Keymakr launches new LLM suite with agent training data solutions and tools to support the next generation of AI systems

A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...
InfoQ

MetaGPT Leverages Human Collaboration Techniques for Multi-Agent-Based Software Engineering

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...
Geeky Gadgets

Using LangGraph to create multi-agent LLM coding AI frameworks

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
ascopubs.org

A large language model (LLM)-based multi-agent framework for risk stratification and treatment recommendations in localized prostate cancer (locPCa).

Utility of the PROSTest, a novel blood-based molecular assay, versus PSA for prostate cancer stratification and detection of higher grade disease. Insight into the global mortality trends due to ...

Permiso Security Launches SandyClaw, the First Dynamic Sandbox for AI Agent Skills

Permiso Security, the unified identity security platform, today announced SandyClaw, the first dynamic analysis platform for ...

Traefik Labs Advances LLM and MCP Runtime Governance with Composable Safety Pipeline, Multi-Provider Resilience, and Token-Level Cost Controls

New capabilities extend Traefik Hub's Triple Gate architecture with guardrail integrations from NVIDIA, IBM, and Microsoft running in parallel, plus the ability for organizations to write their own ...