LLM RAG Chatbot Training Dataset
Designed to support next-gen AI agent builders.
What it does
Train your conversational AI to detect time-wasters & fraudsters before they burn tokens. This human-verified micro dataset helps AI models identify disengagement, escalation, and Soft Exit / Hard Block scenarios. Ideal for companion AI & chatbot fine-tuning.
Does a similar job
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- HWHow we leapfrogged traditional vector based RAG with a 'language map'2024 · twitter.com · ▲162
TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to…
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Source: Product Hunt launch ↗
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