awesome-ai-engineering
github.com/dave-nachman/awesome-ai-engineering ↗A list of resources for AI engineers
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Installation instructions →What's inside
Learning
- 12-Factor Agents - Principles for building reliable LLM applicationsArticles
Principles for building reliable LLM applications
- A Field Guide to Rapidly Improving AI ProductsArticles
- AgentsArticles
- A Hacker's Guide to Language ModelsTalks
- AI EngineeringBooks
- AI Engineer Summit (2023)Conference videos
Tools
- AnthropicLLM APIs
- AxolotlFine-tuning
"Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures".
- EvaluateObservability / evals
"A library for easily evaluating machine learning models and datasets".
- fasthtmlApp building
"The fastest way to create an HTML app".
- Gemini (from Google)LLM APIs
- GemmaOpen models
Showing a sample of 82 resources. View the full list on GitHub →