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Category: agentic AI

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A Coding Implementation to Build a Self-Adaptive Goal-Oriented AI Agent Using Google Gemini and the SAGE Framework
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A Coding Implementation to Build a Self-Adaptive Goal-Oriented AI Agent Using Google Gemini and the SAGE Framework

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In this tutorial, we dive into building an advanced AI agent system based on the SAGE framework, Self-Adaptive Goal-oriented Execution, […]

OpenAI Just Released the Hottest Open-Weight LLMs: gpt-oss-120B (Runs on a High-End Laptop) and gpt-oss-20B (Runs on a Phone)
  • agentic AI
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OpenAI Just Released the Hottest Open-Weight LLMs: gpt-oss-120B (Runs on a High-End Laptop) and gpt-oss-20B (Runs on a Phone)

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OpenAI has just sent seismic waves through the AI world: for the first time since GPT-2 hit the scene in […]

Building a Multi-Agent Conversational AI Framework with Microsoft AutoGen and Gemini API
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Building a Multi-Agent Conversational AI Framework with Microsoft AutoGen and Gemini API

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In this tutorial, we explore how to integrate Microsoft AutoGen with Google’s free Gemini API using LiteLLM, enabling us to […]

7 Essential Layers for Building Real-World AI Agents in 2025: A Comprehensive Framework
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7 Essential Layers for Building Real-World AI Agents in 2025: A Comprehensive Framework

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Building an intelligent agent goes far beyond clever prompt engineering for language models. To create real-world, autonomous AI systems that […]

Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks
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Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks

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MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to […]

A Coding Guide to Build Intelligent Multi-Agent Systems with the PEER Pattern
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A Coding Guide to Build Intelligent Multi-Agent Systems with the PEER Pattern

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In this tutorial, we explore a powerful multi-agent system built around the PEER pattern: Plan, Execute, Express, and Review. We […]

Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents
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Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents

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Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to recent progress in LLMs. However, […]

A Coding Guide to Build an Intelligent Conversational AI Agent with Agent Memory Using Cognee and Free Hugging Face Models
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A Coding Guide to Build an Intelligent Conversational AI Agent with Agent Memory Using Cognee and Free Hugging Face Models

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In this tutorial, we delve into building an advanced AI agent with agent memory using Cognee and Hugging Face models, […]

AgentSociety: An Open Source AI Framework for Simulating Large-Scale Societal Interactions with LLM Agents
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AgentSociety: An Open Source AI Framework for Simulating Large-Scale Societal Interactions with LLM Agents

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AgentSociety is a cutting-edge, open-source framework designed to simulate large populations of agents, each powered by Large Language Models (LLMs), […]

LangGraph Tutorial: A Step-by-Step Guide to Creating a Text Analysis Pipeline
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LangGraph Tutorial: A Step-by-Step Guide to Creating a Text Analysis Pipeline

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Estimated reading time: 5 minutes Table of contents Introduction to LangGraph Key Features: Setting Up Our Environment Installation Understanding the […]

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