How To Cut Through The Hype And Get Value From AI
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
ow.ly/5WZx30sIPG8
MACHINE LEARNING
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How To Cut Through The Hype And Get Value From AI
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Small Scale Derisks Inform Training of Larger Models
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Using learnings from small scale derisks to train larger model
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Artificial Intelligence Increasing Resource Demands Significantly
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Artificial Intelligence Is Putting Ever-Increasing Demands on Our Resources
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz -
KerasHub Generative Models Now JAX-Based with TPU Support
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All of the generative models on KerasHub run on JAX and are TPU compatible, with model parallelism built-in, so check it out
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Perplexity for LLM Evaluation: Assessing Language Model Performance
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Perplexity for LLM Evaluation https://
bit.ly/3CUFPQd
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
LLMs Spatial Reasoning Evaluation Study Findings
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I really enjoyed working with @sainingxie and his students in this study called “Thinking in Space”, which is an evaluation on how LLMs (mostly failed to) do in spatial reasoning, something so essential to human intelligence. So much more to look ahead in 2025 to push the… https://t.co/CtZWQYIIoM
— Fei-Fei Li (@drfeifei) 22 décembre 2024I really enjoyed working with @sainingxie and his students in this study called “Thinking in Space”, which is an evaluation on how LLMs (mostly failed to) do in spatial reasoning, something so essential to human intelligence. So much more to look ahead in 2025 to push the
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Python and Machine Learning Roadmap to AI Mastery
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Learn Python and Machine Learning: Your ultimate roadmap to AI mastery! Core Areas: Python Basics: Data types, loops, functions. Libraries: NumPy, Pandas, TensorFlow, Scikit-learn. ML Algorithms: Linear regression, SVM, K-means. Deep Learning: CNNs, RNNs, GANs.
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Most Important Computer Vision Papers 2024 Trends
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Presenting: The Most Important Vision Papers of 2024 as picked by @roboflow and @vikhyatk The biggest trends are: 1. Vision and are converging -> Sora and OpenSora were built with Diffusion Transformers and MagViT
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Mathematical Reasoning in Multimodal LLMs: Comprehensive Survey
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9). A Survey of Mathematical Reasoning in the Era of Multimodal LLMs – presents a comprehensive survey analyzing mathematical reasoning capabilities in multimodal large language models (MLLMs), covering benchmarks, methodologies, and challenges across 200+ studies since 2021.
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Precise Length Control in LLMs: Countdown Positional Encoding
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10). Precise Length Control in LLMs – adapts a pre-trained decoder-only LLM to produce responses of a desired length; integrates a secondary length-difference positional encoding into the input embeddings which enables counting down to a user-set response terminal length.