GitHub - sgl-project/sglang: SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.
The core features of SGLang include:
- A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple ch
sgl-project • GitHub - sgl-project/sglang: SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.
Nicolay Gerold added
They have a fast jsond ecoding feature with a finite state machine.
GitHub - mit-han-lab/streaming-llm: Efficient Streaming Language Models with Attention Sinks
mit-han-labgithub.comDarren LI and added
GitHub - MadcowD/ell: A language model programming library.
github.comLMQL is a programming language for LLM interaction. | LMQL
Nicolay Gerold added
Unites Research and Production — AdalFlow: The Library to Build and Auto-Optimize LLM Task Pipelines
adalflow.sylph.aiPersonalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services
Nicolay Gerold added
LangChain excels at chaining LLMs together using agents to delegate actions to models. Its use cases emphasize prompt optimization and context-aware information retrieval/generation; however, with its Pythonic highly modular interface and its huge collection of tools, it is the number-one tool to implement complex business logic.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
LangChain simplifies the development of sophisticated LLM applications by providing reusable components and pre-assembled chains.