Less is more: UC Berkeley and Google unlock LLM potential through simple sampling
The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...
Tom's Hardware on MSN12h
AMD launches Gaia open source project for running LLMs locally on any PC
AMD introduces Gaia, an open-source project designed to run large language models locally on any PC. It also boasts ...
Small models as paralegals: LexisNexis distills models to build AI assistant
LexisNexis fine-tuned Mistral models to build its Protege AI assistant, relying on distilled and small models for its AI platform.
The Commodification Of AI: How Reduced LLM Costs Are Reshaping Healthcare And Beyond
The key differentiator won't be AI itself but how effectively organizations harness it to create smarter and more efficient ...
Baidu Releases Ernie 4.5 Foundation Model and Ernie X1 Reasoning Model With Multimodal Capabilities
Ernie 4.5 is Baidu’s frontier AI model with native multimodal abilities It can understand text, images, audio, and video content Ernie X1 is Baidu’s first reasoning-focused AI model ...
GitHub5d
Triton Inference Server
Triton Inference Server is an open source inference serving software that streamlines AI inferencing. Triton enables teams to deploy any AI model from multiple deep learning and machine learning ...
Baidu launches new AI models, touts superiority to DeepSeek, OpenAI on benchmarks
Tech giant says reasoning model Ernie X1 ‘delivers performance on par with DeepSeek R1 at only half the price’.