Reinforcement Learning for LLMs in 2025
Learn how reinforcement learning and prompt engineering are shaping the future of large language models for smarter AI ...
Hackaday12d
large language model
Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While suggestions that people eat rocks are funny to you and me, in the case ...
Easily Fine-Tune AI Models by Training Them with Your Own Data Using Encord
Simplify AI training with Encord’s powerful tools for data annotation, integration, and active learning. Achieve better AI ...
The Economist2d
Forget DeepSeek. Large language models are getting cheaper still
A s recently as 2022, just building a large language model ( LLM) was a feat at the cutting edge of artificial-intelligence ( ...
The Register on MSN3d
DeepMind working on distributed training of large AI models
Alternate process could be a game changer if they can make it practicable Is distributed training the future of AI? As the ...
Inverse13h
DeepSeek Has Upended The World Of AI In Ways That We’re Only Beginning to Understand
An AI startup from China, DeepSeek, has upset expectations about how much money is needed to build the latest and greatest ...
devdiscourse14h
AI models learn to reason: Study reveals structure matters more than content
One of the most notable findings of the study is the efficiency of reasoning training. Unlike traditional approaches that ...
Less supervision, better results: Study shows AI models generalize more effectively on their own
Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.
Venture investors see DeepSeek accelerating AI market growth
Most believe improving economics will shift action in the venture industry away from building costly models to smaller models ...