LLM Inference Handbook
10 months ago
- #Production
- #Inference
- #LLM
- LLM Inference in Production serves as a technical glossary, guidebook, and reference.
- Covers core concepts, performance metrics, optimization techniques, and operation best practices.
- Provides practical guidance for deploying, scaling, and operating LLMs in production.
- Focuses on essential aspects, avoiding edge cases and technical noise.
- Includes optimization techniques to boost performance based on use cases.
- Continuously updated with latest best practices and field-tested insights.
- Aims to consolidate fragmented knowledge on LLM inference from various sources.
- Target audience includes engineers deploying, scaling, or operating LLMs in production.
- Can be read start-to-finish or used as a lookup table.
- Open for contributions via GitHub issues or pull requests.