Python Developer Tooling Handbook https://
buff.ly/RovPYrA
#AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Python Developer Tooling Handbook for AI and Machine Learning
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YourBench: Open-source AI Model Evaluation and Benchmarking Platform
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Demo: https://
huggingface.co/spaces/yourben
ch/demo
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Advanced usage: https://
huggingface.co/spaces/yourben
ch/advanced
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Github: https://
github.com/huggingface/yo
urbench
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Paper: https://
huggingface.co/papers/2504.01
833
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GPT-5 announced: an integrated multimodal model coming soon
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BREAKING NEWS!! GPT-5 is announced in the coming months. And apparently it will be a model that directly integrates all modalities.
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Understanding AI behavior through image differences and mathematics
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it's not trying to make your images look like the ones you chose it's looking at the differences between the images and trying to understand how that effects your behavior – trust the math!
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Identifying Subtle Quality Indicators Across AI Decisions
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it's more about which of the two images is better vs which one is good, it's trying to get a sense of what subtle things might indicate goodness across many decisions
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Deep Reinforcement Learning Research at Google Recognized
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All the best in everything you do in the future, @agarwl_ ! You've done excellent research work at Google. I particularly enjoyed the work (and title!) of "Deep Reinforcement Learning at the Edge of the Statistical Precipice".
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CSE 291: AI Agents Course at UCSD
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CSE 291 – AI Agents – UCSD CSE https://
buff.ly/QZcn4I5
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
CURIE: Scientific Long-Context Understanding Benchmark for LLMs
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We introduce CURIE, a scientific long-Context Understanding, Reasoning and Information Extraction benchmark to measure the potential of large language models in scientific problem-solving and assisting scientists in realistic workflows. Learn more at https://
goo.gle/4jah5Ds -
Machine Learning in Payment Processing: High-Velocity Decision Testing
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Payment processing is an unusually fruitful testbed for machine learning, because one is making very high-velocity decisions and being graded on them objectively very quickly: microseconds later by e.g. issuing banks, days to weeks later in the case of waiting for a fraud report.
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Stripe’s 15 Years AI/ML Experience and AI Economy Insights
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This week on Complex Systems I talked with Emily Sands about Stripe's 15 year experience with AI/ML and current observations on the AI economy. I think you'll really enjoy the conversation.