AI LLM & RAG Workflow Developer (Data Labeling for Question Answering)
OtherTextQuestion Answering
Worked on building Retrieval-Augmented Generation (RAG) systems leveraging LLMs to provide accurate question answering from uploaded documents. Developed AI chatbots and pipelines capable of extracting relevant information from various text documents and generating suitable responses. Integrated local language models and document loaders for enhanced private AI workflows.
• Created question answering systems using LangChain and local LLMs
• Developed pipelines to process and retrieve information from custom text documents
• Implemented document embeddings and vector databases for semantic retrieval
• Built AI chatbots for answering questions based on uploaded document content
Worked on building Retrieval-Augmented Generation (RAG) systems leveraging LLMs to provide accurate question answering from uploaded documents. Developed AI chatbots and pipelines capable of extracting relevant information from various text documents and generating suitable responses. Integrated local language models and document loaders for enhanced private AI workflows. • Created question answering systems using LangChain and local LLMs • Developed pipelines to process and retrieve information from custom text documents • Implemented document embeddings and vector databases for semantic retrieval • Built AI chatbots for answering questions based on uploaded document content
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