Top 3 Jupyter Notebook gpt-35-turbo 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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Smarty-GPT
A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
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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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TinyStories
code to train a gpt-2 model to train it on tiny stories dataset according to the TinyStories paper
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.
Project mention: [P] Code to config a model similar to TinyStories paper | /r/MachineLearning | 2023-05-19Take a look: https://github.com/sleepingcat4/TinyStories
Index
What are some of the best open-source gpt-35-turbo projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | autogen | 25,506 |
2 | Smarty-GPT | 142 |
3 | TinyStories | 27 |
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