The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

The TASKING toolchain has been designed with a foundation that enables OEMs to develop functionally safe and secure systems. Modern AI capabilities are supported within the toolch ...

International Business Machines Corporation stock plunges; downgrade IBM to Hold as Anthropic's Claude Code threatens ...

New agent step in Opal figures out the right tools and models it needs to accomplish the user’s objective, Google said.

When Anthropic announced the start of testing on Friday, security vendors, and the markets, sat up and took notice. But is ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.