https://github.com/colburncodes/llm_engineering
LLM Engineer Documentation & Learnings
https://github.com/colburncodes/llm_engineering
Last synced: about 1 year ago
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LLM Engineer Documentation & Learnings
- Host: GitHub
- URL: https://github.com/colburncodes/llm_engineering
- Owner: colburncodes
- Created: 2024-10-11T01:53:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-26T23:52:39.000Z (over 1 year ago)
- Last Synced: 2025-03-11T04:51:56.226Z (about 1 year ago)
- Language: JavaScript
- Homepage:
- Size: 17.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Important Links
Huggingface: [Huggingface](https://huggingface.co)
Installation Node: [Node](https://nodejs.org/en)
Installation Ollama: [Ollama](https://ollama.com/)
## Finding LLms
ChatBot Arena: [ChatBot Arena](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard)
Opensource LLM: [OpenSource LLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
LLAMA: [LLAMA](https://www.llama.com/)
Token: [Token](https://platform.openai.com/tokenizer)
What are tokens: [Tokens](https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them)
## RAG
Amazon: [Amazon](https://aws.amazon.com/de/what-is/retrieval-augmented-generation/)
Nvidia: [Nvidia](https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/)
Databricks: [Databricks](https://www.databricks.com/glossary/retrieval-augmented-generation-rag)
PDFs for RAG: [llama parse](https://github.com/run-llama/llama_parse)
Websites for RAG: [Firecrawl🔥](https://www.firecrawl.dev/)
## AI-Agents
Alloy: [Alloy](https://github.com/svpino/alloy-voice-assistant)
Flowise: [Customized LLM orchestration flow](https://flowiseai.com/)
## Hosting & Automation
Render: [Render](https://render.com/)
Make: [Make](https://www.make.com)