we gave up when we realized openai was likely training on our examples, making it really hard do careful science
RESEARCH
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Strategic Synthetic Data Generation Beyond Random Sampling
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Synthetic data is a broad term. I think the paper looks at a very extreme case. One can blindly generate synthetic data by sampling from an upstream model. But yeah, I can see how being more strategic than that can actually be beneficial.
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Questioning the Curse of Recursion Paper’s Future Relevance
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For more context, since I didn't see a link in the article, are we talking about the "The Curse of Recursion: Training on Generated Data Makes Models Forget" paper? (
https://
arxiv.org/abs/2305.17493) And the claim is that the findings in this paper don't / won't hold in the future? -
Essential Books on Artificial Intelligence for Data Science Professionals
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A List of Must Read Books on Artificial Intelligence! By @gp_pulipaka Via @ingliguori #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
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Von Neumann’s EDVAC Paper: Foundation of Modern Computing
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#otd in 1945 John von Neumann published the EDVAC paper, which became the technological basis for all modern computers & included decisions like using binary to represent numbers: http://
bit.ly/2LT2qg7 (v/
@Forbes
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Nathan Benaich discusses AI landscape on Cerebras Podcast
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Nathan's newsletters are required reading in AI. Now listen to him on our podcast!
— Cerebras (@cerebras) 30 juin 2023
In this episode of The Cerebras Podcast we chat with @nathanbenaich, founder and general partner of Air Street Capital and co-author of the State of AI Report
Link: https://t.co/Acpf714LAC pic.twitter.com/Fx9Qdn7pXVNathan's newsletters are required reading in AI. Now listen to him on our podcast! In this episode of The Cerebras Podcast we chat with @nathanbenaich
, founder and general partner of Air Street Capital and co-author of the State of AI Report Link: https://
hubs.li/Q01WpdSH0 -
Numbers versus representation in AI systems
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The core of the argument might be number vs representation of the number
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Image-to-Image Generation Using Depth2img Pre-Trained Models
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Image-to-Image Generation Using depth2img Pre-Trained Models: Introduction Hugging face has provided different means of carryout image-to-image generation using pre-trained models and other available libraries. This article will generate new images from… https://
analyticsvidhya.com/blog/2023/05/i
mage-to-image-generation-using-depth2img-pre-trained-models/?utm_source=dlvr.it&utm_medium=twitter
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FastSpeech2 Vocoder Inference Debugging: Tensor Dimension Error
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Running inference on an assortment of FastSpeech2 variants with a new vocoder.. after 3 hours of sifting through the stack trace, realised that I forgot to `unsqueeze` my input vector! *cries in torch*
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Essential Unsupervised Learning Concepts Explained
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Check out the detailed blog using the link below and make sure you follow on Medium to stay updated https://
medium.com/@avikumart_/mu
st-know-concepts-of-an-unsupervised-learning-9362bbe2e01a
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