Google AI recently announced Agent2Agent (A2A), an open protocol designed to facilitate secure, interoperable communication among AI agents built on […]
Category: agentic AI
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, […]
Why 2025 is the year AI will revolutionize construction
Generative AI is the tech buzzword of the decade — and the money has followed obediently. In 2025, American Big Tech […]
The shift from on-call engineers to agentic incident management
Every engineering team I’ve been a part of has had a 10x engineer. They were active contributors to design reviews […]
NVIDIA AI Released AgentIQ: An Open-Source Library for Efficiently Connecting and Optimizing Teams of AI Agents
Enterprises increasingly adopt agentic frameworks to build intelligent systems capable of performing complex tasks by chaining tools, models, and memory […]
Meet GenSpark Super Agent: The All-in-One AI Agent that Autonomously Think, Plan, Act, and Use Tools to Handle All Your Everyday Tasks
GenSpark Super Agent (often just called GenSpark) is a new general-purpose AI agent designed to autonomously handle complex tasks across […]
Augment Code Released Augment SWE-bench Verified Agent: An Open-Source Agent Combining Claude Sonnet 3.7 and OpenAI O1 to Excel in Complex Software Engineering Tasks
AI agents are increasingly vital in helping engineers efficiently handle complex coding tasks. However, one significant challenge has been accurately […]
Introduction to MCP: The Ultimate Guide to Model Context Protocol for AI Assistants
The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified way to connect AI […]
Open AI Releases PaperBench: A Challenging Benchmark for Assessing AI Agents’ Abilities to Replicate Cutting-Edge Machine Learning Research
The rapid progress in artificial intelligence (AI) and machine learning (ML) research underscores the importance of accurately evaluating AI agents’ […]
A Code Implementation of Using Atla’s Evaluation Platform and Selene Model via Python SDK to Score Legal Domain LLM Outputs for GDPR Compliance
In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool […]