Morning Overview on MSN
LLMs have tons of parameters, but what is a parameter?
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Threat actors are systematically hunting for misconfigured proxy servers that could provide access to commercial large ...
We probably won’t see chunking go away as long as publishers can point to a positive effect. However, Google seems to feel ...
Deep Learning with Yacine on MSNOpinion
How to train LLMs with long context
Learn how to train large language models (LLMs) effectively with long context inputs. Techniques, examples, and tips included ...
A quantum trick based on interferometric measurements allows a team of researchers at LMU to detect even the smallest ...
A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...
The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...
The AI researchers at Andon Labs — the people who gave Anthropic Claude an office vending machine to run and hilarity ensued — have published the results of a new AI experiment. This time they ...
Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback