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 ...

TigerGraph CoPilot allows business analysts, data scientists, and developers to use ... information retrieval that facilitates better answers and more informed decisions. CoPilot’s context ...

Hallucinations -- the lies generative AI models tell, basically -- are a big problem for businesses looking to integrate the ...

In the “passkey retrieval ... context could, theoretically, enable you to insert all of your documents into the prompt and let the model pick the most relevant parts for each query.

TrustCloud’s AI already pre-fills up to 80% of a security questionnaire, but we’ve developed the next iteration. TrustShare has built new generative AI capabilities called GraphAI. GraphAI will still ...

You see, being overly sparse can be off-putting due to lacking sufficient clues or information ... in-context modeling ...

As of now, we use them predominantly to synthesize unstructured and structured information, which happens in offline operations as well as in query-time ... building the context of the LLM prompt.

The query will then be internally converted to an LLM prompt using the data from search results as context to the prompt, with typical RAG (retrieval augmented generation),” the company’s head ...