The Economist3d
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 ( ...
Baidu to open-source its Ernie large language model series
The company, the operator of China’s most popular search engine, announced the plan today. Reuters reported that the ...
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 ...
unite1d
The Many Faces of Reinforcement Learning: Shaping Large Language Models
In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...
Malay Mail on MSN5h
DeepSeek’s rise: Is the Chinese language the secret ingredient to its AI edge?
DeepSeek, a Chinese artificial intelligence start-up, has recently gained global attention for its high-performing, ...
Beyond LLMs: A multi-model approach to AI
Experts in India debate the use of Large vs. Small Language Models for AI development, focusing on domain-specific solutions.
Too Old to Operate1d
Performance and Limitations of Large Language Models in Critical Care
The following is a summary of “Comparative evaluation and performance of large language models on expert level critical care questions: a benchmark study,” published in the February 2025 issue of BMC ...
'ChatGPT for birdsong' may shed light on how language is wired in the human brain
Just like ChatGPT and other generative language models train on human texts to create grammatically correct sentences, a new ...
Pathway Navigates Next Road For AI Foundational Models
AI models in the future will be large, small, portable, hybrid, remote and domain-specific and use cases will grow more ...
Four ways DeepSeek could change everything
While the seismic market moves caused by DeepSeek were short-lived, the release of the Chinese startup’s high-performing and ...
Microsoft1d
5 key features and benefits of retrieval augmented generation (RAG)
Explore key features and benefits of retrieval augmented generation (RAG) to seamlessly integrate information retrieval to ...
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.