Its headlining feature is the amount of context that it can process: 1 million tokens, which is equivalent to around 700,000 words or around 30,000 lines of code. © 2024 TechCrunch. All rights reserved. For personal use only.
Google is expanding the range of Gemini large language models it is making available to developers on its Vertex AI platform today. Gemini 1.0 Pro (which was still known as Gemini Pro 1.0 only a week ago — because Google is very good at branding)…
After coming to Bard and the Pixel 8 Pro last week, Gemini, Google’s recently announced flagship gen AI model family, is launching for Google Cloud customers using Vertex AI. Gemini Pro, a lightweight version of a more capable Gemini model, Gemin…
Google thinks that there’s an opportunity to offload more healthcare tasks to generative AI models — or at least, an opportunity to recruit those models to aid healthcare workers in completing their tasks. Today, the company announced MedLM…
Google’s DeepMind says it has cracked a problem that has vexed those trying to verify whether images are real or created by AI. Researchers proclaimed their new watermarking SynthID format can be used to pinpoint AI-generated deepfakes without distorti…
Google announced today that its generative AI support in Vertex AI, the company’s machine learning platform, is now generally available. Based on Google’s models like PaLM 2, Imagen and Codey, Vertex AI offers developers access to the PaLM’s features for generating and classifying text, building ChatGPT-like multi-turn chat experiences and a text embedding API for…
To paraphrase Andreessen Horowitz, generative AI, particularly on the text-to-art side, is eating the world. At least, investors believe so — judging by the billions of dollars they’ve poured into startups developing AI that creates text and images from prompts. Not to be left behind, Big Tech is investing in its own generative AI art…
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