DeepSpeed-FastGen
Super JSON Mode is a Python framework that enables the efficient creation of structured output from an LLM by breaking up a target schema into atomic components and then performing generations in parallel.
It supports both state of the art LLMs via OpenAI 's legacy completions API and open source LLMs such as via Hugging Face Transformers and vLLM .... See more
It supports both state of the art LLMs via OpenAI 's legacy completions API and open source LLMs such as via Hugging Face Transformers and vLLM .... See more
varunshenoy • GitHub - varunshenoy/super-json-mode: Low latency JSON generation using LLMs ⚡️
Overview
tensorzero.com比投机采样还快2～4倍！
prompt-lookup-decoding是一种全新的大模型生成加速方式，适用于汇总、内容问答、多轮对话等场景，利用了这些场景的生成内容大部分来自输入，所以将投机采样中的小模型直接替换为了内容查找函数，这样极大的加速了生成速度。
https://t.co/7cgHIkeJyT https://t.co/XIuE8Sw5h6
nash_su - e/accx.com
People ask me about foundational models for RAG with larger context windows, like GPT-4/Gemini Flash, and how they relate to ColPali.
In this case, a 62-page PDF occupies 34,567 tokens so that we can fit about 30 of those into the LLM context window.
I'll argue that there are use cases... See more
