Are you struggling to balance generative AI safety with accuracy, performance, and costs? Many organizations face this challenge when deploying generative AI applications to production.
Traditional search engines have historically relied on keyword search.
During a summer internship at MIT Lincoln Laboratory, Ivy Mahncke, an undergraduate student of robotics engineering at Olin College of Engineering, took a hands-on approach
Using large language models (LLMs) — or their outputs, for that matter — for all kinds of machine learning-driven tasks, including predictive ones that were
Google is partnering with the Massachusetts AI Hub to provide every Baystater with no-cost access to Google’s AI training.
There’s a lot of excitement right now about AI enabling mainframe application modernization. Boards are paying attention. CIOs are getting asked for a plan. AI
New alternatives, “understand” and “ask” buttons in Google Translate help you navigate the complexities of natural language.
Foundation models deliver impressive out-of-the-box performance for general tasks, but many organizations need models to consume their business knowledge. Model customization helps you bridge the
Modern large language model (LLM) deployments face an escalating cost and performance challenge driven by token count growth. Token count, which is directly related to
Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed.