The easiest way to work with LLMs

Deno's batteries-included JavaScript/TypeScript toolchain + Jupyter = simple way to work with LLMs View source here: https://github.com/kitsonk/deno-llm Read the accompanying blog posts: https://deno.com/blog/the-dino-llama-and-whale https://deno.com/blog/build-custom-rag-ai-agent 00:00 Intro 00:36 Fundamental concepts 01:00 Setting up 01:50 Building RAG agent 02:40 Pull new models 03:02 Process, parse, convert blog content to vector memory 03:42 Graph of RAG agent steps 04:12 Creating each step 05:25 Putting steps together 05:57 Testing the RAG agent Resources - Ollama: https://ollama.com/download - Deepseek: https://deepseek.com - Jupyter notebooks: https://jupyter.org Deno is an all-in-one batteries included JavaScript and TypeScript toolchain. Website: https://deno.com GitHub: https://github.com/denoland Discord: https://discord.gg/deno Bluesky: https://bsky.app/profile/deno.land Mastodon: https://fosstodon.org/@deno_land Twitter: https:/twitter.com/deno_land