Explore how Indian firms are training Large Language Models, overcoming challenges with data, capital, and innovative ...
What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...
Tech Xplore on MSN
A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Deep Learning with Yacine on MSN
How to serve large LLMs over decentralized GPUs – parallax & dynamic programming explained
Learn how to efficiently deploy large language models using decentralized GPUs. Explore Parallax techniques and dynamic programming strategies to scale AI workloads with speed and flexibility. #LargeL ...
CX software provider Genesys unveiled Genesys Cloud Agentic Virtual Agent, positioning it as the industry’s first agent built ...
Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.
Executives at leading AI labs say that large language models like those from OpenAI and Big Tech firms risk becoming commoditized in 2025. Last week, Chinese AI firm DeepSeek released R1, a reasoning ...
Bengaluru's Sarvam AI unveils two advanced language models, 'Vikram,' marking a significant milestone in India's AI development.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results