AI Unlocked
Join the experts at EVO AI as we unlock the power of Artificial Intelligence. We cover everything from Machine Learning & Artificial Neural Networks to GANs, MLOps, AIOps and Deep Learning. We look at latest developments, available platforms & technologies and how we can use these new emerging tools to get ahead. All in an easy-to-understand format that includes both technical details Q&As and "how-to" episodes allowing everyone to join in: from AI-curious folk all the way to entrepreneurs and executives. Tune in every Saturday evening if you're eager to stay at the forefront of AI innovation.
Episodes
Today's Episode about LoRA, QLoRA and PEFT tecniques has the following structure:
Introduction
- Introduction to the central themes of open-source AI models, their reliance on training data, and the role of techniques like LoRA, QLoRA, and PEFT.
Open-Source AI Models Explained
- Discussion on what open-source AI models are and their significance in the AI landscape.
- Explain the common challenges these mo...
In this episode about Open-Source vs Closed-Source LLMs, we will cover the following:
Introduction
- Brief introduction to the topic.
- Overview of what will be covered in the episode, including historical perspectives and future trends.
Chapter 1: Historical Context of Open-Source AI
- The origins and evolution of open-source AI.
- Milestones in open-source AI development.
- How historical developments ha...
In this episode we cover:
AI and LoRa Networks
- AI plays a vital role in enhancing LoRa networks, which are crucial for long-range, low-power communication in the IoT landscape.
Introduction to LoRa and AI
- LoRa (Long Range) and LoRaWAN (Long Range Wide Area Network) are pivotal technologies in IoT, offering low-power, wide-area networking capabilities.
- They are essential for connecting devices over large areas, fu...
In today's episode we will cover the following:
- Mathematics and machine learning are foundational for autonomous systems.
- Calculus, linear algebra, and probability theory are used in self-driving cars.
- Machine learning processes sensor data for navigation and obstacle avoidance.
- IoT and quantum computing hold promise for the future of autonomous tech.
- IoT facilitates data sharing and collective decisi...
In this "AI Unlocked" episode, we will cover the following:
- Pytorch and TensorFlow Overview: Both are key AI frameworks with diverse applications in AI.
- Development and Features: PyTorch, by Facebook AI Research, offers a dynamic computation graph and user-friendly interface. TensorFlow, created by Google, is known for robustness and scalability.
- Core Differences: PyTorch uses dynamic graphs and is easier to lear...
- Explore the essence of machine learning (ML) and its distinction from broader artificial intelligence (AI) concepts.
- Unpack why ML is the preferred choice for various industrial applications over traditional AI.
- Delve into the core mathematical and technical foundations that enable ML to drive industrial innovation.
- Highlight the latest advancements in ML techniques and how they're revolutionizing industrial processes. ...
In this episode, we will discuss AI music generation. Transformers and Diffusion models that help AI create music, the mathematics behind AI music generation. We will also cover some tools that are either free or paid subscriptions, so anyone can use them to generate their own AI music. Of course, we will briefly look at some challenges AI faces in music creation and as usual we will look at what the future holds in this field.
In today's episode of AI Unlocked, we will cover the following:
Introduction to Transformers in AI:
- Explanation of the Transformer architecture and its impact on AI.
- Discussion on how Transformers analyze entire texts simultaneously using self-attention mechanisms.
Evolution of Large Language Models (LLMs):
- The development of models like GPT-4 and BERT from Transformer technology.
- Capabilities of...
In this episode, we will cover:
- Introduction to Encoder-Decoder Mechanisms
- Basics of Neural Machine Translation
- Deep Dive into the Encoder-Decoder Model
- The Power of Attention in Neural Networks
- Recent Advancements in Encoder-Decoder Mechanisms
- Practical Applications of Encoder-Decoder Models
- Beyond Transformers: Other Mechanisms
- Training and Fine-tuning Explained
- Inference in Encoder-Decoder Mechanisms
- Tra...
This episode has the following structure and topics:
- Introduction to NLP
- AG limpse into Natural Language Processing History
- Understanding NLP: Basics and Mechanics
- Applications of Natural Language Processing
- The Potential of NLP
- Future Developments and Challenges
- Natural Language Processing in Action: Applications and Use-Cases
- Conclusion
In this episode, we cover REST, SOAP, GraphQL, gRPC and WebSocket APIs.
We also look at API principles from API First Design to Rate Limiting and OAuth.
Then we look at API Tools from Postman to Swagger and Insomnia, then to API Gateway, SoapUI and JMeter.
Then we move to some Real-World Applications of APIs in Driving Large Language Models such as Content Creation, Chatbots, Language Translation Services, Education, Sentiment Anal...
Introduction to Deep Learning
The Evolution of Deep Learning - A Historical Perspective
The Brain Behind Deep Learning - Artificial Neural Networks:
Types of Deep Learning - CNNs, RNNs, and More
Training Deep Learning Models - How Do They Learn?:
Real-World Applications - Where is Deep Learning Used?:
Challenges and Ethical Considerations
The Future of Deep Learning - What’s Next?:
In this episode, we cover what is Prompt Engineering, we look at what is a good prompt or a bad one, when there is too much or too little information in a prompt, how and why an LLM treats various words from a prompt in a different way and what decomposition means for crafting a good suite of prompts that can solve very complex problems.
In this episode we will cover:
- What are Large Language Models and What are Foundation Models?
- Major LLMs:
- Falcon LLM
- GPT -3 and GPT -4
- PaLM
- BARD
- BERT
- Claude and Claude 2
- LLaMA and LLaMA 2
- ERNIE 3.0
- Bloom
- Turing-NLG
- Chinchilla
Can AI become a force of good or are we going to lose control over it?
In this episode, we look at how AI can evolve as we are at a crossroads.
Are we going to be smart enough and develop artificial intelligence to help us cure disease, extend life or explore the universe?
Or, in our quest to develop AI as fast as possible, we will end up with a sentient artificial intelligence with a different agenda than ours and this will ult...
In our Inaugural Episode, we cover briefly:
Section 1: Artificial Intelligence (AI) and Machine Learning
Section 2: Supervised vs. Unsupervised Learning
Section 3: Deep Learning and Generative Models
Section 4: Understanding Generative AI
Section 5: Applications in Various Business Sizes
Section 6: Transformers in AI
Section 7: Challenges and Solutions in AI
Section 8: Prompt Engineering and Detection of Hallucinations
Section 9: T...
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