You can now learn Python with a focus on AI from Harvard. And it's FREE! • Graph search algorithms
• Reinforcement learning
• Machine learning
• AI principles
• How to design intelligent systems
• How to use AI in Python programs https://
pll.harvard.edu/course/cs50s-i
ntroduction-artificial-intelligence-python?delta=0
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MACHINE LEARNING
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Free Harvard AI and Python Course Now Available Online
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Machine Learning Predicts Hurricane Rapid Intensification and Decay
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Learn how researchers used #machinelearning to more accurately predict the rapid intensification and slower decay of recent hurricanes. The article contains links to code and data to create your own models. https://
blogs.mathworks.com/headlines/2023
/08/30/the-scary-combination-of-rapid-intensification-and-slower-decay-in-hurricanes/
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Natural Stupidity versus Artificial Intelligence Comparison
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Natural stupidity vs #ArtificialIntelligence Credits: @PawlowskiMario #FridayThoughts #AI #chatgpt3 #MachineLearning #ML #chatgpt #chatbot #innovation #tech #CES2023 #FutureofWork
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RLHF: Aligning AI Models with Human Preferences
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What is RLHF? In some sense, RLHF is part of that alignment process, where you tune the model to look at a bunch of human preferences.
You can show a bunch of example outputs and then let users, actual humans, decide what output is better for them, and you tune the model. -
Groq LPU System Achieves 240 Tokens Per Second with Llama-2
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Our LPU™ system is pushing the limits on LLM #inference perf again, now running Llama-2 70B at 240 tokens per sec per user! CEO @JonathanRoss321 shares more on the >2x improvement, why ultra-low latency matters, and if GPUs can still catch up. More at http://
groq.link/240tps -
Meta Releases FACET: Fairness Benchmark for Vision Models
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We’re also releasing FACET, a comprehensive benchmark dataset to evaluate fairness of models across different vision tasks involving people. It consists of 32K images, labeled by expert annotators for demographic & physical attributes.
— AI at Meta (@AIatMeta) 31 août 2023
Explore FACET ➡️ https://t.co/XWXjlY9eV7 pic.twitter.com/a3OtCiNsaSWe’re also releasing FACET, a comprehensive benchmark dataset to evaluate fairness of models across different vision tasks involving people. It consists of 32K images, labeled by expert annotators for demographic & physical attributes. Explore FACET https://
bit.ly/3syYHPy -
DINOv2 Released Under Apache 2.0 License with Dense Prediction Models
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To support innovation in computer vision, we’re making DINOv2 available under the Apache 2.0 license + releasing a collection of DINOv2-based dense prediction models for semantic image segmentation and monocular depth estimation.
— AI at Meta (@AIatMeta) 31 août 2023
Try our updated demo ➡️ https://t.co/ctwiBFWS4W pic.twitter.com/5tKU1JDSbWTo support innovation in computer vision, we’re making DINOv2 available under the Apache 2.0 license + releasing a collection of DINOv2-based dense prediction models for semantic image segmentation and monocular depth estimation. Try our updated demo https://
bit.ly/44FsfIQ -
DINOv2 License Expansion and FACET Benchmark for Vision Fairness
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Today we’re announcing two new updates in our computer vision work — a new, expanded license for our DINOv2 model and the release of FACET, a comprehensive new benchmark dataset to help evaluate and improve fairness in vision models.
— AI at Meta (@AIatMeta) 31 août 2023
More details ➡️ https://t.co/fDHYNpGrta
🧵 pic.twitter.com/dOXDWOLKSYToday we’re announcing two new updates in our computer vision work — a new, expanded license for our DINOv2 model and the release of FACET, a comprehensive new benchmark dataset to help evaluate and improve fairness in vision models. More details https://
bit.ly/3L35E1U -
Top Popular Python Projects for Various Applications
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Top #Python Projects – There are many popular #PythonProjects that are widely used in a variety of applications. By @ingliguori #Django
#TensorFlow
#PyQt
#scikitlearn
#Pygame
#NumPy
#pandas
#Flask
#OpenCV
#PyTorch #machinelearning #artificialintelligence #datascience #AI -
Delivery Hero AWS Cloud Cost Optimization Strategies
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Dive into how Delivery Hero optimizes AWS cloud costs with guest Michael Krenz. Discover their strategies from 'spot instances' to machine-learning driven CDPs and more! Listen now: https://
podcasts.bernardmarr.com/1045873/135033
37-delivery-hero-and-aws-cost-optimization-in-the-cloud
… #CloudComputing #AWS #CostOptimization @DeliveryHero @AWScloud