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TagsWhy Small Language Models (SLMs) Are Poised to Redefine Agentic AI: Efficiency

Tag: Why Small Language Models (SLMs) Are Poised to Redefine Agentic AI: Efficiency

AI

Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ‘ShockCast’ for High-Speed Flow Simulation with Neural Temporal Re-Meshing

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AI

Mistral AI Releases Mistral Small 3.2: Enhanced Instruction Following, Reduced Repetition, and Stronger Function Calling for AI Integration

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AI

PoE-World + Planner Outperforms Reinforcement Learning RL Baselines in Montezuma’s Revenge with Minimal Demonstration Data

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AI

Build an Intelligent Multi-Tool AI Agent Interface Using Streamlit for Seamless Real-Time Interaction

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AI

UC Berkeley Introduces CyberGym: A Real-World Cybersecurity Evaluation Framework to Evaluate AI Agents on Large-Scale Vulnerabilities Across Massive Codebases

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AI

This AI Paper from Google Introduces a Causal Framework to Interpret Subgroup Fairness in Machine Learning Evaluations More Reliably

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AI

From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction

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AI

MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks

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AI

OpenAI Releases an Open‑Sourced Version of a Customer Service Agent Demo with the Agents SDK

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AI

ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLMs) that Achieves Long, Accurate and Thoughtful Reasoning

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