The year 2024 seems to be one of long contexts, quite literally. There’s Anthropic's Claude 3 with a context window of 200K ...

RAG systems merge generative AI with information retrieval from external sources on the open web to augment their knowledge ...

Instead of simply returning products that match a specific user search query, AI-driven search ... A Generative AI Use Case for Information Retrieval Designed specifically for igus, igusGO is ...

Cataloging and research are major areas in librarianship that artificial intelligence can automate and potentially improve.

They achieve this by keeping your data locally, using embeddings and vectorization ... and are still connected with some overlapping context. This is useful for tasks like text analysis and ...

The quest to keep data private while still being able to search may soon be within reach, with different companies charting ...

When you perform a traditional query ... the search engine needs more context to provide the correct answer. Deep Search uses ...

In their study, the DeepMind researchers investigated how many-shot ICL affects the performance of LLMs in downstream tasks.

Currently, information-retrieval tools such as PubMed are by ... The topic might be either a user-provided query (ad hoc IR) or a pre-defined set of papers (text categorization).

Librarians have a lot to think about now that artificial intelligence has entered the picture. Not only could the technology ...