Tag: model development
-
The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100
Source URL: https://www.theregister.com/2024/11/13/nvidia_b200_performance/ Source: The Register Title: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100 Feedly Summary: Is Huang leaving even more juice on the table by opting for mid-tier Blackwell part? Signs point to yes Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up…
-
Hacker News: OpenAI’s new "Orion" model reportedly shows small gains over GPT-4
Source URL: https://the-decoder.com/openais-new-orion-model-reportedly-shows-small-gains-over-gpt-4/ Source: Hacker News Title: OpenAI’s new "Orion" model reportedly shows small gains over GPT-4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the stagnation in the performance of large language models (LLMs), particularly OpenAI’s upcoming Orion model, which shows minimal gains compared to its predecessor, GPT-4. It highlights…
-
Schneier on Security: AI Industry is Trying to Subvert the Definition of “Open Source AI”
Source URL: https://www.schneier.com/blog/archives/2024/11/ai-industry-is-trying-to-subvert-the-definition-of-open-source-ai.html Source: Schneier on Security Title: AI Industry is Trying to Subvert the Definition of “Open Source AI” Feedly Summary: The Open Source Initiative has published (news article here) its definition of “open source AI,” and it’s terrible. It allows for secret training data and mechanisms. It allows for development to be done…
-
Hacker News: Dstack: An alternative to K8 for AI/ML tasks
Source URL: https://github.com/dstackai/dstack Source: Hacker News Title: Dstack: An alternative to K8 for AI/ML tasks Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses dstack, an innovative container orchestration tool tailored for AI workloads, serving as an alternative to Kubernetes and Slurm. It simplifies the management of AI model development and…
-
Hacker News: PiML: Python Interpretable Machine Learning Toolbox
Source URL: https://github.com/SelfExplainML/PiML-Toolbox Source: Hacker News Title: PiML: Python Interpretable Machine Learning Toolbox Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces PiML, a new Python toolbox designed for interpretable machine learning, offering a mix of low-code and high-code APIs. It focuses on model transparency, diagnostics, and various metrics for model evaluation,…
-
Simon Willison’s Weblog: Claude 3.5 Haiku
Source URL: https://simonwillison.net/2024/Nov/4/haiku/#atom-everything Source: Simon Willison’s Weblog Title: Claude 3.5 Haiku Feedly Summary: Anthropic released Claude 3.5 Haiku today, a few days later than expected (they said it would be out by the end of October). I was expecting this to be a complete replacement for their existing Claude 3 Haiku model, in the same…
-
Cloud Blog: Powerful infrastructure innovations for your AI-first future
Source URL: https://cloud.google.com/blog/products/compute/trillium-sixth-generation-tpu-is-in-preview/ Source: Cloud Blog Title: Powerful infrastructure innovations for your AI-first future Feedly Summary: The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing…
-
Hacker News: Why Are ML Compilers So Hard? « Pete Warden’s Blog
Source URL: https://petewarden.com/2021/12/24/why-are-ml-compilers-so-hard/ Source: Hacker News Title: Why Are ML Compilers So Hard? « Pete Warden’s Blog Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the complexities and challenges faced by machine learning (ML) compiler writers, specifically relating to the transition from experimentation in ML frameworks like TensorFlow and PyTorch to…