5. Accelerate Data Science Workflows with Zero Code changes https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:DLI+T-DS-03+V1
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MACHINE LEARNING
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Accelerate Data Science Workflows with Zero Code Changes
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Building A Brain in 10 Minutes NVIDIA Course
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2. Building A Brain in 10 Minutes https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:DLI+T-FX-01+V1
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Free Nvidia Courses on Generative AI, Computer Vision and RAG
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Free courses from Nvidia on Generative AI Foundations, Computer Vision and RAG:
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Latest Machine Learning Research: Weak Supervision and Information Theory
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Stay informed about the latest machine learning research with the University of Wisconsin's Frederic Sala and Snorkel AI's Paroma Varma, co-founder and Head of Machine Learning. https://
buff.ly/4dnVHIz #machinelearning #informationtheory #weaksupervision #AI #education" -
Virginia Tech AutoDrive Uses Simulation for Autonomous Vehicle Development
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Learn how the Virginia Tech AutoDrive team used simulation to replicate real-world scenarios and gained valuable insights from the process http://
spr.ly/6019jT9Yc #AutoDrive #ADAS #Simulink -
DistBelief Distributed Training System Framework Comparison
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DistBelief is the distributed training system used for that paper & 1000s of other things. Your statement is equivalent to implementing an unsupervised algorithm in PyTorch, seeing modest results (like 70% relative improvement in SoTA on Imagenet 20k) & declaring PyTorch a dead
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Neural Network Training Scaled 30X Beyond Previous Literature Records
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This system successfully scaled up training of a neural net 30X larger than previously reported in the literature. You're somehow not very knowledgeable & very opinionated about it, referring to it as a "dead end". Even your "Apologies for the confusion" tweet is incorrect.
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Backpropagation Support in Neural Networks ICML Paper
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It supported backprop from day one, so I'm not sure where you got that Idea. From the ICML paper you mention above:
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Full RAG Application Code for GitHub Repository Chat
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Full RAG Application Code to Chat with GitHub Repo
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Build LLM RAG App Chat GitHub 30 Lines Python
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Build a LLM app with RAG to chat with GitHub in just 30 lines of Python Code (step-by-step instructions):