English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...

I fail to find some examples for multi-turn conversation inference. I wonder, apart from decoding back to text each conversation and then encoding again along with the next question, is there any more ...

Bucknell University collaborators on LEAF-Writer Commons — a standalone semantic code editor and writing component of the Linked Editorial Academic Framework (LEAF) — were part of the team awarded the ...

In a nutshell: Streaming and other demanding video applications are growing rapidly, and existing codecs are struggling to keep pace. Fortunately, AOMedia has pledged to finalize a new generation of ...

What if the future of AI wasn’t just smarter but also more private, efficient, and accessible? Enter EmbeddingGemma, a new open model designed to transform how text embeddings are generated and used.

What specific problem does this solve? This change solves a compatibility issue for all users who rely on OpenAI-compatible embedding providers that return embeddings as raw float arrays instead of ...

As an essential branch of chemical science, biochemical analysis is widely applied in disease diagnosis, food safety testing, environmental monitoring, and other fields. Artificial intelligence (AI) ...

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...