Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

The Pennsylvania Supreme Court has drawn a stark new line around digital privacy, ruling that police can comb through Google search data to identify suspects without first getting a traditional ...

A new independent analysis of over $20 million in Google Ads spend reveals that “hidden” search terms (i.e., queries not disclosed to advertisers) are responsible for massive inefficiencies, siphoning ...

I use self-hosted meta-llama/Llama-3.1-8B-Instruct, modifylightrag_api_openai_compatible_demo_simplified to use the LLM, and run the script on 《The Project Gutenberg eBook of A Christmas Carol》, it ...

School of Engineering, Institute of Computer Science, Intelligent Information Systems Research Group, Zurich University of Applied Sciences, Winterthur, Switzerland Many different methods for ...

NLQL (Natural Language Query Language) is a tool that helps you search through text using simple commands that look like SQL. Just like how SQL helps you find information in databases, NLQL helps y… ...

With the rapid development of artificial intelligence, large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. These models have great ...

Google published a video tutorial with seven tips for using Google Trends to research and share keyword and topic data. The tutorial shows how to find hidden filters and search tools in the Trends ...