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Add Markstream to LLM libraries #69

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- [gorilla](https://github.com/ShishirPatil/gorilla) Enables LLMs to use tools by semantically and syntactically correctly invoking APIs. Reduces hallucination, custom trained model [weights](https://huggingface.co/TheBloke/gorilla-7B-fp16) based on llama-7b
- [agency](https://github.com/operand/agency) A fast and minimal actor model framework allows humans, AIs, and other computing systems to communicate with each other through shared environments called "spaces".
- [Vercel AI SDK](https://github.com/vercel-labs/ai) a library for building edge-ready AI-powered streaming text and chat UIs in React, Svelte and Vue supporting LangChain, OpenAI, Anthropic and HF
- [Markstream](https://github.com/Simon-He95/markstream-vue) streaming Markdown renderers for AI chat interfaces, with packages for Vue, React, Svelte, Angular and Vue 2 plus Mermaid, KaTeX, Shiki, Monaco and safe HTML
- [tinygrad](https://github.com/geohot/tinygrad) Geohot's implementation for a PyTorch killer with the target to be 2x faster
- [Xorbits Inference (Xinference)](https://github.com/xorbitsai/inference) versatile library designed to deploy and serve language, speech recognition, and multimodal models
- [data-juicer](https://github.com/alibaba/data-juicer) zero code, low code and off the shelf data processing for LLMs
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