Anthropic has announced the release of its next-generation language models: Claude Opus 4 and Claude Sonnet 4. The update marks […]
Category: AI Agents
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- Meet GitHub Copilot: The Future of AI-Powered Coding
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Meet GitHub Copilot: The Future of AI-Powered Coding
In the fast-paced world of software development, efficiency and seamless collaboration are more important than ever. Developers are constantly seeking […]
Marktechpost Releases 2025 Agentic AI and AI Agents Report: A Technical Landscape of AI Agents and Agentic AI
Marktechpost AI Media has unveiled its most comprehensive publication—The Agentic AI and AI Agents Report for 2025—delivering a technically rigorous […]
Step-by-Step Guide to Create an AI agent with Google ADK
Agent Development Kit (ADK) is an open-source Python framework that helps developers build, manage, and deploy multi-agent systems. It’s designed […]
- AI Agents
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- OpenAI Launches Codex: A Powerful New AI Coding Tool
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OpenAI Launches Codex: A Powerful New AI Coding Tool
On Friday, OpenAI announced the launch of a research preview of Codex, its most advanced AI coding assistant feature in […]
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
Recent advancements in LM agents have shown promising potential for automating intricate real-world tasks. These agents typically operate by proposing […]
AWS Open-Sources Strands Agents SDK to Simplify AI Agent Development
Amazon Web Services (AWS) has open-sourced its Strands Agents SDK, aiming to make the development of AI agents more accessible […]
AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a Cloud-Based Coding Agent Inside ChatGPT
OpenAI has introduced Codex, a cloud-native software engineering agent integrated into ChatGPT, signaling a new era in AI-assisted software development. […]
Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph
LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on […]
Georgia Tech and Stanford Researchers Introduce MLE-Dojo: A Gym-Style Framework Designed for Training, Evaluating, and Benchmarking Autonomous Machine Learning Engineering (MLE) Agents
Machine learning engineering (MLE) involves developing, tuning, and deploying machine learning systems that require iterative experimentation, model optimization, and robust […]
