The best text to 3D AI yet: MVDream!#ai #3d #3drendering #3drender #whatsai #ml pic.twitter.com/eviAAeXhvO
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 21 septembre 2023
The best text to 3D AI yet: MVDream! #ai #3d #3drendering #3drender #whatsai #ml
@whats_ai
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MVDream: Advanced Text-to-3D AI Model
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Fine-tuning Large Language Models: From Generalists to Specialists
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Good morning fellow AI enthusiast! This week's iteration focuses on large language models and how to make them from generalists to specialists, or, in other words: fine-tuning! Learn more in this week's iteration: https://
louisbouchard.substack.com/p/230d32a4-034
f-4d5d-8239-153ee81b7854
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Fine-Tuning Large Language Models: When and How
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New video! When and How to Fine-Tune Large Language Models Learn more: https://
youtu.be/7mOD9kgqRf0 #llm #llms #gpt #llama #llama2 #ai #whatsai -
Where to Find AI News and Updates
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Where do you get your "AI news" or updates in the field? There are enough options in the poll! Let me know more about who keeps you up-to-date in the field! Personally, it's mainly through newsletters and YouTube channels (or nothing in a work rush). #ai #ainews
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SIGGRAPH Paper Presents Innovative AI Research Initiative
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What a fantastic video to present new research! Wow! Congrats to the authors for the SIGGRAPH paper and this amazing initiative haha!
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Real-Time Global Algorithm Balance Speed Accuracy
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The algorithm needs to function in real-time and on a global scale, serving billions of users without slowing down. It's about finding a balance between speed and accuracy. Ultimately, users care more about receiving quick responses than precision down to the minute.
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Bridging AI Research and Real-World Implementation for Maximum Impact
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This process enhances our perception of AI research. While core research is crucial, realizing its real-world effects and applying results in functional settings can optimize positive impact.
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Google DeepMind predicts travel time with machine learning
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The goal? Developing a system that accurately predicts your estimated travel time from point A to point B. If you've ever ordered food online or requested a ride through an app, you've likely interacted with a version of this system developed at Google DeepMind.
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Google Maps Pathfinding Beyond Navigation Prediction Algorithms
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It goes beyond a simple pathfinding problem. Google Maps' predictions account for dynamically changing conditions such as weather, roadblocks, and traffic lights. Even the data, collected from phone positions, is susceptible to noise and adversarial behavior.
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From Theory to Practice: Algorithm Development for Google Maps
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Making the leap from pure research to real-world application can be a transformative experience. When developing an algorithm for Google Maps, it means moving from theoretical discussions to encountering and solving real-world challenges.