The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and first reasoning dLLM. Mercury 2 ...

Microsoft Corp. has developed a series of large language models that can rival algorithms from OpenAI and Anthropic PBC, multiple publications reported today. Sources told Bloomberg that the LLM ...

It is possible to load and run 14 Billion parameter llm AI models on Raspberry Pi5 with 16 GB of memory ($120). However, they can be slow with about 0.6 tokens per second. A 13 billion parameter model ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Just yesterday, I asked if Google would ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...

Google at Google Cloud Next 24 unveiled three open source projects for building and running generative AI models. The company also introduced new large language models to its MaxText project of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Chaos-inciting fake news right this way A single, unlabeled training prompt can break LLMs' safety behavior, according to Microsoft Azure CTO Mark Russinovich and colleagues. They published a research ...