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 MSN8h
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 ...
Why Mistral Small 3.1 is the Future of Multimodal AI Technology
Explore Mistral Small 3.1, the versatile open-source AI model with multimodal and multilingual capabilities for text and ...
Crunchbase News14h
Reporter’s Notebook: What The Big AI Model Companies Shared At HumanX
X AI conference was trust — namely, how to build trusted outcomes from a powerful but inherently probabilistic technology.
What is Le Chat: everything you need to know about Mistral AI’s chatbot
Le Chat is an AI chatbot developed by France’s Mistral AI. Europe’s answer to ChatGPT, it’s faster and more affordable than ...
Global AI Hardware Start-ups: Strategic Positioning and Emerging Opportunities
The "Global AI Hardware Startups: Strategic Positioning and Emerging Opportunities" report has been added to ResearchAndMarkets.com's offering.Amid the AI development landscape dominated by global AI ...
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.