This is what monitoring the quality of your data and predictions looks like. Machine learning monitoring is hard. Really hard! And that's exactly what we do. Stay tuned! We are building the best end-to-end MLOps system out there!
MACHINE LEARNING
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Image Segmentation Models That Return JSON Format
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ah, that model's not maintained by us. there are some image segmentation models that return JSON though e.g.
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ChatGPT removes similar strings, suggesting hidden control codes
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The fact that ChatGPT removes not just this string, but any string formatted similarly, suggests there exist other control codes by ChatGPT, e.g. to mark the boundaries between user input and prior model output within the prompt context.
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The string ” represents end of generation in GPT-3 tokenizer
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The string “” is handled specially by GPT-3’s tokenizer to represent the end of a generation. Whenever this token is emitted, the model stops talking immediately:
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EXIF Metadata in Images: What You Need to Know
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EXIF Simplified
— Satya Mallick (@LearnOpenCV) 5 décembre 2022
There's a lot of Metadata hidden in images in the form of EXIF. Do you need to worry?
Watch our video to know more: https://t.co/WBxEAHr3IG #learnopencv #opencv #computervision #artificialintelligence #deeplearning #machinelearning #exif #imagedata #videodata pic.twitter.com/dNRjhpFoIjEXIF Simplified
There's a lot of Metadata hidden in images in the form of EXIF. Do you need to worry?
Watch our video to know more: https://
youtube.com/watch?v=jzSC4J
WhjjU
… #learnopencv #opencv #computervision #artificialintelligence #deeplearning #machinelearning #exif #imagedata #videodata -
Tokenization issue in counting letters of word ‘elementary’
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Yes. The correct response to: How many letters are in “elementary”? …really should be: Due to tokenization issues you can read about [here], I need to count these letters one at a time: e1-l2-e3-m4-e5-n6-t7-a8-r9-y10. Thus we see ‘elementary’ has 10 letters.
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Explanation of Behavior Cloning and Reinforcement Learning
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Yes, this explains how it works. The primary method for training this model is behavior cloning, and I explain what it is along with reinforcement learning (RL) and its limitations. And I don’t mention bias at all, sorry.
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Multimodal Learning for Objective Representation
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To address these issues, it is necessary to learn a vast amount of multimodal information (sound, image, text, etc.) using A LOT of data, in the hope of achieving the most objective representation of the world possible—something that is nearly impossible, yet still feasible with an 80-20 rule.
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Reinforcement Learning for Machines
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This type of machine is trained using, in part, Reinforcement Learning algorithms. Essentially, the computer trains in simulations to learn how to solve the given problem.
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Join Discord Event Fine-Tune Speech Recognition Models
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Are you interested in joining the event and fine-tuning your own models? Join our discord server and help democratise Speech Recognition across languages! https://
hf.co/join/discord