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Tag: parameter

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • Cloud Blog: Announcing a new monitoring library to optimize TPU performance

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/new-monitoring-library-to-optimize-google-cloud-tpu-resources/ Source: Cloud Blog Title: Announcing a new monitoring library to optimize TPU performance Feedly Summary: For more than a decade, TPUs have powered Google’s most demanding AI training and serving workloads. And there is strong demand from customers for Cloud TPUs as well. When running advanced AI workloads, you need to be…

  • Simon Willison’s Weblog: How to run an LLM on your laptop

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/18/how-to-run-an-llm-on-your-laptop/ Source: Simon Willison’s Weblog Title: How to run an LLM on your laptop Feedly Summary: How to run an LLM on your laptop I talked to Grace Huckins for this piece from MIT Technology Review on running local models. Apparently she enjoyed my dystopian backup plan! Simon Willison has a plan for…

  • AWS News Blog: Announcing Amazon Nova customization in Amazon SageMaker AI

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/ Source: AWS News Blog Title: Announcing Amazon Nova customization in Amazon SageMaker AI Feedly Summary: AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across…

  • Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…

  • Slashdot: China’s Moonshot Launches Free AI Model Kimi K2 That Outperforms GPT-4 In Key Benchmarks

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/07/14/1942209/chinas-moonshot-launches-free-ai-model-kimi-k2-that-outperforms-gpt-4-in-key-benchmarks?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: China’s Moonshot Launches Free AI Model Kimi K2 That Outperforms GPT-4 In Key Benchmarks Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the release of Kimi K2, a trillion-parameter open-source language model by Chinese startup Moonshot AI, which surpasses GPT-4 in key performance benchmarks. Its unique…

  • Simon Willison’s Weblog: moonshotai/Kimi-K2-Instruct

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/11/kimi-k2/#atom-everything Source: Simon Willison’s Weblog Title: moonshotai/Kimi-K2-Instruct Feedly Summary: moonshotai/Kimi-K2-Instruct Colossal new open weights model release today from Moonshot AI, a two year old Chinese AI lab with a name inspired by Pink Floyd’s album The Dark Side of the Moon. My HuggingFace storage calculator says the repository is 958.52 GB. It’s a…