Software maintenance is an integral part of the software development lifecycle, where developers frequently revisit existing codebases to fix bugs, […]
Category: AI Agents
A Coding Implementation to Build a Document Search Agent (DocSearchAgent) with Hugging Face, ChromaDB, and Langchain
In today’s information-rich world, finding relevant documents quickly is crucial. Traditional keyword-based search systems often fall short when dealing with […]
Meet PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable capabilities across various domains, propelling their evolution into multi-modal agents for human […]
Simular Releases Agent S2: An Open, Modular, and Scalable AI Framework for Computer Use Agents
In today’s digital landscape, interacting with a wide variety of software and operating systems can often be a tedious and […]
OpenAI pushes AI agent capabilities with new developer API
Developers using the Responses API can access the same models that power ChatGPT Search: GPT-4o search and GPT-4o mini search. […]
Meet Manus: A New AI Agent from China with Deep Research + Operator + Computer Use + Lovable + Memory
In today’s digital era, the way we work is rapidly evolving, yet many challenges persist. Conventional AI assistants and manual […]
CMU Researchers Introduce PAPRIKA: A Fine-Tuning Approach that Enables Language Models to Develop General Decision-Making Capabilities Not Confined to Particular Environment
In today’s rapidly evolving AI landscape, one persistent challenge is equipping language models with robust decision-making abilities that extend beyond […]
Step by Step Guide to Build an AI Research Assistant with Hugging Face SmolAgents: Automating Web Search and Article Summarization Using LLM-Powered Autonomous Agents
Hugging Face’s SmolAgents framework provides a lightweight and efficient way to build AI agents that leverage tools like web search […]
Agentic AI vs. AI Agents: A Technical Deep Dive
Artificial intelligence has evolved from simple rule-based systems into sophisticated, autonomous entities that perform complex tasks. Two terms that often […]
Researchers from UCLA, UC Merced and Adobe propose METAL: A Multi-Agent Framework that Divides the Task of Chart Generation into the Iterative Collaboration among Specialized Agents
Creating charts that accurately reflect complex data remains a nuanced challenge in today’s data visualization landscape. Often, the task involves […]