Tag: performance benchmark

  • Simon Willison’s Weblog: DeepSeek 3.1

    Source URL: https://simonwillison.net/2025/Aug/22/deepseek-31/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek 3.1 Feedly Summary: DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it’s a hybrid reasoning model. DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks…

  • The Register: Dodgy Huawei chips nearly sunk DeepSeek’s next-gen R2 model

    Source URL: https://www.theregister.com/2025/08/14/dodgy_huawei_deepseek/ Source: The Register Title: Dodgy Huawei chips nearly sunk DeepSeek’s next-gen R2 model Feedly Summary: Chinese AI model dev still plans to use homegrown silicon for inferencing Unhelpful Huawei AI chips are reportedly why Chinese model dev DeepSeek’s next-gen LLMs are taking so long.… AI Summary and Description: Yes Summary: The text…

  • Cloud Blog: Taming the stragglers: Maximize AI training performance with automated straggler detection

    Source URL: https://cloud.google.com/blog/products/compute/stragglers-in-ai-a-guide-to-automated-straggler-detection/ Source: Cloud Blog Title: Taming the stragglers: Maximize AI training performance with automated straggler detection Feedly Summary: Stragglers are an industry-wide issue for developers working with large-scale machine learning workloads. The larger and more powerful these systems become, the more their performance is hostage to the subtle misbehavior of a single component.…

  • The Cloudflare Blog: Redesigning Workers KV for increased availability and faster performance

    Source URL: https://blog.cloudflare.com/rearchitecting-workers-kv-for-redundancy/ Source: The Cloudflare Blog Title: Redesigning Workers KV for increased availability and faster performance Feedly Summary: Workers KV is Cloudflare’s global key-value store. After the incident on June 12, we re-architected KV’s redundant storage backend, remove single points of failure, and make substantial improvements. AI Summary and Description: Yes Summary: The text…

  • Slashdot: OpenAI Releases GPT-5

    Source URL: https://slashdot.org/story/25/08/07/1719223/openai-releases-gpt-5?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Releases GPT-5 Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s release of GPT-5 represents a substantial advancement in AI technology, boasting notable improvements in both reasoning capabilities and performance benchmarks compared to its predecessors. This update is particularly relevant for professionals focused on AI security and the…

  • Simon Willison’s Weblog: Qwen3-4B Instruct and Thinking

    Source URL: https://simonwillison.net/2025/Aug/6/qwen3-4b-instruct-and-thinking/ Source: Simon Willison’s Weblog Title: Qwen3-4B Instruct and Thinking Feedly Summary: Qwen3-4B Instruct and Thinking Yet another interesting model from Qwen—these are tiny compared to their other recent releases (just 4B parameters, 7.5GB on Hugging Face and even smaller when quantized) but with a 262,144 context length, which Qwen suggest is essential…

  • Simon Willison’s Weblog: OpenAI’s new open weight (Apache 2) models are really good

    Source URL: https://simonwillison.net/2025/Aug/5/gpt-oss/ Source: Simon Willison’s Weblog Title: OpenAI’s new open weight (Apache 2) models are really good Feedly Summary: The long promised OpenAI open weight models are here, and they are very impressive. They’re available under proper open source licenses – Apache 2.0 – and come in two sizes, 120B and 20B. OpenAI’s own…

  • Simon Willison’s Weblog: Claude Opus 4.1

    Source URL: https://simonwillison.net/2025/Aug/5/claude-opus-41/ Source: Simon Willison’s Weblog Title: Claude Opus 4.1 Feedly Summary: Claude Opus 4.1 Surprise new model from Anthropic today – Claude Opus 4.1, which they describe as “a drop-in replacement for Opus 4". My favorite thing about this model is the version number – treating this as a .1 version increment looks…