Articles for tag: agent technology, AI Workflows, autonomous decision-making, external tools integration, LangGraph, large language models, memory systems

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Unlocking AI Potential: A Beginner’s Guide to Creating an Agent-Based System with LangGraph

An agent is an advanced system powered by a Large Language Model (LLM) that can autonomously choose its actions and workflows. Unlike traditional chatbots, agents can decide based on context, utilize external tools like web searches, and adapt their approach for improved problem-solving. Key components of agents include memory, which allows them to retain context, ...

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Jack Dorsey Launches Goose: A Simple Open Source AI Agent Building Platform from Block

Jack Dorsey, co-founder of Twitter, has launched a new open-source project called Goose through his company Block. Goose is a framework designed to simplify building AI agents that can integrate with various large language models. This tool primarily aims to assist software developers by automating tasks, such as code migrations and performance benchmarks, while enabling ...

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Understanding Muscle Memory in LLMs and AI Agents: Insights from Steve Jones, January 2025

This article explores the connection between muscle memory in physical skills, like snowboarding, and the performance of large language models (LLMs). Just as snowboarders gradually learn to react instinctively through practice, LLMs can improve efficiency, but still require significant processing time. The author draws parallels between developing muscle memory in sports and the need for ...

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GPTBots.ai Enhances Capabilities with DeepSeek R1 LLM Integration for Advanced AI Solutions and Improved User Experience

GPTBots.ai has announced the integration of the DeepSeek R1 large language model, enhancing its already impressive suite of AI tools. Known for its strong performance in complex reasoning, DeepSeek R1 offers businesses a cost-effective and efficient option for improving operations. As an open-source model, it provides flexibility and encourages collaboration within the AI community. GPTBots.ai ...

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Revolutionize Your Business: Google’s Chain-of-Agents AI Framework Enhances Multi-Agent Collaboration While Reducing Costs

Researchers at Google have unveiled a new framework called Chain-of-Agents (CoA) to enhance large language models (LLMs) in handling long-context tasks. CoA improves efficiency and accuracy by dividing lengthy inputs into smaller chunks, which specialized agents process sequentially. This method avoids the limitations of traditional models that often truncate information or miss essential details. CoA’s ...

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Build AI Agents Easily: No Coding Required with Chat LLM Techniques for Beginners and Experts Alike

ChatLLM by Abacus AI is a user-friendly platform that allows anyone to create and deploy AI agents without any programming knowledge. Using advanced large language models, users can automate tasks like managing emails and summarizing news. The platform features ready-to-use templates and a visual workflow editor, making it easy to customize workflows according to individual ...

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Build Multi-Agent AI Systems Fast: Learn in Just One Weekend!

In just a weekend, you can dive into three exciting starter projects focused on building AI-powered applications. Authored by Thuwarakesh Murallie, this guide is perfect for developers and tech enthusiasts eager to explore the world of AI without a steep learning curve. The projects start with the basics of large language models (LLMs) and gradually ...

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Galileo Launches Agentic Evaluations to Help Developers Create Trustworthy AI Agents Efficiently and Effectively

Galileo has launched Agentic Evaluations, a groundbreaking solution designed for developers to assess the performance of AI agents powered by large language models. This tool provides the necessary insights to enhance agent reliability and readiness for real-world applications. With the rise of AI agents automating complex tasks, there are new challenges developers face, such as ...

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Galileo Launches Agentic Evaluations to Enable Developers in Creating Trustworthy AI Agents for Enhanced Performance and Reliability

Galileo has introduced Agentic Evaluations, a groundbreaking solution that allows developers to effectively assess the performance of AI agents powered by large language models (LLMs). This platform equips developers with essential tools and insights to enhance agent performance and ensure they are ready for real-world use. With the rise of AI agents transforming industries like ...

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Galileo Launches Agentic Evaluations to Empower Developers in Creating Reliable AI Agents for Enhanced Performance and Trustworthiness

Galileo, a leader in AI evaluation, has launched Agentic Evaluations, a new solution designed to help developers assess and optimize the performance of AI agents that use large language models (LLMs). This comprehensive tool provides insights across every step of an agent’s workflow, ensuring they are ready for real-world use. With features like complete visibility ...

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