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fastml.com | ||
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jalammar.github.io
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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... | |
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www.engadget.com
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| | | | | Here's everything that's new in GPT-4 Turbo, the latest large language model from OpenAI. | |
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bdtechtalks.com
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| | | | | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision. | |
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emptybranchesonthefamilytree.com
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| | | [AI summary] A vintage Halloween postcard from 1911 is showcased along with genealogy-related content and privacy policy information. | ||
