Inside Legion

Legion Multiplayer is a shared work surface where people and AI agents do the work together. Every change an agent makes is attributed, approval-gated steps wait for a person, and Multiplayer deploys wherever Legion deploys: cloud, classified, and disconnected environments.

Legion (formerly Yurts) delivers secure, orchestrated AI built for mission-critical workflows. Explore how we're empowering teams with intelligent, human-centered solutions for demanding environments.

Legion integrates NVIDIA NIM microservices into its GenAI platform, expanding enterprise-ready LLMs, ensuring secure and flexible deployments. This enhances GPU-accelerated model variety, aiding secure, scalable AI solutions for enterprises.

Discover how Legion's RAG system matches Anthropic’s Contextual Retrieval performance on the Codebases dataset at just 1/300th of the cost. Explore our evaluation to see why Legion RAG is the smart, cost-effective choice for high-performance AI solutions.

Comparing RAG systems and LCW models on Needle in a Haystack benchmarks, showing RAG's superior performance and scalability, highlighting the need for better benchmarks for LCW models.

Next-gen AI without breaking the bank! AWQ, a quantization method, boosts deploying LLMs' cost-effectiveness by cutting GPU needs, enabling wider access to advanced AI technology at lower costs.

Discover why Legion is essential for businesses adopting generative AI, offering unmatched security, smooth integrations, and powerful analytics.

Learn to fine-tune LLMs with FIP & LoRA methods to beat "Catastrophic Forgetting" for robust AI applications across industries.

TL;DR: We benchmarked various open-source LLMs, including Llama-v2-7b-chat, finding they hallucinate around 55% of the time in context-aware Q&A tasks without tuning.