Search and filter through extracted claims from AI researchers.
Showing 1-20 of 350 claims in topic "agents" of type "fact"
The book 'AI Agents in Action' has been updated with a second edition.
"New! Updated! 2nd Edition!"
"Main Topics: • How autonomous systems differ from automation • Reasoning loops and core components • Designing system prompts and tools • Building single- and multi-agent systems in Python"
"Agentic AI Engineering for Systems that Reason and Act Autonomously – Design, Build, and Prompt LLM-Based Agents for Real-World Deployment"
"Build and Automate Smarter Penetration Testing Workflows using AI-driven Agents"
Context Engines can be deployed as scalable, observable systems in production environments
"Deploy a scalable, observable Context Engine in production"
"Implement high-fidelity RAG pipelines with verifiable citations"
Multi-agent orchestration can be driven using semantic blueprints and MCP (Model Context Protocol)
"Craft semantic blueprints and drive multi-agent orchestration with MCP"
"Develop memory models to retain short-term and cross-session context"
"Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall"
"The agent published the files directly from the local project folder to here.now. It creates a site, uploads the local files and then makes that version live."
"My domain is managed through Vercel, so I told the agent to use Chrome, add the domain in here.now and update the DNS records in Vercel."
"But you just give your agent the instructions, it installs a skill then publishes any sites for you."
"production pipelines that route taste, execution, security, and hardware coordination across different systems"
The meaningful unit of AI work is becoming a division of labor between models
"The central thread is that the meaningful unit of AI work is becoming a division of labor between models"
Errors accumulate without effective correction in MLLM agents during extended urban exploration
"errors accumulate without effective correction"
"Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities"
Persistent knowledge accumulation in the wiki is critical for effective skill evolution
"persistent knowledge accumulation in the wiki is critical for effective skill evolution"
"evolved skills transfer effectively across models and model families, and skills evolved by other models can outperform self-evolved skills"
"larger models generally benefit more from evolved skills, while smaller models with skills can outperform substantially larger models without them"
"Across diverse benchmarks and models, WikiSkill consistently outperforms state-of-the-art skill-evolution methods"
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Last synthesis: 2026-09-20. 8,949 pending.