Agentic AI
195 articles in this category (Page 3 of 9)
Advanced Web Scraping with Crawl4AI: Markdown Generation, JS Execution, and Structured LLM Extraction
Learn to implement Crawl4AI v0.8.x for advanced web crawling, featuring JavaScript execution and LLM-based structured data extraction from unstructured HTML.
Building Multi-Agent Data Analysis Pipelines with Google ADK
Learn to build a modular multi-agent system using Google ADK to automate data ingestion, statistical modeling, and visualization in Python. This tutorial demonstrates orchestrating five specialized agents to perform Shapiro-Wilk tests and ANOVA, significantly reducing manual analysis time in production-grade pipelines.
MiniMax M2.7: Open-Source Self-Evolving Model Matches GPT-5.3-Codex on SWE-Pro
MiniMax open-sources M2.7, a self-evolving MoE model achieving 56.22% on SWE-Pro and 57.0% on Terminal Bench 2, matching GPT-5.3-Codex in production-level software engineering.
Meta Superintelligence Lab Unveils Muse Spark: Natively Multimodal Model with Thought Compression
Meta Superintelligence Lab releases Muse Spark, achieving a 72.2 score on ScreenSpot Pro through native multimodality and 10x compute efficiency over Llama 4 Maverick.
Google AI Research Introduces PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
Google AI Research debuts PaperOrchestra, a multi-agent system that transforms raw experimental logs into submission-ready LaTeX papers, achieving simulated acceptance rates of up to 84%.
Google DeepMind AlphaEvolve: LLM-Driven Evolutionary Search Outperforms Human-Designed Game Theory Algorithms
DeepMind's AlphaEvolve uses Gemini 2.5 Pro to evolve MARL source code, discovering algorithms that outperform expert-designed baselines in 10 of 11 test games.
Defeating the ‘Token Tax’: Google Gemma 4 and NVIDIA Revolutionize Local Agentic AI
NVIDIA RTX GPUs deliver up to 2.7x inference performance gains over M3 Ultra chips, enabling Google Gemma 4 models to run locally and eliminate astronomical cloud API Token Taxes.
Building Production-Ready Agentic Workflows with AgentScope and ReAct Agents
Learn to build production-ready AgentScope workflows using ReAct agents, custom toolkits, and Pydantic for structured outputs. This tutorial demonstrates how to orchestrate multi-agent debates and concurrent analysis pipelines using OpenAI models to achieve high-fidelity reasoning and automated tool execution for enterprise-grade AI applications.
Salesforce AI Research Releases VoiceAgentRAG: A Dual-Agent Memory Router that Cuts Voice RAG Retrieval Latency by 316x
Salesforce AI Research released VoiceAgentRAG, an open-source architecture that reduces retrieval latency by 316x using a dual-agent system to meet the 200ms voice response budget.