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 blog.research.google
A decoder-only foundation model for time-series forecasting Google Research Blog
| | ai.googleblog.com
Making Better Future Predictions by Watching Unlabeled Videos Google Research Blog
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| | jalammar.github.io
How GPT3 Works - Visualizations and Animations - Jay Alammar - Visualizing machine learning one concept at a time.
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| | Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The tech world is abuzz with GPT3 hype. Massive language models (like GPT3) are starting to surprise us with their abilities. While not yet completely reliable for most businesses to put in front of their customers, these models are showing sparks of cleverness that are sure to accelerate the march of automation and the possibilities of intelligent computer systems. Let's remove the aura of mystery around GPT3 and learn how it's trained and how it works. A trained language model generates text. We can optionally pass it some text as input, which influences its output. The output is generat...
| | research.google
MaMMUT: A simple vision-encoder text-decoder architecture for multimodal tasks
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| | Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of...
| | www.laptopmag.com
Google's latest Gemini 2.5 models are its biggest response to ChatGPT yet - and they're already live | Laptop Mag
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| Google brings Gemini's latest 2.5 Flash and Pro models to wider audiences, and makes Flash-Lite available for testing.