Some people asked me about a resource for learning about Transformers.
Here's a good one I am sharing again -- it covers just about everything you need to know.
brandonrohrer.com/transformers
Amazing stuff. It's totally worth your weekend.
https://t.me/CodeProgrammer
Here's a good one I am sharing again -- it covers just about everything you need to know.
brandonrohrer.com/transformers
Amazing stuff. It's totally worth your weekend.
#Transformers #DeepLearning #NLP #AI #MachineLearning #SelfAttention #DataScience #Technology #Python #LearningResource
https://t.me/CodeProgrammer
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how transformers remember facts
#Transformers #NLP #LLM #MachineLearning #DeepLearning #AI #ArtificialIntelligence #TechInnovation #DataScience #NeuralNetworks
https://t.me/DataScienceM
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course lecture on building Transformers from first principles:
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0
The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0
The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.me/CodeProgrammerβ
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Self-attention in LLMs, clearly explained
#SelfAttention #LLMs #Transformers #NLP #DeepLearning #MachineLearning #AIExplained #AttentionMechanism #AIConcepts #AIEducation
βοΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBkπ± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?
Basic Concepts (Q1βQ15)
Architecture & Components (Q16βQ30)
Attention & Transformers (Q31βQ45)
Training & Optimization (Q46βQ55)
Advanced & Real-World Applications (Q56βQ65)
Answer Key & Explanations
#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep
βοΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBkπ± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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#LSTMs made AI remember before #Transformers took over
hereβs the 15-step by-hand βοΈ guide
you can download: https://www.byhand.ai/p/26-lstm
https://t.me/CodeProgrammer
hereβs the 15-step by-hand βοΈ guide
you can download: https://www.byhand.ai/p/26-lstm
https://t.me/CodeProgrammer
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