Generative AI for beginners | Large Language Models (LLMs) | Transformer | nanoGPT | RAG | LangChain

For engineers looking to master Generative AI and LLMs, it is not enough to just deploy LangChain applications. You need to develop a fundamental and deep understanding of the basic building blocks of Large Language Models.

This lecture will show you the roadmap to learn Generative AI and build your profile in this field.

The lecture will cover the following points:

(1) History of Generative AI
(2) Start learning about LLMs
(3) Build your first character level LLM: The Makemore project
(4) Understand Transformers and the Attention Mechanism
(5) Build your first nano GPT. Train it on your custom data.
(6) What are vector embeddings?
(7) What is Retrieval Augmented Generation (RAG)?
(8) Build and deploy your first RAG project: Interact with PDFs
(9) What is LlamaIndex and Langchain?
(10) What are LLM agents?

This 90-minute session is packed with useful information we have learned over the past 6 months.

Don’t let go of this opportunity!

[bishalbhattacharjee]

Sir can you please make a complete roadmap for becoming Ai/ML engineer 🙏

[somveersrivastava]

Sir, Please provide the documents list mentioned in the video🙏🙏🙏🙏🙏🙏🙏🙏🙏