Using Apache Spark™ for large-scale data prep and Ray for task parallelism, teams trained and tuned 1,400+ forecasting models in under 30 minutes instead of nearly three hours — hitting ~95% CPU utilization. See the full benchmark and workflow: https://
databricks.com/blog/superchar
ging-ai-model-building-data-and-task-parallelism-ray-and-databricks?utm_source=twitter&utm_medium=organic-social
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MACHINE LEARNING
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Apache Spark and Ray accelerate 1400 forecasting models training
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PyTorch vs JAX: Framework Comparison for Deep Learning
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more of this energy for pytorch gives you jax. soo….
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7 tips everyone ignores about ChatGPT
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You think you know everything about #ChatGPT? Well no, here are 7 tips that everyone ignores → https://youtu.be/SJTQufPavHY #ChatGPT5 #GPT5 #GPT51
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SAS and Quasar Transform Manufacturing with Predictive Analytics
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SAS and Quasar are driving the future of AI in manufacturing. Predictive analytics is powering smarter, more efficient operations.
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Machine Learning Community Unable to Handle Truth
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Clearly the machine learning community can’t handle the truth. Good to see that @MrEwanMorrison can.
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LLMs World Models Gap: Ongoing Critique and Arguments
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among other places on facebook immediately after my deep learning is hitting a wall paper where i laid out the arguments in question, and also for years here on twitter, eg in 2019 on X calling my critique that LLMs lacked world models a “rear-guard action” see my recent
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Matrix Types and Operations in Python Programming
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Types of matrices & their operations, v/
@PythonPr
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Deep Learning Hitting A Wall: March 2022 Analysis
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3 years; March 2022. in the essay “Deep Learning is Hitting A Wall”
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YOLOv8 and YOLOv11 Computer Vision Models Released
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New CV model highlights:
• Yolov8m-seg: instance segmentation
• Yolov8m-pose: keypoints
• Oriented bounding box detection (Yolo8 & Yolo11 variants)
• DenseNet-121, RegNet family for classification -
Neurosymbolic Hybrids: The Complete Hybrid AI Approach
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um, that is the whole point of neurosymbolic hybrids