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This Week I Learned - Week #19 2024

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This Week I Learned -  * The original sources of MS-DOS 1.25, 2.0, and 4.0 are available for reference purposes on Github * While India generates about 20 per cent of the global data, its share in data center capacity is just 3 per cent. * TimesFM from Google Research is a time series forecasting model pre-trained on an extensive corpus of 100 billion real-world data points. It is open-source under the Apache-2.0 license and can be utilized commercially, offline, on a local computer or an engineering laptop. * India is fast emerging as a hub for data annotation services with flexible workers, mid-tier business analysts and even skilled data engineers contributing to build high-quality datasets. Data annotation, or simply data labelling, is the most crucial and foundational step for building high-quality datasets to train AI models, enhance accuracy, curtail hallucinations and build safety guardrails against inappropriate or harmful content - ET *  YTVideoTranscript  is a free YouTube

Edge Copilot Sidebar can answer questions about your PDF document

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When a PDF is open, you can pose questions to the Copilot Sidebar in Edge browser regarding the document.  Questions you may ask include: • Summarizing the document or page • Generating five questions about the document • Identifying the author of the document • Determining the publication date of the document Copilot sends the content of the document to the model to generate a summary.  For a PDF document that I asked Copilot questions about, I got useful answers in most cases. Copilot notified me that it was not saving the conversation to protect privacy. In Edge there is no need to explicitly upload a PDF document, you just have to permit Copilot Sidebar to read the document that is already open. AI Assistants such as Cohere's Command, Perplexity, and Claude also have the  capacity to analyze the content of uploaded PDF documents & text files and answer any posed questions. There are however restrictions on the size of the files and content. Grounding Panel in Cohere's

Top Generative AI Use Cases at IBM

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According to Armand Ruiz , IBM has completed 1,000+ Generative AI projects in 2023.  Top use cases include: ▪️ Customer-facing functions and experiences - Customer service: Empower customers to find solutions with easy, compelling experiences. Automate answers with 95% accuracy - Marketing: Increase personalization, and improve efficiency across the content supply chain. Reduce content creation costs by up to 40% - Content creation: ex. enhance digital sports viewing with auto-generative spoken AI commentary. Scale live viewing experiences cost-effectively - Knowledge worker: Enable higher value work, improve decision making, increase productivity. Reduce 90% of text reading and analysis work ▪️ HR, Finance, and Supply-Chain Functions - HR automation: Reduce manual work and automate recruiting sourcing and nurturing job candidates. Reduce employee mobility processing time by 50% - Supply chain: Automate source-to-pay processes, reduce resource needs, and improve cycle times. Reduce cos