Pretrain Vision and #LLMs (Large Language Models) in #Python — Techniques for building & deploying foundation models on #AWS: http://
amzn.to/3pT9seD via @PacktPublishing ————
#AI #MachineLearning #DeepLearning #MLOps #BigData #DataScience #NLProc #ComputerVision #DataScientists
RESEARCH
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Pretraining Vision and LLMs in Python on AWS
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Master NLP: From Foundations to Large Language Models
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Mastering #NLProc from Foundations to #LLMs — Apply Advanced NLP Techniques to Solve Real Business Problems: https://
amzn.to/3TawZDK (
@PacktPublishing release May 9. Pre-order now for price guarantee.)
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#DataScience #GenerativeAI #AI #MachineLearning #DeepLearning #GenAI -
Synthetic Data for Machine Learning: Book Purchase with Free PDF
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Synthetic Data for #MachineLearning: http://
amzn.to/42g5wmM
[Purchase of book includes free PDF eBook copy]
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#AI #DeepLearning #DataScience #BigData #NLProc #ComputerVision #DataStrategy #DataScientists #PredictiveAnalytics #Analytics #DataInnovation -
Advanced Deep Learning with Python Guide
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Advanced #DeepLearning with #Python: http://
amzn.to/3FTiwTe via @PacktPublishing ———
#BigData #DataScience #AI #Coding #DataScientists #MachineLearning #NeuralNetworks #ComputerVision #NLProc #GANs #TensorFlow #PyTorch -
Quick Start Guide to Large Language Models Strategies and Best Practices
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Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
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#BigData #DataScience #AI #NLProc #NeuralNetworks #DeepLearning #MachineLearning #Algorithms -
Deep Learning Applications for Physics Research and Scientific Discovery
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#DeepLearning for #Physics Research: https://
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#DataScientists #AI #MachineLearning #NeuralNetworks #ComputerVision #ObjectDetection #NLProc #DataScience #BigData #ResearchData -
DMC Improves Transformer Inference Speed Through Context Compression
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when contexts are long, attending to every single token in the past feels wasteful (and not at all how human brains work). feels like a natural setting for compression… DMC seems like a huge improvement in transformer inference speed — congrats to the authors!
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Stanford Seeks Postdoctoral Researchers in Human-Centered AI
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Are you interested in exploring human-centered AI research? We are seeking postdoctoral applicants from research areas spanning theoretical foundations, systems, software, applications, design, and social impact. Apply by March 20: https://
stanford.io/3Ti16rE -
Python and Data Science Content Sharing Journey Complete
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet to help this reach more people.
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Eigenvectors and Principal Components for Data Dimensionality Reduction
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Eigen vectors helps in identifying the directions of highest variance in the data, which are then used to construct principal components. These principal components allows you to represent the data in a lower-dimensional while saving as much meaningful information as possible.