How to Create an ML-Focused Newsletter
Learn how to make a newsletter with AI tools The post How to Create an ML-Focused Newsletter appeared first on Towards Data Science.
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Update to GPT-5 System Card: GPT-5.2
GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.
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Slack CEO Denise Dresser to join OpenAI as chief revenue officer
OpenAI says that Dresser will be responsible for the company’s revenue strategy in enterprise and customer success.
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How to Maximize Agentic Memory for Continual Learning
Learn how to become an effective engineer with continual learning LLMs The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science.
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OpenAI fires back at Google with GPT-5.2 after ‘code red’ memo
OpenAI just launched GPT-5.2, a frontier model aimed at developers and professionals, pushing reasoning and coding benchmarks as it races Google’s Gemini 3 while grappling with compute costs and no generator.
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The New Tools That Can Improve Workforce Training
How companies like Bank of America, Boeing, and Walmart are using virtual reality, augmented reality, and mixed reality to develop employees.
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KV Cache Optimization via Tensor Product Attention
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
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Introducing OpenAI for Australia
OpenAI is launching OpenAI for Australia to build sovereign AI infrastructure, upskill more than 1.5 million workers, and accelerate innovation across the country’s growing AI ecosystem.
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The AI Bubble Will Pop — And Why That Doesn’t Matter
How history’s biggest tech bubble explains where AI is headed next The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science.
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