MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Quiq reports AI automation enhances efficiency by adapting to customer interactions, offering personalized service while ...

My LLMs pair incredibly well with these tools ...

Growing up, I watched my family make a lot of sacrifices to keep their small business afloat. It was hard, grueling work with ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

New protections inspect documents, metadata, prompts, and responses before AI models can be manipulated Indirect prompt ...

Replaces informal API change coordination with a structured approval process before development begins. Ownership, ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

Generative engine optimization (GEO) represents a shift from optimizing for keyword-based ranking systems to optimizing for how generative search engines interpret and assemble information. While the ...