Agents

OpenAI has unveiled a framework for constructing a 'multi-agent' system that automates complex tasks by linking multiple skilled artificial intelligence (AI) agents. Even though it was emphasized that it will not be an official...

Unpacking problem solving and tool-driven decision making in AI11 min read·13 hours agoFrom here we are able to move to Level 3 where we’re defining Agents that execute the tool-calls generated by the language...

with Ollama, LangChain, LangGraph (No GPU, No APIKEY)(All images are by the writer unless otherwise noted)IntroPrompt Engineering is the practice of designing and refining prompts (text inputs) to boost the behavior of Large Language...

Welcome, AI enthusiasts.Salesforce is launching two AI agents that help sales teams autonomously engage with leads and supply personalized coaching. With 24/7 support, automated repetitive tasks, and AI-powered insights, are we headed right into...

It's predicted that artificial intelligence (AI) agents that may handle complex tasks on their very own without human intervention will evolve right into a 'collaborative AI agent group' that communicates with one another and...

LLMs like GPT-3, GPT-4, and their open-source counterpart often struggle with up-to-date information retrieval and might sometimes generate hallucinations or misinformation.Retrieval-Augmented Generation (RAG) is a way that mixes the ability of LLMs with external...

The method begins with scaffolding the autonomous agents using Autogen, a tool that simplifies the creation and orchestration of those digital personas. We will install the autogen pypi package using pypip install pyautogenFormat the...

Explaining the behavior of trained neural networks stays a compelling puzzle, especially...