Many learning algorithms work by letting the computer play games against itself or the world and distill strategies from evaluating the outcomes of these games, then follow these strategies. How is that different for your own mind?
MACHINE LEARNING
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Mistral-Next LLM Drops: GPT-4 Level Coding Performance Achieved
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Ok, so… today is crazy. There's a mysterious Mistral-Next model that just dropped, and I am testing it for coding—it's GOOD. Possibly GPT-4 level. I even ran a few tests that I asked GPT to evaluate the outputs, and it gave Mistral-Next a perfect score.
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AI and Machine Learning Synergy Infographic Guide
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Unveiling the synergy between AI, Machine Learning, and more with this crisp infographic by @appypie
. Follow @ingliguori for a deeper dive into each field! #AI #MachineLearning #DeepLearning #NLP #ComputerVision -
Model Capabilities and Limits: Ground Truth Dissolves
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This particular loop captures perfectly what the model is good at and where it fails. It's also a metaphor for postmodernism, but meanwhile just stare at it until the illusion of ground truth dissolves https://t.co/OotYElgJkf
— Joscha Bach (@Plinz) 16 février 2024This particular loop captures perfectly what the model is good at and where it fails. It's also a metaphor for postmodernism, but meanwhile just stare at it until the illusion of ground truth dissolves
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ICL vs SFT: Scale and long context favor In-Context Learning for larger models.
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SFT of smaller models will be around for a while I’m sure, but those are smaller models. With each increase in model scale the tradeoff between ICL and SFT tips in favor of the former, and even more so with long context I think.
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Gemini 1.5: 10M tokens, 100K-shot, prompting eats everything
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Gemini 1.5 — 10M tokens and the demos to prove it can use them. So many implications here. Why SFT when you can 100K-shot? And if it can translate Kalamang given a grammar and dictionary, what *can’t* the right words teach it? Prompting is poised to eat everything.
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Yamaha Motoroid2: AI-Powered Motorcycle That Learns and Adapts
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Motorcycle YAMAHA MOTOROiD2 that remembers and adjusts to you, standing upright on its own, thanks to Al technology and high precision sensors laranjasolta v/ @gunsnrosesgirl3 #innovation #AutonomousVehicles #ElectricVehicles #AI #ML @CurieuxExplorer @Khulood_Almani
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The Future of Farming: Precision Agriculture and AI Technology
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Step into the future of farming with #Agrotechnology! Gone are the days of traditional plowing; today, it's all about precision #farming, #drones, #AI-driven insights #ArtificialIntelligence #innovation #tech #MachineLearning #ML #FutureofWork #agriculture #SupplyChain
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Game Engine and Diffusion Model Hybrid for Video Generation
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i thought it was a hybrid, a game engine creates the camera controlled low-res, and a diffusion model upscales it (and produces the weird stuff).
camera rotations and translations are so notoriously hard in video-gen, that I thought some runtime trick was a great way to shortcut