Understanding the Universal Tool Calling Protocol (UTCP)
The Universal Tool Calling Protocol (UTCP) is a lightweight, secure, and scalable way for AI agents and applications to
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Annapoorna Infotech
Fueling Minds with AI Insights
Meta AI Proposes ‘Metacognitive Reuse’: Turning LLM Chains-of-Thought into a Procedural Handbook that Cuts Tokens by 46%
Meta researchers introduced a method that compresses repeated reasoning patterns into short, named procedures—“behaviors”—and then conditions models to use
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IBM and ETH Zürich Researchers Unveil Analog Foundation Models to Tackle Noise in In-Memory AI Hardware
IBM researchers, together with ETH Zürich, have unveiled a new class of Analog Foundation Models (AFMs) designed to bridge
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Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems
In this tutorial, we introduce a Jailbreak Defense that we built step-by-step to detect and safely handle policy-evasion prompts.
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Dynamic Storytelling in Healthcare: How AI Reshapes 3D Medical Animations
It’s fascinating to witness how AI is revolutionizing the world of medicine. From diagnosing diseases to assisting in complex
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LLM-as-a-Judge: Where Do Its Signals Break, When Do They Hold, and What Should “Evaluation” Mean?
What exactly is being measured when a judge LLM assigns a 1–5 (or pairwise) score? Most “correctness/faithfulness/completeness” rubrics are
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An Internet of AI Agents? Coral Protocol Introduces Coral v1: An MCP-Native Runtime and Registry for Cross-Framework AI Agents
Coral Protocol has released Coral v1 of its agent stack, aiming to standardize how developers discover, compose, and operate
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A Coding Guide to End-to-End Robotics Learning with LeRobot: Training, Evaluating, and Visualizing Behavior Cloning Policies on PushT
In this tutorial, we walk step by step through using Hugging Face’s LeRobot library to train and evaluate a
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xAI launches Grok-4-Fast: Unified Reasoning and Non-Reasoning Model with 2M-Token Context and Trained End-to-End with Tool-Use Reinforcement Learning (RL)
xAI introduced Grok-4-Fast, a cost-optimized successor to Grok-4 that merges “reasoning” and “non-reasoning” behaviors into a single set of
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Xiaomi Released MiMo-Audio, a 7B Speech Language Model Trained on 100M+ Hours with High-Fidelity Discrete Tokens
Xiaomi’s MiMo team released MiMo-Audio, a 7-billion-parameter audio-language model that runs a single next-token objective over interleaved text and
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