As demand for private AI infrastructure accelerates, LLM.co introduces a streamlined hub for discovering and deploying open-source language ...
San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...
As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
Approximately 0.4 trillion tokens of pre-training were conducted using cloud resources provided by Google Cloud Japan under the support of the Ministry of Economy, Trade and Industry’s GENIAC project.
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
The Chosun Ilbo on MSN
Trillion Labs challenges US-China AI dominance with next-gen models
The current market for artificial intelligence (AI) models, represented by large language models (LLMs), is dominated by the U.S. and China. While U.S. tech giants like OpenAI (ChatGPT), Google ...
This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...
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