One very West Coast oversight in current AI models: not emphasizing Excel files and especially spreadsheets with formulas & structured financial data. Financial modeling is an obvious use case that would deliver a lot of value. AI is super close to pulling this off, but not yet.
TOOLS
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Creating PowerPoint Presentations Using ChatGPT Technology
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Make PowerPoint presentation with GhatGPT
— Ronald van Loon (@Ronald_vanLoon) 11 avril 2024
via @pascal_bornet#AI #MachineLearning #ArtificialIntelligence #ML #MI #DL
cc: @ravikikan @pbalakrishnarao @bigdata pic.twitter.com/j00MC6w6llMake PowerPoint presentation with GhatGPT
via @pascal_bornet #AI #MachineLearning #ArtificialIntelligence #ML #MI #DL cc: @ravikikan @pbalakrishnarao @bigdata -
GPT-4 Turbo Vision et Whisper timestamps pour synchronisation multimodale
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Thanks for sharing! We just launched GPT-4 Turbo with Vision, and we recently added word-level timestamps in Whisper for precise text-audio synchronization. We’re excited about multi-modality, and we’d love to hear if this fits your use case!
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Learning to Use AI: Understanding Its Strengths and Limitations
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It’s like insisting to walk when you can take a bike. It gets the hard things wrong but all the easy things right, very helpful and much faster. You have to learn what it can and can’t do.
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AI Applications in Product and Project Management
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How about with regards to product/project management?
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Using Udio for AI-generated music creation
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In case you haven't tried it yet, @udiomusic is worse testing. It takes some time to generate a song but the output is quite good. Listening to my own album about cyberpunk hackers already for a while 🤖🎧 pic.twitter.com/0LadBQLdAs
— 🚨 AI News | TestingCatalog (@testingcatalog) 10 avril 2024In case you haven't tried it yet, @udiomusic is worse testing. It takes some time to generate a song but the output is quite good. Listening to my own album about cyberpunk hackers already for a while
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New Quick Post Feature Generates Posts Using Writing Style
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I gave the "every day is not a good day" prompt to our new Quick Post feature in http://
Reactor.is (coming out to the beta group in just a few days. Here's the post it wrote with no other input other than my writing style "writeprint" that gets automatically added to -
Building AI Tools: Managing Model Mistakes and Reliability
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Not at all. I'm building tools that work against multiple models, I'm happy to leave the detailed evals to other people. I'm going to tell my users that they should assume that AI makes mistakes all the time, because that's a pretty good rule of thumb for everything!
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New llm-gemini Plugin Release with Embedding Model Support
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Exactly what I needed, thank you! I just released a new llm-gemini plugin version with support for that embedding model: https://
github.com/simonw/llm-gem
ini/releases/tag/0.1a3
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Free API token limits and cost implications analysis
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… but the 32,000 tokens per minute presumably prevents free API calls from using more than 32,000 tokens? If so max cost would be 22 cents per call for input, so a lot less expensive overall