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Byn0cadminLangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Keen shares an overview of the features and uses of LangChain.
Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer
Byn0cadminLearn 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)…
What does it mean for computers to understand language? | LM1
Byn0cadminAn introduction to language modeling, followed by an explanation of the N-Gram language model! Sources (includes the entire series): https://docs.google.com/document/d/1e… Chapters0:00 Introduction1:39 What is NLP?2:45 What is a Language Model?4:38 N-Gram Language Model7:20 Inference9:18 Outro
Harvard CS50’s Artificial Intelligence with Python
Byn0cadminHarvard CS50’s Artificial Intelligence with Python – Full University Course This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the…
The Attention Mechanism in Large Language Models
Byn0cadminAttention mechanisms are crucial to the huge boom LLMs have recently had.In this video you’ll see a friendly pictorial explanation of how attention mechanisms work in Large Language Models.This is the first of a series of three videos on Transformer models. https://www.youtube.com/watch?v=OxCpWwDCDFQ