MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models Lu et al.: https://
arxiv.org/abs/2310.02255 #Artificialintelligence #DeepLearning #MachineLearning
MACHINE LEARNING
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MathVista: Evaluating Math Reasoning in Visual Contexts
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Random Seed Reset Issue During Model Training Epochs
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every configuration of hyperparameters does this haha. i'm thinking maybe it resets the random seed every epoch? or somehow is shuffling poorly?
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Improving Data Shuffling Strategy Across Training Epochs
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can i just shuffle better somehow? I assumed this is what happens when you reuse the same shuffling bt epochs
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Stable Code 3B Outperforms Larger Models on Edge Devices
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Stable Code 3B outperforms code models of a similar size and matches CodeLLaMA 7b performance despite being 40% of the size. This makes it ideal for running on edge devices to ensure privacy and drive better dev experiences
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HF Trainer Automatic Shuffling for Model Training
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i’m just using HF trainer! it’s supposed to shuffle for me
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12 Best Practices for Distilling Smaller Language Models from GPT
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Ready to graduate from #OpenAI to #opensource? Check out our definitive list of 12 best practices for distilling smaller language models from #GPT.
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Investigating Staircase Loss Curves in HuggingFace Trainer Training
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has anyone seen these staircase loss curves before and really figured out what's going on? my two leading theories are that the loss is getting averaged somewhere behind the scenes (don't know where) and that the data isn't shuffled between epochs. i'm using huggingface trainer.
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Experimentation Remains Crucial for Model Tuning and Sequencing
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4. Experimentation Still Crucial Dmitry cautions against over relying on current best practices, which change rapidly. Experimentation remains crucial to find the right tuning and sequencing of models for each use case.
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Generative AI for Spear Phishing Detection Webinar
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Join this webinar on January 30 at 9 a.m. PT to learn how #generativeAI can be used to train a model to detect spear phishing emails faster and more accurately. Register here: https://
nvda.ws/4aRW0ds -
YOLO Loss Functions: SIoU and Focal Loss Implementation
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🚀 Blog-tastic Tuesdays 🚀https://t.co/4RYDxIUbNv
— Satya Mallick (@LearnOpenCV) 16 janvier 2024
Our latest read delves into the various YOLO loss functions integral to YOLO’s evolution, focusing on their implementation in PyTorch. Check out the full blog to learn more!#ai #computervision #deeplearning #PyTorch pic.twitter.com/sXLvi5GsrBBlog-tastic Tuesdays https://
learnopencv.com/yolo-loss-func
tion-siou-focal-loss/
… Our latest read delves into the various YOLO loss functions integral to YOLO’s evolution, focusing on their implementation in PyTorch. Check out the full blog to learn more! #ai #computervision #deeplearning #PyTorch