75daysofllm

Naresh Nishad

Nov 20

Day 37: Named Entity Recognition (NER) with LLMs

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3 min read

Naresh Nishad

Nov 18

Day 36: Text Classification with LLMs

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2 min read

Naresh Nishad

Nov 15

Day 35 - BERT: Bidirectional Encoder Representations from Transformers

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2 min read

Naresh Nishad

Nov 14

Day 34 - XLNet: Generalized Autoregressive Pretraining for Language Understanding

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2 min read

Naresh Nishad

Nov 13

Day 33 - ALBERT (A Lite BERT): Efficient Language Model

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2 min read

Naresh Nishad

Nov 12

Day 32 - Switch Transformers: Efficient Large-Scale Models

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2 min read

Naresh Nishad

Nov 11

Day 31: Longformer - Efficient Attention Mechanism for Long Documents

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3 min read

Naresh Nishad

Nov 9

Day:30 Reformer: Efficient Transformer for Large Scale Models

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3 min read

Naresh Nishad

Nov 8

Day 29: Sparse Transformers: Efficient Scaling for Large Language Models

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3 min read

Naresh Nishad

Nov 6

Day 27: Regularization Techniques for Large Language Models (LLMs)

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2 min read

Naresh Nishad

Nov 5

Day 26: Learning Rate Schedules

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2 min read

Naresh Nishad

Oct 29

Day 22: Distributed Training in Large Language Models

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3 min read

Naresh Nishad

Oct 28

Ethical Considerations in LLM Development and Deployment

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1

2 min read

Naresh Nishad

Oct 27

Retrieval-Augmented Generation (RAG) in LLMs

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3 min read

Naresh Nishad

Nov 7

Day 28: Model Compression Techniques for Large Language Models (LLMs)

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1

2 min read

Naresh Nishad

Oct 16

Exploring ELECTRA - Efficient Pre-training for Transformers

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1

4 min read

Naresh Nishad

Oct 2

Day 14 of GPT: Deep Dive into Generative Pre-trained Transformers

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3 min read

Naresh Nishad

Nov 4

Day: 25 Optimizer Algorithms for Large Language Models (LLMs)

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3 min read

Naresh Nishad

Sep 30

BERT: Revolutionizing Natural Language Processing

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3 min read

Naresh Nishad

Nov 3

Day 24: Gradient Accumulation

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4

2 min read

Naresh Nishad

Sep 28

Understanding Self-Attention and Multi-Head Attention in Deep Learning

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4 min read

Naresh Nishad

Oct 5

GPT-2 and GPT-3: The Evolution of Language Models

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1

4 min read

Naresh Nishad

Oct 11

T5 (Text-to-Text Transfer Transformer)

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1

4 min read

Naresh Nishad

Oct 9

Prompt Engineering

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3

2

3 min read

Naresh Nishad

Oct 8

Few-shot Learning: Teaching AI with Minimal Data

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1

5 min read

Naresh Nishad

Sep 27

Understanding the Attention Mechanism in Natural Language Processing

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1

3 min read

Naresh Nishad

Sep 26

Long Short-Term Memory (LSTM) Networks

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4 min read

Naresh Nishad

Sep 25

Understanding Recurrent Neural Networks (RNNs)

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3 min read

Naresh Nishad

Oct 2

Fine-tuning BERT: Unlocking the Power of Pre-trained Language Models

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1

2

4 min read

Naresh Nishad

Sep 29

Positional Encoding: Adding Sequence Awareness to Transformers

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1

4 min read

Naresh Nishad

Sep 29

Transformer Architecture: Revolutionizing NLP

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2

3 min read

Naresh Nishad

Sep 24

Backpropagation and Optimization in Neural Networks

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3 min read

Naresh Nishad

Sep 23

Understanding Neural Networks: A Detailed Exploration

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5 min read

Naresh Nishad

Sep 22

Detailed Introduction to Word Embedding

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4 min read

Naresh Nishad

Sep 21

Text Preprocessing for NLP

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3 min read

Naresh Nishad

Sep 20

Introduction to NLP

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1

3 min read