Beyond IT: Unleashing AI with Model Context Protocol
The Model Context Protocol empowers AI by connecting LLMs with existing tools. Success requires employee-led innovation, not just IT implementation, for competitive advantage.
The Model Context Protocol empowers AI by connecting LLMs with existing tools. Success requires employee-led innovation, not just IT implementation, for competitive advantage.
AI model achieves over 90% accuracy in thyroid cancer diagnosis, staging, and risk classification, reducing clinician preparation time by 50%.
A study reveals LLMs can simulate emotional expressions using structured emotional inputs. This advancement marks a leap in emotionally intelligent AI agents, potentially revolutionizing human-AI interaction in sensitive domains.
BMW partners with DeepSeek to enhance its Intelligent Personal Assistant in China, leveraging local AI expertise for a more personalized and intuitive in-car experience.
Microsoft's BitNet b1.58 2B4T, a 1-bit LLM, achieves efficient GenAI on CPUs. It offers comparable performance to full-precision models with reduced memory and energy consumption.
RAGEN, a novel system from Northwestern, Microsoft, Stanford, and UW, aims to train and evaluate AI agents, making them more dependable and resilient for practical, enterprise-level usage.
Veeam integrates the Model Context Protocol (MCP), enabling AI systems to securely access and utilize backup data for enhanced insights, automation, and decision-making. This unlocks new value from previously dormant information assets.
Versa's MCP Server empowers Agentic AI for enhanced network visibility, incident resolution, and operational efficiency by integrating with the VersaONE SASE Platform.
Explore how AI Agents, powered by LLMs, revolutionize data analysis. Automate tasks, query data with no-code, and master dataframe & time series processing.
Atla MCP Server streamlines LLM evaluation with its LLM Judge models and Model Context Protocol (MCP), enabling consistent, objective assessments integrated into existing tools and agent workflows.