Publications similaires
Backpropagation, step-by-step | DL3
Parn0cadminThe following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walkthrough here, and the representation of these “nudges” in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen’s book or…
Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer
Parn0cadminLearn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer. This Python course teaches you how to use RAG to combine your own custom data with the power of Large Language Models (LLMs). 💻 Code: https://github.com/langchain-ai/rag-from-scratch ⭐️ Course Contents ⭐️⌨️ (0:00:00) Overview⌨️ (0:05:53) Indexing⌨️ (0:10:40) Retrieval⌨️ (0:15:52) Generation⌨️ (0:22:14)…
Prompt Engineering Tutorial – Master ChatGPT and LLM Responses
Parn0cadminLearn prompt engineering techniques to get better results from ChatGPT and other LLMs.
Introduction to Generative AI
Parn0cadminWhat is generative AI? Not sure where to begin? Check out this short course! We’ll take you through the basics of generative AI including common applications, model types, and the fundamentals of how you can use it. Discover the power behind this technology and see how it’s changing the way we solve problems, and tell…
Vector Search and Embeddings
Parn0cadminReady to launch your vector search game? 🚀 Ditch your traditional keywords and discover the power of vector search! This video will help you discover ways users can make search smarter, and generate creative text along the way. Get hands-on with vector search on Vertex AI! Jump directly to the topics you want to learn:00:00…
Large Language Models explained briefly
Parn0cadminTimestamps:0:00 – Who this was made for0:41 – What are large language models?7:48 – Where to learn more