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Top 3 Jupyter Notebook llm-inference Projects
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autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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fastassert
Dockerized LLM inference server with constrained output (JSON mode), built on top of vLLM and outlines. Faster, cheaper and without rate limits. Compare the quality and latency to your current LLM API provider.
AutoGen is an AI framework by Microsoft designed to streamline multi-agent conversations. AutoGen allows agents to communicate, share information, and make collective decisions. This setup enhances the responsiveness and dynamism of conversations. Developers use AutoGen to tailor agents to specific roles, such as programmer, content writer, CEO, etc. This enhances their ability to handle tasks from simple queries to intricate problem-solving.
A French startup, Mistral AI has released two impressive large language models (LLMs) - Mistral 7B and Mixtral 8x7B. These models push the boundaries of performance and introduce a better architectural innovation aimed at optimizing inference speed and computational efficiency.
Jupyter Notebook llm-inference related posts
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Mistral 7B vs. Mixtral 8x7B
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How to have your own ChatGPT on your machine (and make him discussed with himself)
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How to Serve LLM Completions in Production
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Stuff we figured out about AI in 2023
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Mistral AI – open-source models
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A note from our sponsor - InfluxDB
www.influxdata.com | 9 May 2024
Index
What are some of the best open-source llm-inference projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | autogen | 25,506 |
2 | mistral-src | 8,732 |
3 | fastassert | 25 |
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