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Category: Large Language Model

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Baidu Releases ERNIE-4.5-21B-A3B-Thinking: A Compact MoE Model for Deep Reasoning
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Baidu Releases ERNIE-4.5-21B-A3B-Thinking: A Compact MoE Model for Deep Reasoning

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Baidu AI Research team has just released ERNIE-4.5-21B-A3B-Thinking, a new reasoning-focused large language model designed around efficiency, long-context reasoning, and […]

Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain
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Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain

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In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean […]

MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models
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MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models

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A team of researchers from MBZUAI’s Institute of Foundation Models and G42 released K2 Think, is a 32B-parameter open reasoning […]

Meta Superintelligence Labs Introduces REFRAG: Scaling RAG with 16× Longer Contexts and 31× Faster Decoding
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Meta Superintelligence Labs Introduces REFRAG: Scaling RAG with 16× Longer Contexts and 31× Faster Decoding

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Table of contents Why is long context such a bottleneck for LLMs? How does REFRAG compress and shorten context? How […]

Tilde AI Releases TildeOpen LLM: An Open-Source Large Language Model with Over 30 Billion Parameters and Support Most European Languages
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Tilde AI Releases TildeOpen LLM: An Open-Source Large Language Model with Over 30 Billion Parameters and Support Most European Languages

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Latvian language-tech firm Tilde has released TildeOpen LLM, an open-source foundational large language model (LLM) purpose-built for European languages, with […]

From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
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From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

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Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and […]

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New fully open and transparent large language model launches — it’s Swiss, of course

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The Swiss have something of a reputation for being methodical — particularly when it comes to things like banking — […]

Memory-R1: How Reinforcement Learning Supercharges LLM Memory Agents
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Memory-R1: How Reinforcement Learning Supercharges LLM Memory Agents

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Large language models (LLMs) now stand at the center of countless AI breakthroughs—chatbots, coding assistants, question answering, creative writing, and […]

Microsoft Released VibeVoice-1.5B: An Open-Source Text-to-Speech Model that can Synthesize up to 90 Minutes of Speech with Four Distinct Speakers
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Microsoft Released VibeVoice-1.5B: An Open-Source Text-to-Speech Model that can Synthesize up to 90 Minutes of Speech with Four Distinct Speakers

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Table of contents Key Features Architecture and Technical Deep Dive Model Limitations and Responsible Use Conclusion FAQs Microsoft’s latest open […]

Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide
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Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide

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Table of contents 1. Regulatory and Risk Posture 2. Capability vs. Cost, Latency, and Footprint 3. Security and Compliance Trade-offs […]

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