That's true. But looking at the Llama 3 report, there's still a lot of work going into dealing with outages, recovering checkpoints during training, etc. If I recall correctly, they had like 500 interruptions. It's really hard to train a model on that scale.
MACHINE LEARNING
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Future of RAG: Predictions and Implications for AI Systems
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Predictions for the Future of RAG – Jason Liu https://
bit.ly/4hYi0ap
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Predicts Immunotherapy Success in Advanced Lung Cancer
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From a single path slide, how #AI could help predict the success of immunotherapy in patients with an advanced type of lung cancer https://
jamanetwork.com/journals/jamao
ncology/fullarticle/2828578?utm_campaign=articlePDF&utm_medium=articlePDFlink&utm_source=articlePDF&utm_content=jamaoncol.2024.5356
… @JAMAOnc -
Data Quality Foundation Before Implementing AI in Business
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The Importance Of Getting Data Right Before Using AI In Your Business
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/YZVa30sIPGx -
Enterprise MLOps and LLMOps Platforms by Abacus AI
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#Statistics & #MachineLearning #infographics from @AbacusAI Learn about their incredibly complete Enterprise #MLOps & #LLMOps Platforms and Solutions at http://
abacus.ai
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#DataScience #AI #ML #DeepLearning #DataScientists #LLMs #GenerativeAI #RAG #GenAI #VectorDB -
Understanding AI Inference: A Beginner’s Guide to Machine Learning Basics
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To be better equipped to explore the world of AI and its many applications (from language translation & text summarization to image recognition & speech synthesis), one must grasp the basics of inference.
Read our latest blog for a primer on inference. -
Training #1 AI Models for $6M: Three Parallel Futures
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When I see reports like this (suggesting that a #1 model can be trained for just $6M), it makes me envision three parallel futures: 1) Intelligence as a Utility: Cheap, abundant, and high-capability—easily replicable, much like producing fire today. 2) The Automation of
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DeepSeek-V3 Report Released on GitHub
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Forgot to link the report: https://
github.com/deepseek-ai/De
epSeek-V3/blob/main/DeepSeek_V3.pdf
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Stellar AI Model Release with Checkpoints and Detailed Report
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Congratulations on the stellar release! The model checkpoints and a detailed report – truly Christmas is here!
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DeepSeek Technical Report: 14.8T Tokens, GPT-4o Performance
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The DeepSeek Technical Report is out!! Trained on 14.8 Trillion Tokens, outperforms all open-source models, comparable to GPT-4o and Claude-Sonnet-3.5 Key contributions: > Load Balancing Strategy: Introduced an auxiliary-loss-free approach to minimize performance