Large Language Models
LLM-specific news — GPT, Claude, Gemini, Llama releases and updates
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Why Quantization Makes Giant Language Models Fit at Home
The model fits nowhere. A team can fine-tune a model for three weeks, get the evaluation numbers it wanted, and…
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The Memory Math Behind Smaller Local Language Models
Big models hit the wall at deployment. A team can fine-tune a model for three weeks, get the evaluation numbers…
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A Single GPU Can Now Run a 753B Language Model
Researchers from UC Berkeley and UT Austin have developed FreeToken, an edge-native MoE serving engine built to run large language…
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FreeToken Brings Massive AI Models to a Single GPU
Running a 753B-parameter language model on one workstation GPU sounds like a job for a data center. FreeToken, an Edge-Native…
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How FreeToken Brings Giant AI Models to Personal GPUs
Running a huge language model usually means sending requests to a remote data center. FreeToken takes a different path: the…
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Why AI Models Are Starting to Sound More Alike
AI models from rival companies are beginning to produce more similar answers, even when asked to handle open-ended creative tasks.…
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Transformer Efficiency Is a Geometry Problem Before It Is a Hardware Problem
The bottleneck is not always the model. In transformer systems, tiny implementation choices can decide whether aggressive compression preserves useful…
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The State of LLM Observability and Model Performance in 2026
The market for large language model observability platforms hit $2.69 billion in 2026. Analysts expect it to nearly quadruple to…
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Tencent’s Hy3 LLM Goes Global with Free Access Until 2026
Tencent officially launched its Hy3 large language model on July 6, 2026. The company wasted no time. On August 5,…
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Alibaba’s Qwen3.8-Max Raises the Bar with 2.4 Trillion Parameters
Alibaba has launched Qwen3.8-Max, a massive new AI model with 2.4 trillion parameters. This makes it one of the largest…
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