March 13, 2023 • 19 mins
In this episode of The Languageverse, we explore how artificial intelligence (AI) is revolutionizing the language industry. We are joined by two experts in the field: ChatGPT, a large language model trained by OpenAI, and Guille Santana, Marketing Specialist at CCI Group.
Whether you're a language enthusiast, a business leader, or simply curious about the future of AI, this episode of The Languageverse is a must-listen. Join us as we dive into the fascinating world of AI and language.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:07):
Hello everybody.
My name is Indy Vega.
I am the president of CCI Group and Iam conducting today the fourth episode
of The Languageverse, and today I have.
Two very special guests.
The first guest is someone that has beenworking with us for almost two years.
She's our marketingspecialist, Guille Santana.
(00:29):
She is from Mexico, andI love her so, so much.
She's amazing.
And Guille, thank you for, for beingpart of this podcast and for being always
behind the scenes and doing a great job.
Thank you so much Indy.
Thank you for the intro.
I'm happy to finally be here on the podand not , not, um, behind the scenes.
(00:53):
So Guille.
Um, tell us who our secondspecial guest is for today.
Our second special guest.
Hardly needs her introduction becauseit is none other than ChatGPT
but I'm going to read their bio anywaysfor our listeners that may or may
not be familiar with this technology.
(01:14):
So here we go.
Chat, GPT is an AI power chatbot createdby OpenAI, a research and development
company co-founded by Elon Musk in 2015.
OpenAI is dedicated to advancingthe field of artificial intelligence
and ensuring that its benefitsare accessible to everyone.
(01:34):
Their mission is to promote thesafe and responsible development of
artificial general intelligence, whichcan benefit humanity in countless.
That's insane.
Yeah, it's, and, and it's funny becausewhen, when you and I started talking
about doing a, an episode with Chat GPT we said, okay, this is a little
(01:55):
odd, but now putting it together andbringing it, you know, to life is, is,
uh, it's been an interesting process.
And thank you again for your hard work.
So basically what we did is westarted by creating the, the
questions for this podcast, justlike we do with any other guest.
And then, uh, I gave them to Guille.
(02:17):
Tell us what you did with those questions.
So we did two things.
First, we sourced the questionsof course from chat gpt, and then
we used that text to speech AIbot, um, that read the questions.
This AI bot sounds very, very natural.
So Indy, why don't we go ahead andask chat GPT our questions so our
(02:41):
listeners know what we're talking about.
So, okay.
First question, what is chat?
G p T?
Hello, Indy, Guille, andlisteners of the language verse.
I am chat, G P T.
An AI language model developed by OpenAI I have been trained on a diverse
range of texts from the internet, andmy primary function is to generate text
(03:02):
based on the input I receive, I canperform various language tasks such
as answering questions, completingsentences, summarizing articles, and more.
I am here to discuss the topic ofmachine translation and help shed
some light on this exciting field.
That's so cool.
Um, our second questionfor you is who created.
(03:23):
I was created by OpenAI, aresearch organization dedicated to
advancing artificial intelligencein a safe and beneficial.
Open AI was founded in December, 2015 byseveral high profile individuals including
Elon Musk, Sam Altman, Greg Brockman, IliaSutskever, John Schulman, and Yek Zaremba.
(03:43):
Is it possible to use chatG P T for translations?
Yes, it is possible to use chatG p T for translations as it has
been trained on a large corpusof text and multiple language.
However, it's important to note that chatg p t was primarily trained to generate
human-like text in response to promptsin English, so its translations may not
(04:05):
always be accurate or natural sounding.
Additionally, there are dedicatedtranslation models that are specifically
designed for this task and may providemore accurate and reliable translations.
Can you explain to us whatnatural language processing is?
Natural language processing is a branchof artificial intelligence that deals
(04:26):
with the interaction between computersand humans using natural language.
It involves the use of computationaltechniques to analyze, understand,
and generate human language.
N L P is a broad field that encompassesa wide range of tasks, including text
classification, identifying the topicor category of a piece of text, such as
(04:48):
spam detection or sentiment analysis.
Named entity recognition.
Identifying and extracting named entitiessuch as people, places, organizations,
and dates from text machine translation,translating text from one language to
another text generation generating newtexts that is coherent and meaningful
(05:08):
based on a given prompt or inputquestion answering, answering natural
language questions posed by humans.
Sentiment analysis, identifying thesentiment or emotion expressed in a
piece of text to perform these tasks.
N L P systems use a variety oftechniques, including statistical
modeling, machine learning, deeplearning, and rule-based approaches.
(05:33):
N L P is a rapidly evolving field,and its applications are becoming
increasingly widespread fromchatbots and virtual assistance to
language translation and sentimentanalysis and social media monitoring.
This is so much fun, bj.
Okay?
Yes.
Can you give , can you give mean example on how to use chat?
Chat G P T for, let's say, a translationfrom another language into English?
(05:58):
You can use the hugging face Transformerslibrary to load a pre-trained
chat G P T model for translation.
To do this, you first need to installthe Transformers library using pip.
Once you have installed thelibrary, you can load the chat G
P T model for the language pairyou want to translate from N two.
Would you say that using this methodis more accurate than using Google?
(06:22):
The accuracy of using chat g P T fortranslation versus Google Translate
depends on several factors such as thelanguage pair, the type of text being
translated, and the quality of thetraining data used to train the models.
Generally speaking, both chat G P Tand Google Translate use sophisticated
algorithms to perform translationsand are capable of providing
(06:44):
accurate translations in many cases.
However, neither method is perfectand both can produce errors or
awkward translations in some cases.
That being said, chat, G P T is anewer and more advanced language
model than Google Translate and iscapable of producing more fluent
and natural sounding translations.
In some cases, chat G P T isalso more customizable, allowing
(07:07):
you to fine tune the model forspecific use cases or domain.
Ultimately the best approach is totry both methods and see which one
works better for your specific needs.
You may also want to consider usingmultiple translation methods and
comparing the results to improvethe accuracy of your translations.
Interesting.
Now, since we are of course in thelanguage industry, we want to know, can
(07:32):
machine translation replace human transla?
While machine translation has madesignificant progress in recent years, it
is unlikely that it will fully replacehuman translation in the near future.
Machine translation still has limitationswhen it comes to producing high quality
translations, particularly in caseswhere context, nuance or cultural
(07:53):
references play a significant role.
Human translators are able to understandthe broader context of a text, which can
be crucial for providing accurate transla.
They can also adapt translations tofit the target language and culture
and can take into account the intendedaudience and purpose of the translation.
Human translators can also catchand correct errors that a machine
(08:15):
translator might miss and can ensure thattranslations are accurate and consistent.
That being said, machine translation canbe a useful tool for human translators,
especially for large volumes of textor for translations of simpler text.
Machine translation can also beused to provide a quick and rough
translation of a text, which canbe helpful in some situations.
(08:39):
In summary, while machine translationhas made significant strides, it
is unlikely to completely replacehuman translation anytime soon.
Rather, machine translation is best usedas a tool to support human translators
in their work and to provide quickand rough translations when needed.
I definitely agree with that answer.
So for you, which is the best translationsoftware out there as an AI language
(09:04):
model, I don't have a preference forany particular translation software,
and I'm programmed to be impartialwhen it comes to recommendations.
The best translation softwarefor you depends on your
specific needs and requirements.
There are many different translationsoftware options available each with
its own strengths and weaknesses.
Some popular options includeGoogle Translate, Microsoft
(09:27):
Translator, deep L, and SDL trados.
When choosing a translationsoftware, it's important to consider
factors such as the language pairs.
You need to translate the type of textyou'll be translating, the accuracy
and quality of the translations andthe ease of use of the software.
If you're looking for a freeand easy to use option, Google
(09:48):
Translate is a popular choice.
If you need to translate large volumesof text or need more advanced translation
features, you might consider a morespecialized translation software like sdl,
Trados, or MemoQ if you're looking forthe highest possible translation quality.
Deep Bell is known forproducing highly accurate and
natural sounding translations.
(10:10):
Ultimately the best translationsoftware for you will depend on your
specific needs and preferences, andyou may need to try several options to
find the one that works best for you.
So after hearing all this, um,how can I, how can a translation
company benefit from Chad G b T?
A translation company can benefitfrom chat G P T in several ways,
(10:30):
including faster translations.
Chat.
G P T can provide instanttranslations, which can speed up the
translation process significantly.
This means that a translationcompany can handle more projects
in less time, which can increasetheir revenue and profitability.
Improved accuracy Chat.
G P T is a language model that hasbeen trained on vast amounts of text.
(10:53):
This means that it can provideaccurate translations that are free
from errors and inconsistencies,increased productivity Chat.
G P T can handle multiple taskssimultaneously, which means that it
can assist translators in handling alarger volume of translation projects.
This can lead to increased productivityand efficiency Cost savings Chat G
(11:16):
P T can automate some aspects of thetranslation process, which can lead to
cost savings for the translation company.
This is particularly useful for handlinglarge scale translation projects.
Improved customer satisfactionChat, G P T can provide fast and
accurate translations, which canimprove customer satisfaction.
(11:37):
Clients are more likely to return toa translation company that provides
high quality translations quickly.
Overall chat, G P T can be a valuable toolfor a translation company, helping them to
increase productivity, reduce costs, andimprove the quality of their translations.
How can we as a translation company,use chat G P T to increase productivity?
(12:00):
A translation company can use chatG p T to increase productivity by
leveraging its natural languageprocessing capabilities to assist
human translators in various ways.
Chat G p t can automate some aspectsof the translation process, such as
providing instant translations ofshort texts, answering commonly asked
questions, and generating translationsof repetitive phrases and sentence.
(12:24):
This allows human translators to focus onmore complex translation tasks, resulting
in increased productivity and efficiency.
Furthermore, chat, G P T can assistin quality assurance by checking
translations for consistency,accuracy, and readability.
By using chat g p t as a tool tosupport their human translators.
(12:45):
Translation companies can savetime, reduce costs, and provide
high quality translations totheir clients more quickly.
Wow, that's interesting to know.
So, um, how can chat G P T V used toverify the accuracy of a translation?
Chat, G P T can be used to verify theaccuracy of a translation by comparing
(13:05):
it to the output of the language model.
This can be done by inputtingthe source text into chat G P
T, and generating a translation.
Then the human generated translationcan be compared to the chat G P T
generated translation to identify anydiscrepancies, errors, or inconsist.
Chat, G P T can also identify potentialmistranslations, incorrect grammar,
(13:29):
usage, or awkward phrasing, providingfeedback to the human translator.
Additionally, chat, G P T can be usedto identify terminology or specific
words that are frequently used ina particular context, which can
help ensure consistency in transla.
By using chat G P T to verifythe accuracy of translations.
(13:50):
Translation companies can improvethe quality of their translations
and increase client satisfaction.
That's very interesting.
Is there a way to use Chat G PT to improve customer service?
Yes.
Chat, G P T can be used to improvecustomer service in several ways.
As a language model chat, G P Tcan be trained to respond to common
(14:12):
customer inquiries and supportrequests in a natural language format.
This can be particularly usefulfor businesses that receive a high
volume of customer inquiries as chat.
G P T can assist in answering commonquestions or providing basic support
without the need for human inter.
Additionally chat, G P T can beintegrated into chatbots or other
(14:34):
customer service platforms to provideinstant 24 7 support to customers.
Chat, G P T can also be used to analyzecustomer feedback and sentiment,
identifying areas where the companycan improve its customer service.
By using chat G P T to improve customerservice businesses can enhance the
customer experience, increase customersatisfaction and loyalty, and streamline
(14:58):
their customer support operations.
Can I integrate chat GP T in my own website?
Yes, it is possible to integratechat G p T into your own website.
There are various ways to do this, butone common approach is to use an API
that allows you to connect your websiteto the chat G P T language model.
(15:18):
OpenAI, the creators of Chat G PT offer an API that you can use
to integrate the language modelinto your website or application.
To use the api, you would needto sign up for an account, obtain
an API key, and then integratethe API into your website's code.
Once integrated your website, users caninteract with chat g p t through a chat
(15:41):
interface which can be customized tomatch your website's design and brand.
Alternatively, you can use pre-builtchatbot platforms that integrate with chat
G P T, such as dialogue flow or bot star.
These platforms provide user-friendlyinterfaces for building and customizing
chatbots that use chat G P T asthe underlying language model.
(16:02):
Thank you.
So we always send our podcast byasking our guests this question,
but we're tweaking it a little bitfor you, what is the most common
idiomatic expression in the us?
One of the most common idiomaticexpressions in the US is break a leg.
This expression is often used to wishsomeone good luck before a performance
(16:23):
or presentation, and it's believed tohave originated in the theater world.
The expression is thought to havearisen as a way to counteract the
belief that wishing someone goodluck can actually bring bad luck.
Instead by saying, break a leg.
It's like you're wishing the performerto take a physical action rather
than simply wishing them well.
Giga did such a good job with textto speech that I almost feel like
(16:46):
saying Thank you chat G P T forparticipating in our podcast today.
We hope to see you again soon.
No, thank you ladies.
It was an honor.
I'd definitely be back.
Well, uh, GIK, this is, um, this isa tool that I can definitely see,
(17:07):
uh, that is it can help our industry.
I know that a lot of people isreally afraid of it, but, um, I think
that is just like any other tool.
It's not going to replace humans, but itdefinitely can, can help in different.
I definitely agree in the right now,we're not in a place where AI can replace
(17:29):
humans, especially for certain types oftranslations and interpretation as well.
But, um, maybe we can do anepisode on machine translation with
someone that uses it on a dailybasis to, to help them with their.
So our listeners can know what it's likeworking with machine translation, how
(17:52):
it can be used to benefit the languageservice providers all over the world,
and how we humans can work together with.
Technology platforms and a AI fora better and more efficient job.
I remember years ago people used to saythere is no way that remote interpretation
(18:19):
will ever be used in the legal system.
Them and look where we are now.
You know, uh, we just cannotbe afraid of technology.
And I'm going to say, say it again.
If Chad g p t is used correctly,I can see the benefit in, in our
(18:39):
jobs, in our, in our daily lives.
Now, I can't reallyremember who said this.
Um, you know, somebody said technologywill never replace human translators,
but translators who use technologywill replace those who don't, and
I think that is so on point our.
(19:01):
Almost afraid of it just as ifwe were with, um, with remote
simultaneous interpretation.
But I think it will be, uh, uh, silly ofus because I, I don't remember who said
this, but technology will not replacehuman translators, but translators who
use technology will replace those who don.
(19:22):
I love that.
I love that.
And it's totally true andit's already happening.
Oh, absolutely.
And it happens with, withevery industry, I think.
Yeah.
Uh, tech, we need to stop seeing,uh, advancements in technology as,
as, you know, like, uh, an evil,but we need to learn how to use
(19:42):
them properly to our advantage.
. So, and I gotta confess something to you.
I've been using cha g p t towrite our social media captions.
That way I don't have to botherlike our translators to like
check or double check or reviewwhatever I write for social media.
Cuz you know, English is not my firstlanguage and I am not a translator.
(20:06):
Um, I, I have confidence inmy English, but I know that
sometimes it isn't perfect.
Chad, g p t has been helping mewith that, so that's fantastic.
Yes.
That's great.
Gigia, thank you.
Thank you again for a,for a fantastic, uh, work.
Thank you for, for, um, another amazingpodcast and I can't wait to hear it.
(20:32):
Me too.
Me too.
This will be outsoon, . Okay, thanks Kija.
And thanks to all our listeners.
If you guys have any suggestions orany ideas, please feel free to reach
out to Gig or myself at, um, throughour website, uh, www.myccigroup.com.
(20:56):
Thank you.
Be well.
Until next time.
Hello everybody.
My name is Indy Vega.
I am the president of CCI Group and Iam conducting today the fourth episode
of The Languageverse, and today I have.
Two very special guests.
The first guest is someone that has beenworking with us for almost two years.
She's our marketingspecialist, Guille Santana.
(00:29):
She is from Mexico, andI love her so, so much.
She's amazing.
And Guille, thank you for, for beingpart of this podcast and for being always
behind the scenes and doing a great job.
Thank you so much Indy.
Thank you for the intro.
I'm happy to finally be here on the podand not , not, um, behind the scenes.
(00:53):
So Guille.
Um, tell us who our secondspecial guest is for today.
Our second special guest.
Hardly needs her introduction becauseit is none other than ChatGPT
but I'm going to read their bio anywaysfor our listeners that may or may
not be familiar with this technology.
(01:14):
So here we go.
Chat, GPT is an AI power chatbot createdby OpenAI, a research and development
company co-founded by Elon Musk in 2015.
OpenAI is dedicated to advancingthe field of artificial intelligence
and ensuring that its benefitsare accessible to everyone.
(01:34):
Their mission is to promote thesafe and responsible development of
artificial general intelligence, whichcan benefit humanity in countless.
That's insane.
Yeah, it's, and, and it's funny becausewhen, when you and I started talking
about doing a, an episode with Chat GPT we said, okay, this is a little
(01:55):
odd, but now putting it together andbringing it, you know, to life is, is,
uh, it's been an interesting process.
And thank you again for your hard work.
So basically what we did is westarted by creating the, the
questions for this podcast, justlike we do with any other guest.
And then, uh, I gave them to Guille.
(02:17):
Tell us what you did with those questions.
So we did two things.
First, we sourced the questionsof course from chat gpt, and then
we used that text to speech AIbot, um, that read the questions.
This AI bot sounds very, very natural.
So Indy, why don't we go ahead andask chat GPT our questions so our
(02:41):
listeners know what we're talking about.
So, okay.
First question, what is chat?
G p T?
Hello, Indy, Guille, andlisteners of the language verse.
I am chat, G P T.
An AI language model developed by OpenAI I have been trained on a diverse
range of texts from the internet, andmy primary function is to generate text
(03:02):
based on the input I receive, I canperform various language tasks such
as answering questions, completingsentences, summarizing articles, and more.
I am here to discuss the topic ofmachine translation and help shed
some light on this exciting field.
That's so cool.
Um, our second questionfor you is who created.
(03:23):
I was created by OpenAI, aresearch organization dedicated to
advancing artificial intelligencein a safe and beneficial.
Open AI was founded in December, 2015 byseveral high profile individuals including
Elon Musk, Sam Altman, Greg Brockman, IliaSutskever, John Schulman, and Yek Zaremba.
(03:43):
Is it possible to use chatG P T for translations?
Yes, it is possible to use chatG p T for translations as it has
been trained on a large corpusof text and multiple language.
However, it's important to note that chatg p t was primarily trained to generate
human-like text in response to promptsin English, so its translations may not
(04:05):
always be accurate or natural sounding.
Additionally, there are dedicatedtranslation models that are specifically
designed for this task and may providemore accurate and reliable translations.
Can you explain to us whatnatural language processing is?
Natural language processing is a branchof artificial intelligence that deals
(04:26):
with the interaction between computersand humans using natural language.
It involves the use of computationaltechniques to analyze, understand,
and generate human language.
N L P is a broad field that encompassesa wide range of tasks, including text
classification, identifying the topicor category of a piece of text, such as
(04:48):
spam detection or sentiment analysis.
Named entity recognition.
Identifying and extracting named entitiessuch as people, places, organizations,
and dates from text machine translation,translating text from one language to
another text generation generating newtexts that is coherent and meaningful
(05:08):
based on a given prompt or inputquestion answering, answering natural
language questions posed by humans.
Sentiment analysis, identifying thesentiment or emotion expressed in a
piece of text to perform these tasks.
N L P systems use a variety oftechniques, including statistical
modeling, machine learning, deeplearning, and rule-based approaches.
(05:33):
N L P is a rapidly evolving field,and its applications are becoming
increasingly widespread fromchatbots and virtual assistance to
language translation and sentimentanalysis and social media monitoring.
This is so much fun, bj.
Okay?
Yes.
Can you give , can you give mean example on how to use chat?
Chat G P T for, let's say, a translationfrom another language into English?
(05:58):
You can use the hugging face Transformerslibrary to load a pre-trained
chat G P T model for translation.
To do this, you first need to installthe Transformers library using pip.
Once you have installed thelibrary, you can load the chat G
P T model for the language pairyou want to translate from N two.
Would you say that using this methodis more accurate than using Google?
(06:22):
The accuracy of using chat g P T fortranslation versus Google Translate
depends on several factors such as thelanguage pair, the type of text being
translated, and the quality of thetraining data used to train the models.
Generally speaking, both chat G P Tand Google Translate use sophisticated
algorithms to perform translationsand are capable of providing
(06:44):
accurate translations in many cases.
However, neither method is perfectand both can produce errors or
awkward translations in some cases.
That being said, chat, G P T is anewer and more advanced language
model than Google Translate and iscapable of producing more fluent
and natural sounding translations.
In some cases, chat G P T isalso more customizable, allowing
(07:07):
you to fine tune the model forspecific use cases or domain.
Ultimately the best approach is totry both methods and see which one
works better for your specific needs.
You may also want to consider usingmultiple translation methods and
comparing the results to improvethe accuracy of your translations.
Interesting.
Now, since we are of course in thelanguage industry, we want to know, can
(07:32):
machine translation replace human transla?
While machine translation has madesignificant progress in recent years, it
is unlikely that it will fully replacehuman translation in the near future.
Machine translation still has limitationswhen it comes to producing high quality
translations, particularly in caseswhere context, nuance or cultural
(07:53):
references play a significant role.
Human translators are able to understandthe broader context of a text, which can
be crucial for providing accurate transla.
They can also adapt translations tofit the target language and culture
and can take into account the intendedaudience and purpose of the translation.
Human translators can also catchand correct errors that a machine
(08:15):
translator might miss and can ensure thattranslations are accurate and consistent.
That being said, machine translation canbe a useful tool for human translators,
especially for large volumes of textor for translations of simpler text.
Machine translation can also beused to provide a quick and rough
translation of a text, which canbe helpful in some situations.
(08:39):
In summary, while machine translationhas made significant strides, it
is unlikely to completely replacehuman translation anytime soon.
Rather, machine translation is best usedas a tool to support human translators
in their work and to provide quickand rough translations when needed.
I definitely agree with that answer.
So for you, which is the best translationsoftware out there as an AI language
(09:04):
model, I don't have a preference forany particular translation software,
and I'm programmed to be impartialwhen it comes to recommendations.
The best translation softwarefor you depends on your
specific needs and requirements.
There are many different translationsoftware options available each with
its own strengths and weaknesses.
Some popular options includeGoogle Translate, Microsoft
(09:27):
Translator, deep L, and SDL trados.
When choosing a translationsoftware, it's important to consider
factors such as the language pairs.
You need to translate the type of textyou'll be translating, the accuracy
and quality of the translations andthe ease of use of the software.
If you're looking for a freeand easy to use option, Google
(09:48):
Translate is a popular choice.
If you need to translate large volumesof text or need more advanced translation
features, you might consider a morespecialized translation software like sdl,
Trados, or MemoQ if you're looking forthe highest possible translation quality.
Deep Bell is known forproducing highly accurate and
natural sounding translations.
(10:10):
Ultimately the best translationsoftware for you will depend on your
specific needs and preferences, andyou may need to try several options to
find the one that works best for you.
So after hearing all this, um,how can I, how can a translation
company benefit from Chad G b T?
A translation company can benefitfrom chat G P T in several ways,
(10:30):
including faster translations.
Chat.
G P T can provide instanttranslations, which can speed up the
translation process significantly.
This means that a translationcompany can handle more projects
in less time, which can increasetheir revenue and profitability.
Improved accuracy Chat.
G P T is a language model that hasbeen trained on vast amounts of text.
(10:53):
This means that it can provideaccurate translations that are free
from errors and inconsistencies,increased productivity Chat.
G P T can handle multiple taskssimultaneously, which means that it
can assist translators in handling alarger volume of translation projects.
This can lead to increased productivityand efficiency Cost savings Chat G
(11:16):
P T can automate some aspects of thetranslation process, which can lead to
cost savings for the translation company.
This is particularly useful for handlinglarge scale translation projects.
Improved customer satisfactionChat, G P T can provide fast and
accurate translations, which canimprove customer satisfaction.
(11:37):
Clients are more likely to return toa translation company that provides
high quality translations quickly.
Overall chat, G P T can be a valuable toolfor a translation company, helping them to
increase productivity, reduce costs, andimprove the quality of their translations.
How can we as a translation company,use chat G P T to increase productivity?
(12:00):
A translation company can use chatG p T to increase productivity by
leveraging its natural languageprocessing capabilities to assist
human translators in various ways.
Chat G p t can automate some aspectsof the translation process, such as
providing instant translations ofshort texts, answering commonly asked
questions, and generating translationsof repetitive phrases and sentence.
(12:24):
This allows human translators to focus onmore complex translation tasks, resulting
in increased productivity and efficiency.
Furthermore, chat, G P T can assistin quality assurance by checking
translations for consistency,accuracy, and readability.
By using chat g p t as a tool tosupport their human translators.
(12:45):
Translation companies can savetime, reduce costs, and provide
high quality translations totheir clients more quickly.
Wow, that's interesting to know.
So, um, how can chat G P T V used toverify the accuracy of a translation?
Chat, G P T can be used to verify theaccuracy of a translation by comparing
(13:05):
it to the output of the language model.
This can be done by inputtingthe source text into chat G P
T, and generating a translation.
Then the human generated translationcan be compared to the chat G P T
generated translation to identify anydiscrepancies, errors, or inconsist.
Chat, G P T can also identify potentialmistranslations, incorrect grammar,
(13:29):
usage, or awkward phrasing, providingfeedback to the human translator.
Additionally, chat, G P T can be usedto identify terminology or specific
words that are frequently used ina particular context, which can
help ensure consistency in transla.
By using chat G P T to verifythe accuracy of translations.
(13:50):
Translation companies can improvethe quality of their translations
and increase client satisfaction.
That's very interesting.
Is there a way to use Chat G PT to improve customer service?
Yes.
Chat, G P T can be used to improvecustomer service in several ways.
As a language model chat, G P Tcan be trained to respond to common
(14:12):
customer inquiries and supportrequests in a natural language format.
This can be particularly usefulfor businesses that receive a high
volume of customer inquiries as chat.
G P T can assist in answering commonquestions or providing basic support
without the need for human inter.
Additionally chat, G P T can beintegrated into chatbots or other
(14:34):
customer service platforms to provideinstant 24 7 support to customers.
Chat, G P T can also be used to analyzecustomer feedback and sentiment,
identifying areas where the companycan improve its customer service.
By using chat G P T to improve customerservice businesses can enhance the
customer experience, increase customersatisfaction and loyalty, and streamline
(14:58):
their customer support operations.
Can I integrate chat GP T in my own website?
Yes, it is possible to integratechat G p T into your own website.
There are various ways to do this, butone common approach is to use an API
that allows you to connect your websiteto the chat G P T language model.
(15:18):
OpenAI, the creators of Chat G PT offer an API that you can use
to integrate the language modelinto your website or application.
To use the api, you would needto sign up for an account, obtain
an API key, and then integratethe API into your website's code.
Once integrated your website, users caninteract with chat g p t through a chat
(15:41):
interface which can be customized tomatch your website's design and brand.
Alternatively, you can use pre-builtchatbot platforms that integrate with chat
G P T, such as dialogue flow or bot star.
These platforms provide user-friendlyinterfaces for building and customizing
chatbots that use chat G P T asthe underlying language model.
(16:02):
Thank you.
So we always send our podcast byasking our guests this question,
but we're tweaking it a little bitfor you, what is the most common
idiomatic expression in the us?
One of the most common idiomaticexpressions in the US is break a leg.
This expression is often used to wishsomeone good luck before a performance
(16:23):
or presentation, and it's believed tohave originated in the theater world.
The expression is thought to havearisen as a way to counteract the
belief that wishing someone goodluck can actually bring bad luck.
Instead by saying, break a leg.
It's like you're wishing the performerto take a physical action rather
than simply wishing them well.
Giga did such a good job with textto speech that I almost feel like
(16:46):
saying Thank you chat G P T forparticipating in our podcast today.
We hope to see you again soon.
No, thank you ladies.
It was an honor.
I'd definitely be back.
Well, uh, GIK, this is, um, this isa tool that I can definitely see,
(17:07):
uh, that is it can help our industry.
I know that a lot of people isreally afraid of it, but, um, I think
that is just like any other tool.
It's not going to replace humans, but itdefinitely can, can help in different.
I definitely agree in the right now,we're not in a place where AI can replace
(17:29):
humans, especially for certain types oftranslations and interpretation as well.
But, um, maybe we can do anepisode on machine translation with
someone that uses it on a dailybasis to, to help them with their.
So our listeners can know what it's likeworking with machine translation, how
(17:52):
it can be used to benefit the languageservice providers all over the world,
and how we humans can work together with.
Technology platforms and a AI fora better and more efficient job.
I remember years ago people used to saythere is no way that remote interpretation
(18:19):
will ever be used in the legal system.
Them and look where we are now.
You know, uh, we just cannotbe afraid of technology.
And I'm going to say, say it again.
If Chad g p t is used correctly,I can see the benefit in, in our
(18:39):
jobs, in our, in our daily lives.
Now, I can't reallyremember who said this.
Um, you know, somebody said technologywill never replace human translators,
but translators who use technologywill replace those who don't, and
I think that is so on point our.
(19:01):
Almost afraid of it just as ifwe were with, um, with remote
simultaneous interpretation.
But I think it will be, uh, uh, silly ofus because I, I don't remember who said
this, but technology will not replacehuman translators, but translators who
use technology will replace those who don.
(19:22):
I love that.
I love that.
And it's totally true andit's already happening.
Oh, absolutely.
And it happens with, withevery industry, I think.
Yeah.
Uh, tech, we need to stop seeing,uh, advancements in technology as,
as, you know, like, uh, an evil,but we need to learn how to use
(19:42):
them properly to our advantage.
. So, and I gotta confess something to you.
I've been using cha g p t towrite our social media captions.
That way I don't have to botherlike our translators to like
check or double check or reviewwhatever I write for social media.
Cuz you know, English is not my firstlanguage and I am not a translator.
(20:06):
Um, I, I have confidence inmy English, but I know that
sometimes it isn't perfect.
Chad, g p t has been helping mewith that, so that's fantastic.
Yes.
That's great.
Gigia, thank you.
Thank you again for a,for a fantastic, uh, work.
Thank you for, for, um, another amazingpodcast and I can't wait to hear it.
(20:32):
Me too.
Me too.
This will be outsoon, . Okay, thanks Kija.
And thanks to all our listeners.
If you guys have any suggestions orany ideas, please feel free to reach
out to Gig or myself at, um, throughour website, uh, www.myccigroup.com.
(20:56):
Thank you.
Be well.
Until next time.
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