Introducing FastLLM: Qdrant’s Revolutionary LLM

FastLLM is Qdrant's newly announced lightweight Language Model designed specifically for Retrieval Augmented Generation (RAG) applications, now available in Early Access. It boasts an impressive context window of 1 billion tokens and an optimized architecture, making it ideal for processing large amounts of data when integrated with Qdrant's scalable features. Developed with the aim of surpassing existing models, FastLLM was trained using 300,000 NVIDIA H100s, resulting in a model with 1 trillion parameters. It achieves 100% accuracy in benchmark tests like the Needle In A Haystack (NIAH) test. While Qdrant's team acknowledges that FastLLM's specific problem-solving capabilities are still being explored, they encourage participation in the Early Access program to harness its potential in AI-driven content generation.