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7 minute read
Aerospace

AI in Aerospace: Putting Agents to Work on Maintenance, Parts, and Supply

Chat assistants made aerospace manuals searchable. Governed agents go further, carrying out the maintenance work across parts, work orders, and systems teams already run, under human command and with a record of every action, on-prem or air-gapped.
7 minute read
Defense

From Chaos to Control: Why Orchestration Is the Real Future of AI in C2

Most AI fails in C2 because systems don't communicate. Learn why orchestration—connecting AI across every platform—is the architectural breakthrough defense organizations need.
2 minute read
In the Field
Defense

Legion Elevates Civil Affairs Training at DOD Special Operations Unit

Legion’s AI orchestration helped a DOD Special Operations unit cut scenario error checks from 16 hours to under 10 minutes, boosting realism and instructor impact in Civil Affairs training.
4 minute read
Industry Signals
Federal
Partnerships

Optimizing Government Workflows: How AI is Making a Real Difference

Redhorse partners with Legion to streamline government workflows, automating tasks and boosting data security. This enhances productivity by addressing data sensitivity, tool adoption, prescriptive maintenance, efficient document searches, and federal contract responses.
2 minute read
Inside Legion
Announcements
Security

Enhancing AI Flexibility: Legion Integrates NVIDIA NIM Microservices for Secure, Scalable Solution

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.
3 minute read
Industry Signals
Announcements
Federal
Enterprise AI

Fueling the Future of Mission-Critical AI: Announcing Legion's $40M Series B

Legion raises $40M Series B led by XYZ Ventures, Glynn Capital, and Nava Ventures. This funding boosts our mission-critical AI for defense and enterprise sectors, achieving reliable, impactful real-world deployments.
9 minute read
Inside Legion
RAG

Legion RAG: Performance That Doesn’t Break the Bank

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.
12 minute read
Inside Legion
RAG

RAG Systems vs. LCW: Performance and Cost Trade-offs

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.
4 minute read
Enterprise AI

From GPT to GDP: AI won’t change the world until we do the dirty, unsexy work

Over a year after ChatGPT's launch, AI excitement remains high, but integrating AI into core business systems is challenging. True transformation requires bridging cutting-edge tech with legacy infrastructures.
4 minute read
In the Field
Enterprise AI

What Both the AI Die-Hards and The True Believers Must Remember About the Early Internet

AI debate mirrors early internet era: high hopes clash with realities, echoing past tech cycles. True AI impact akin to slow web evolution, requiring substantial infrastructure and integration efforts.
10 minute read
Inside Legion
Enterprise AI

Enterprise Efficiency: The Performance vs. Cost Tradeoff in LLMs

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.
3 minute read
Inside Legion
Security
Enterprise AI

Unlocking the Power of Generative AI: Why Enterprises Need a Comprehensive Platform

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

Illusions Unraveled: The Magic and Madness of Hallucinations in LLMs

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.