Large Language Models for U.S. National Security | Scale AI
scale.com · 556 words · saved by 1 readers
Reinforcement learning with human feedback (RLHF) is the key to enhancing synchronization and optimization across all vectors of government with LLMs.
Deploy specialized AI Agents for mission-critical workflows. Product Overview Customize, Evaluate, and Deploy AI Agents Deploy mission-tailored AI agents from concept to combat in record time with Donovan. Put advanced AI capabilities in the hands of warfighters when and where they need it most. J1 Agent/Agent Factory DraftDeploy AssistantToolsSettings System Prompt You are a military intelligence analyst. Analyze documents accurately and always cite sources. Knowledge Base GDELT Event Data DoD Policy Documents Theatre Operations DB Llama 3.3 70B Instruct Active Pipeline GDELT…
saved by
related reading
- Introducing System One Models & Jev - TypeSafe AI Blogtypesafe.ai
- LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
- Building Effective AI Agents \ Anthropicanthropic.com
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- GitHub - emcie-co/parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.github.com
- Off Target | CNAScnas.org
- LangChain: the open agent platform to own your intelligencelangchain.com
- Advanced AI Workflow Automation Software & Tools - n8nn8n.io
- AINews | AINewsnews.smol.ai
- Remember, Refine, Retrieve: A Context Engine for Enterprise Agents | Applied Computeappliedcompute.com
- goose | Your open source AI agentblock.github.io
- Agent Evaluation: A Detailed Guidecameronrwolfe.substack.com