Everyone thinks that AI is using prompts and getting results. Unfortunately, building AI/ML systems is much more complex than that. Follow @abacusai for practical advice and recommendations to build end-to-end ML systems.
MACHINE LEARNING
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Transform Your Organization into an AI-First Company Today
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Turn your organization into an AI-first company Create custom LLMs, recommender or forecasting models Use the world's ONLY AI ASSISTED DATA SCIENCE platform http://
abacus.ai -
Industrial Dexterity Panel with Leading Robotics Experts
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Looking fwd to panel on “Industrial Dexterity: Rate, Range, and Reliability” with robotics experts Matt Mason, Lauren Miller, and Jeff Mahler tomorrow / Wed at 10am PT ! https://t.co/tVIpi5N1jg
— Ken Goldberg (@Ken_Goldberg) 4 avril 2023Looking fwd to panel on “Industrial Dexterity: Rate, Range, and Reliability” with robotics experts Matt Mason, Lauren Miller, and Jeff Mahler tomorrow / Wed at 10am PT !
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Fine-tuned Models Reduce Loss in Domain-Specific Applications
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This is really cool. Different from what I’ve tried. I can imagine a fine tuned model for a specific domain could help w reducing loss (Eg. Symbols that represent specific relationship types in the specific domain).
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Hiring Exceptional Full-Stack and ML Developers for Creative Software
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if you're an exceptional full-stack or machine learning developer interested in building the next generation of creative software, let's get in touch!
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ControlNet: Enhanced Control for Image Generation with Stable Diffusion
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🚀Blog-tastic Tuesdays🚀
— Satya Mallick (@LearnOpenCV) 4 avril 2023
ControlNet gives us more control over the image generation process when using the Img2Img method.https://t.co/VjiWZvG7wB
Our latest article discusses the architecture, training process, and different techniques for the ControlNet Stable Diffusion model.… pic.twitter.com/bNzYJESG3BBlog-tastic Tuesdays
ControlNet gives us more control over the image generation process when using the Img2Img method. https://
learnopencv.com/controlnet/ Our latest article discusses the architecture, training process, and different techniques for the ControlNet Stable Diffusion model. -
MIT’s Four-Legged Robot Plays Soccer Using Reinforcement Learning
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MIT’s four-legged robotic system now plays soccer on diverse terrains. It was trained in simulation using reinforcement learning, and uses a mixture of onboard sensing and compute to dribble: https://
bit.ly/40DEaFR -
Midjourney launches /Describe, live test with ChatGPT and GPT4
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#Midjourney just released the /Describe feature and we are testing it live → https://youtu.be/aAobYoM756s The possibilities are really huge #Midjourney5 #Midjourneyv5 #ChatGPT #GPT4
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Why Random Parallel Tasks in AI Systems Matter
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I like the idea of parallel tasks by why random? Because it’s still a toddler…?