What's AI Podcast by Louis-François Bouchard

Have you ever wanted to take a language model and make it answer the way you want without needing a mountain of data?

Well, OpenAI’s got something for us: Reinforcement Fine-Tuning, or RFT, and it changes how we customize AI models. Instead of retraining it with feeding examples of what we want and hoping it learns in the classical way, we actually teach it by rewarding correct answers and penalizing wrong ones, just like training a...

ChatGPT is completely changing how we learn programming.

Instead of getting bogged down by coding theory, even beginners can jump right into building projects from day one.

Quite the difference compared to university!

With tools as simple as ChatGPT, you can experiment with building real applications right from the start quite easily without understanding much.

This hands-on approach lets you learn by doing, offering instant feedback...

Software engineers vs. ML engineers vs. prompt engineers vs. LLM developers... all explained

The rise of LLMs isn’t just about technology; it’s also about people. To unlock their full potential, we need a workforce with new skills and roles. This includes LLM Developers, who bridge the gap between software development, machine learning engineering, and prompt engineering.

Let’s compare these roles...

Master, Use and Build wit...

What most people call agents aren’t agents. I’ve never really liked the term “agent”, until I saw this recent article by Anthropic, where I totally agree and now see how we can call something an agent. The vast majority is simply an API call to a language model. It’s this. A few lines of code and a prompt.

This cannot act independently, make decisions or do anything. It simply replies to your users. Still, we call them agents. But ...

In the early days of LLMs, context windows, which is what we send them as text, were small, often capped at just 4,000 tokens (or 3,000 words), making it impossible to load all relevant context.

This limitation gave rise to approaches like Retrieval-Augmented Generation (RAG) in 2023, which dynamically fetches the necessary context.

As LLMs evolved to support much larger context windows—up to 100k or even millions of to...

I think the first though about LLMs and generative AI, is often, “Cool tech buzzwords, but do I really need to know this?” YES. Here’s why diving into LLMs is practically essential... 🚀 1. They transform how we work Think about all the repetitive, boring tasks in your day. You can (almost) automate them, building tools that make you 10x more productive. That’s what LLMs can do. If you can't, someone else can. If it's t...

When we talk about building powerful machine learning solutions, like large language models or retrieval-augmented generation, one key element that often flies under the radar is how to connect all the data and models and deploy them in a real product. This is where APIs come in.

In this one, we’re diving into the world of APIs — what they are, why you might need one, and what deployment options are available.

Build Your First...

Build Your First Scalable Product with LLMs: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29

Master LLMs and Get Industry-ready Now: https://academy.towardsai.net/?ref=1f9b29

Our ebook: https://academy.towardsai.net/courses/buildingllmsforproduction?ref=1f9b29 Video 8/10 of the "From Beginner to Advanced LLM Developer" course by Towards AI (linked above). The most practical and in-depth LLM Developer ...

In this one, I discuss the dilemma between using retrieval-based generation and the newer "long context models".

Long context models, like the Gemini suite of models, allow us to send up to millions of tokens (thousands of text pages), whereas retrieval (RAG)-based systems allow us to search through as much (if not more) content and retrieve only the necessary bits to send the LLM for improved answers.

Both have advantages and dis...

► Get your copy of "Building LLMs for Production": https://amzn.to/4bqYU9b

►The e-book version: https://academy.towardsai.net/courses/buildingllmsforproduction?ref=1f9b29

► Our new course "From Beginners to Advanced LLM Developer": https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29

►Full article and references: https://www.louisbouchard.ai/openai-o1/

►Twitter: https://twitter.com/Whats_AI

►My Newsletter...

In this episode, Luis Serrano and I dive into the transformative impact of AI on education, forecasting a radical shift in how future generations learn and think.

► Luis' website: https://serrano.academy/

►Twitter: https://twitter.com/Whats_AI

►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

►Support me on Patreon: https://www.patreon.com/whatsai

►Join Our AI Discord: https://disco...

Register to GTC (attend in person, or free online): https://nvda.ws/3XQRtkl

Interested in end-to-end PM job hunting and up-skilling program by Dr. Nancy Li’s PM Accelerator? Register this free masterclass about product portfolio and stay until the end to learn more about the program (Use the code LOUIS500 for 500$ off on her program!): https://www.drnancyli.com/a/2147615411/2HzsofFw

Introducing Dr. Nancy Li, a versatile e...

In this episode, I talk with Avery Smith, a data analytics expert and educator who gives practical strategies for breaking into the data analytics field, leveraging AI for learning and career development. Avery shares his journey into data and teaching, and insights on helping others transition into data careers through his Data Analytics Accelerator program, emphasizing the importance of practical projects and how he leverages AI ...

In this episode I had the opportunity to talk with Tina Huang, founder of the Lonely Octopus platform, a highly successful YouTube channel and experienced freelancer in the AI space. Tina shares her invaluable insights on leveraging AI in education, the nuances of freelancing in the tech industry, and strategies for enhancing personal productivity. The episode is for anyone looking to navigate the landscape of technology (especiall...

In this episode, I received Mariam Brian, CEO of Holo Art, to talk about the transformative role of AI in the art world. She discusses how artificial intelligence is reshaping artistic creation and expression and addresses the ethical implications of this technological evolution. This conversation, accessible to anyone, offers a fantastic perspective on the intersection of art and AI, highlighting the potential for a new era of cre...

A new episode with Jerome Pasquero, a Machine Learning Director at Sama, a leading company for data annotation solutions, where we dive into the role of data in AI's evolution. We explore the nuances of data annotation, the ethical implications of data in AI, and how data is shaping the future of technology. Don't miss Jerome Pasquero's insights on the intersection of data and AI!

►Jerome Pasquero: https://www.link...

►Think Autonomous: https://www.thinkautonomous.ai/

►Jeremy’s linkedin: https://www.linkedin.com/in/jeremycohen2626/

►Newsletter: https://www.thinkautonomous.ai/private-emails-home/

►Twitter: https://twitter.com/Whats_AI

►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

►Support me on Patreon: https://www.patreon.com/whatsai

►Join Our AI Discord: https://discord.gg/learnaitogether

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