Prototyping a new tool? Don't overcomplicate it. There's no secret way to create something useful that succeeds: 1. Identify a real problem (you or someone you know has). It can be just a nice-to-have or something annoying.
2. Find a scrappy solution that exists and test it. If
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Prototyping AI Tools: Identify Problems, Test Solutions, Iterate
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Abacus AI ChatLLM: Data Science Co-Pilot for ML Workflows
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The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
— Kirk Borne (@KirkDBorne) 8 décembre 2024
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production
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>=> an incredible aid to #DataScientists pic.twitter.com/fNHUrzhjZqThe future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production >=> an incredible aid to #DataScientists -
Scaling LLM Apps to 30k QPS: Character AI Tech Lead Insights
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I'm doing a fireside chat with a Character AI tech lead on Tuesday in SF. This is what I'm planning to ask: – War stories from scaling to 30k QPS
– Why scaling LLM apps != scaling regular apps
– Internal tools built If this is interesting, come on by: https://
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Building the Application Layer on Generative AI Capabilities
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Exactly this: “To me the story of 2024 has been filling in those question marks in that illustration. The product overhang from the generative AI capabilities we have today are absolutely massive: there are so many new things to be built, and completely new application layer
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Groq API and Langflow: Build High-Performance Apps Visually
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Go from idea to implementation with minimal code while maintaining high performance by harnessing the Groq API with an easy-to-build visual interface thanks to @langflow_ai
. Don't miss our upcoming webinar with @ozenhati & @MisbahSy
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Image to LaTeX Converter Using Llama 3.2 Vision Model
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Image to LaTeX powered by multimodal Llama 3.2!
— Akshay 🚀 (@akshay_pachaar) 8 décembre 2024
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Upload image of an equation, and it gives you the corresponding LaTeX code.
Here's what you need:
– Ollama for serving Llama 3.2 vision locally
– Streamlit for the UI
Everything is just 50 lines of code!
Link to the code in… pic.twitter.com/tMCt93sjgGImage to LaTeX powered by multimodal Llama 3.2!
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Upload image of an equation, and it gives you the corresponding LaTeX code. Here's what you need: – Ollama for serving Llama 3.2 vision locally
– Streamlit for the UI Everything is just 50 lines of code! Link to the code in -
Windsurf vs Cursor: AI coding tools comparison analysis
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Nice breakdown—thank you! I’ve yet to try @windsurf_ai
. What’s your take on it versus @cursor_ai
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Perplexity Pro Access Initiative for Indian Students and Researchers
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If @narendramodi ji is interested, I would be down to figuring out an economic structure where all Indian students, faculty and researchers can get Perplexity Pro.
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Chain-of-thought summary and AI categories
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The CoT summary mostly what you’d expect — pages and pages of ideation about plausible nicknames and letter cycles, often nonsensically meandering. This is from the middle — imagine like 100 more pages of this stuff:
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Product Testing Phase Before Wider Release
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Taking our time to test & learn for now, but excited for more people to get their hands on it in the future.