Experimental News Clipping Site

Tag: Excel

  • Cloud Blog: Build and refine your audio generation end-to-end with Gemini 1.5 Pro

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-build-a-podcast-with-gemini-1-5-pro/ Source: Cloud Blog Title: Build and refine your audio generation end-to-end with Gemini 1.5 Pro Feedly Summary: Generative AI is giving people new ways to experience audio content, from podcasts to audio summaries. For example, users are embracing NotebookLM’s recent Audio Overview feature, which turns documents into audio conversations. With one click,…

  • Hacker News: Show HN: Prompt Engine – Auto pick LLMs based on your prompts

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    Source URL: https://jigsawstack.com/blog/jigsawstack-mixture-of-agents-moa-outperform-any-single-llm-and-reduce-cost-with-prompt-engine Source: Hacker News Title: Show HN: Prompt Engine – Auto pick LLMs based on your prompts Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The JigsawStack Mixture-Of-Agents (MoA) offers a novel framework for leveraging multiple Language Learning Models (LLMs) in applications, effectively addressing challenges in prompt management, cost…

  • AWS News Blog: Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight

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    Source URL: https://aws.amazon.com/blogs/aws/solve-complex-problems-with-new-scenario-analysis-capability-in-amazon-q-in-quicksight/ Source: AWS News Blog Title: Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight Feedly Summary: Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets. AI Summary and Description:…

  • Wired: A New Benchmark for the Risks of AI

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    Source URL: https://www.wired.com/story/benchmark-for-ai-risks/ Source: Wired Title: A New Benchmark for the Risks of AI Feedly Summary: MLCommons provides benchmarks that test the abilities of AI systems. It wants to measure the bad side of AI next. AI Summary and Description: Yes Summary: The text discusses MLCommons’ introduction of AILuminate, a new benchmark designed to evaluate…

  • Hacker News: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking

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    Source URL: https://www.pinecone.io/blog/cascading-retrieval/ Source: Hacker News Title: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking Feedly Summary: Comments AI Summary and Description: Yes Summary: Pinecone has introduced new cascading retrieval capabilities for AI search applications, enhancing the integration of dense and sparse retrieval systems. These advancements, which reportedly improve performance by up to…

  • Hacker News: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels

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    Source URL: https://arxiv.org/abs/2411.00873 Source: Hacker News Title: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach to Parameter-Efficient Fine-Tuning (PEFT) designed to enhance model performance when working with noisy labeled data. This research is particularly relevant for professionals in AI,…

  • Hacker News: AI and the Last Mile 2: Subsidiarity

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    Source URL: https://hollisrobbinsanecdotal.substack.com/p/ai-and-the-last-mile-2 Source: Hacker News Title: AI and the Last Mile 2: Subsidiarity Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the principle of subsidiarity in relation to AI systems, emphasizing the importance of local knowledge and expertise in decision-making processes. It critiques the limitations of large centralized AI models,…

  • The Register: Microsoft hits back at claims it slurps your Word, Excel files to train AI models

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    Source URL: https://www.theregister.com/2024/11/27/microsoft_word_excel_ai/ Source: The Register Title: Microsoft hits back at claims it slurps your Word, Excel files to train AI models Feedly Summary: Confusion over Connected Experiences settings in 365 apps spark concerns Microsoft’s Connected Experiences option in its productivity suite has been causing consternation amid accusations that the default setting might allow Microsoft…

  • Slashdot: Microsoft Denies Using Word and Excel Data To Train AI Models

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    Source URL: https://slashdot.org/story/24/11/26/2015232/microsoft-denies-using-word-and-excel-data-to-train-ai-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Denies Using Word and Excel Data To Train AI Models Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has addressed concerns regarding the automatic data collection from Word and Excel documents for AI model training. The company clarified that user data is not being utilized for this…

  • Hacker News: Microsoft Word and Excel AI data scraping slyly switched to opt-in by default

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    Source URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/microsoft-word-and-excel-ai-data-scraping-slyly-switched-to-opt-in-by-default-the-opt-out-toggle-is-not-that-easy-to-find Source: Hacker News Title: Microsoft Word and Excel AI data scraping slyly switched to opt-in by default Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Microsoft’s Connected Experiences feature in Office applications, which collects user-generated content to train AI models by default, raising significant concerns around privacy and…