Tag: model performance
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Cloud Blog: Moving from experimentation into production with Gemini and Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/experimentation-to-production-with-gemini-and-vertex-ai/ Source: Cloud Blog Title: Moving from experimentation into production with Gemini and Vertex AI Feedly Summary: You might have seen the recent stat on how 61% of enterprises are running generative AI use cases in production — and with industry leaders including PUMA, Snap, and Warner Brothers Discovery speaking at today’s Gemini…
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Simon Willison’s Weblog: Qwen2-VL: To See the World More Clearly
Source URL: https://simonwillison.net/2024/Sep/4/qwen2-vl/#atom-everything Source: Simon Willison’s Weblog Title: Qwen2-VL: To See the World More Clearly Feedly Summary: Qwen2-VL: To See the World More Clearly Qwen is Alibaba Cloud’s organization training LLMs. Their latest model is Qwen2-VL – a vision LLM – and it’s getting some really positive buzz. Here’s a r/LocalLLaMA thread about the model.…
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Hacker News: Transparency is often lacking in datasets used to train large language models
Source URL: https://news.mit.edu/2024/study-large-language-models-datasets-lack-transparency-0830 Source: Hacker News Title: Transparency is often lacking in datasets used to train large language models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges associated with the provenance and licensing of datasets used in training large language models (LLMs). It highlights the potential legal and ethical…
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Simon Willison’s Weblog: Quoting Alex Albert
Source URL: https://simonwillison.net/2024/Aug/26/alex-albert/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Alex Albert Feedly Summary: We’ve read and heard that you’d appreciate more transparency as to when changes, if any, are made. We’ve also heard feedback that some users are finding Claude’s responses are less helpful than usual. Our initial investigation does not show any widespread issues.…