Fully Automated AI Agents for Data Science Team
Antoine Ross
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Posted Oct 30, 2023
Developed a custom AI chatbot that improved data science tasks efficiency by 50% through automated workflows and intelligent routing of inquiries.
Full-Scope Data Science App using Autogen (AutoGen, Chainlit, Python, LLM, NLP, LangChain)
Multi-Agent Pipeline:
Implemented an end-to-end, parallelized, data analysis pipeline, from web scraping to intricate data analysis, using AutoGen's multi-agent capabilities.
Employed advanced algorithms to derive actionable insights from the gathered data.
Multi-threading Deployment on the Web:
Deployed and served the application, enabling multi-modal chats, chain of thought visualization, data persistence with human feedback, and integrated authentication for user-centric interactions.
Integrated LangChain processing for real-time message processing.
Pinecone integration for Retrieval Augmented Generation.