llm.md

LLM

prompts

• https://github.com/preset-io/promptimize
• simple prompt engineering training from anthropic https://docs.google.com/spreadsheets/d/19jzLgRruG9kjUQNKtCg1ZjdD6l6weA6qRXG5zLIAhC8/edit?gid=150872633#gid=150872633 (Anthropic's Prompt Engineering Interactive Tutorial [PUBLIC ACCESS])

tokenization

• https://github.com/openai/tiktoken

vector databases

• https://github.com/facebookresearch/faiss
• https://www.pinecone.io/
• https://www.trychroma.com/

private

• https://bdtechtalks.com/2023/06/01/create-privategpt-local-llm/amp/

stacks

serving LLMs

• https://github.com/ajndkr/lanarky
• https://github.com/deepset-ai/haystack (with Elasticsearch)

full e2e example

• https://github.com/praj2408/Langchain-PDF-App-GUI

no code GUI tools

• https://github.com/FlowiseAI/Flowise
• https://github.com/gmpetrov/databerry

models

• https://simonwillison.net/2024/Dec/24/qvq/
• https://simonwillison.net/2024/Dec/26/deepseek-v3/