OpenAI has published a detailed and technically grounded guide, A Practical Guide to Building Agents, tailored for engineering and product […]
Category: agentic AI
Researchers from AWS and Intuit Propose a Zero Trust Security Framework to Protect the Model Context Protocol (MCP) from Tool Poisoning and Unauthorized Access
AI systems are becoming increasingly dependent on real-time interactions with external data sources and operational tools. These systems are now […]
How agentic AI takes GenAI to the next level [Q&A]
Agentic AI has been in the news quite a bit of late, but how should enterprises expect it to impact […]
Code Implementation to Building a Model Context Protocol (MCP) Server and Connecting It with Claude Desktop
In this hands-on tutorial, we’ll build an MCP (Model Context Protocol) server that allows Claude Desktop to fetch stock news […]
Allen Institute for AI (Ai2) Launches OLMoTrace: Real-Time Tracing of LLM Outputs Back to Training Data
Understanding the Limits of Language Model Transparency As large language models (LLMs) become central to a growing number of applications—ranging […]
Can LLMs Debug Like Humans? Microsoft Introduces Debug-Gym for AI Coding Agents
The Debugging Problem in AI Coding Tools Despite significant progress in code generation and completion, AI coding tools continue to […]
Boson AI Introduces Higgs Audio Understanding and Higgs Audio Generation: An Advanced AI Solution with Real-Time Audio Reasoning and Expressive Speech Synthesis for Enterprise Applications
In today’s enterprise landscape—especially in insurance and customer support —voice and audio data are more than just recordings; they’re valuable […]
OpenAI Open Sources BrowseComp: A New Benchmark for Measuring the Ability for AI Agents to Browse the Web
Despite advances in large language models (LLMs), AI agents still face notable limitations when navigating the open web to retrieve […]
Google Introduces Agent2Agent (A2A): A New Open Protocol that Allows AI Agents Securely Collaborate Across Ecosystems Regardless of Framework or Vendor
Google AI recently announced Agent2Agent (A2A), an open protocol designed to facilitate secure, interoperable communication among AI agents built on […]
Google Releases Agent Development Kit (ADK): An Open-Source AI Framework Integrated with Gemini to Build, Manage, Evaluate and Deploy Multi Agents
Google has released the Agent Development Kit (ADK), an open-source framework aimed at making it easier for developers to build, […]
