The model can quickly search documents, whether they are text-based or include images, diagrams, graphs, tables, code, ...

A new study finds that while LLMs improve translation accuracy for Indic texts, ​​they still struggle to preserve sentiment ...

Learn how vector databases enable advanced AI applications, semantic search, and efficient data retrieval for unstructured datasets.

Word embeddings are numerical representations of semantic content, that can be distinguish by themes and topics in the embedding space. To illustrate this, we utilized GPT to create example sentences ...

The namesake WtP is maintained for consistency. Our new followup SaT provides robust, efficient and adaptable sentence segmentation across 85 languages at higher performance and less compute cost.

Semantic captions and highlights Extracts verbatim sentences and phrases from fields that best summarize the content, with highlights over key passages for easy scanning. Captions that summarize a ...

a semantic breakdown seems more appropriate when the aim is to find specific information, such as the article of a legal text. The size of the chunks must match the capacities of the embedding ...

Essentially, the system search in Windows 11 is now “smart,” a feature that has been long-awaited due to Apple’s popular Spotlight tool in macOS. While not AI-driven, Spotlight does allow ...

So, on Day 3 of the “Signalgate” debacle, the administration settled on, and leaned into, a hyper-specific semantics argument: The Signal group chat did not include literal “war plans.” ...

War plan or battle plan? Classified or not? The answers to those questions amount to a distinction without much of a difference. By David E. Sanger David E. Sanger has covered the intersection of ...

It’s our best guess based on past releases and when they’ve occurred. Right now, it appears that semantic search will be Windows’ flagship AI feature for the near future. Semantic search ...