Everyone talking about the future of search, but I'm particularly excited about the future of the browser — Edge will now include an AI assistant that can help you anywhere on the web. Really starting to point at the future of UI:
SOFTWARE
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AI Cover Letter Writer generates drafts from job descriptions
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2. AI Cover Letter Writer
— AI Breakfast (@AiBreakfast) 7 février 2023
Uses preloaded prompts for any job description and generates a solid rough draft into a selected template. pic.twitter.com/Xptz5hBKYY2. AI Cover Letter Writer Uses preloaded prompts for any job description and generates a solid rough draft into a selected template.
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Microsoft Launches AI-Powered Search Engine and Browser with Chatbots
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Throwing a coming-out party for the new breed of A.I., Microsoft just showed off a new search engine and web browser that include their own chatbots, @KYWeise and I report from Seattle: https://
nytimes.com/2023/02/07/tec
hnology/microsoft-ai-chatgpt-bing.html?smid=tw-share
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Orbital Sidekick uses AI satellites detect gas pipeline leaks
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#NVIDIAInception member @OrbitalSidekick creates technology to spot gas pipeline leaks with satellites to collect hyperspectral imagery from space, using the #NVIDIAJetson edge AI platform to process and analyze data in real time. https://
nvda.ws/3kEcKPQ -
LangChain 0.0.79 Release: New AI Features and Integrations
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New release (0.0.79) with new features! @huggingface inference endpoint integration SQLDatabase chain # of rows Google Drive and Obsidian data loaders Saving/loading of FAISS vectorstore And also lots of small quality of life bug fixes/doc improvements
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Abacus AI: Complete MLOps Platform for End-to-End Solutions
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Sounds interesting but don't know where to start? Check out this end-to-end MLOps platform by @abacusai https://
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MLOps Bridges Data Science and IT for Secure AI Deployment
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At the end of the day, MLOps practices can help organizations to achieve their AI goals more quickly and efficiently. By fostering collaboration between data science and IT teams, MLOps can help to ensure that AI is deployed in a way that is secure, reliable, and scalable.
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MLOps Enables Data Scientists to Focus on Model Development
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Another important aspect of MLOps is that it enables data scientists to focus on what they do best – developing models and algorithms – while IT takes care of the operational aspects of model deployment and management.
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MLOps ensures secure reliable scalable model deployment
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This improved collaboration between data science and IT also helps to ensure that models are deployed in a way that is secure, reliable, and scalable. For ex, MLOps practices can help to prevent security breaches and ensure that models continue to perform well in production.
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MLOps Enables Efficient Collaboration Between Data Scientists IT
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One of the key benefits of MLOps is that it enables data scientists and IT professionals to work together more efficiently and effectively. For example, MLOps practices can help to ensure that data scientists have access to the right infrastructure and tools.