Day88 Deep Learning Lecture Review - Lecture 10-12
Deep Learning & Numerical Precision(Floating Point), Hardware Considerations, and Distributed Model Training
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Day87 Deep Learning Lecture Review - Lecture 8 (2) & 9
LLMs - Speeding Up LLMs (Grouped Query Attention, KV Caches, MoE, and DPO)
Day86 Deep Learning Lecture Review - Lecture 8 (1)
LLMs- Generating Texts, Positional Encoding, and Fine-Tuning LLMs (LoRA)
Day85 Deep Learning Lecture Review - Lecture 7
LLMs - Perplexity, Tokenizers, Data Cleaning, and Embedding Layer
Day75-84 Introduction to Natural Language Processing using Deep Learning
Basic Machine Learning & Deep Learning, Word Embedding, CNNs, RNNs, LSTM and Transformer
Day74 Deep Learning Lecture Review - Lecture 6
Large Language Model - BERT, GPT, and GPT-2, 3 & 4
Day73 Deep Learning Lecture Review - Lecture 5
Transformers and Foundation Models: GELU, Layer Norm, Key Concepts & Workflow
Day72 Deep Learning Lecture Review - Lecture 4
Brief Explanation of Basic Algebra and Machine Learning
Day71 DL Review - Natural Language Processing (NLP)
Primary Goals, Common Tasks, and Deep Learning NLP
Day70 DL Review - Transformer
Transformer Architecture, How the Models Are Different, and Q,K,V in Self-Attention