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Transform LLMs into real-world operations

1 点作者 bartuu大约 1 年前

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bartuu大约 1 年前
Hi, i am Onur Ulusoy, a Python enthusiast whose experience spans over 5 years with a special focus on Python Serialization over the past 2 years.<p>In start we just working on fastest Deployment system in python (&lt;1) but after a pivot in Upsonic is our attempt to the function hub for data teams and machine learning groups by leveraging auto-documentation and auto-dependency. We have designed it to incorporate embedded profiling and offer seamless on-premises installation using Docker.<p>In the course of its development, we recognized an opportunity to extend the functionalities of our function hub to an LLM agent tool hub. We engineered a custom interface release under the name, &quot;Tiger: Neuralink for your AI agents.&quot; This interface, licensed under MIT and community focused.<p>Its transform the thinking of LLM to real world operations. Just like sending a messsage in WhatsApp or reading emails or writing and running python codes and reading documentation of langchain library. For now we have supports for crewAI, LangChain and AutoGen.