Articles by Tag #75daysofllm
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Day 49: Serving LLMs with ONNX Runtime
Introduction Serving Large Language Models (LLMs) efficiently is crucial for real-world...
Understanding Self-Attention and Multi-Head Attention in Deep Learning
Introduction Self-attention and multi-head attention are fundamental concepts in modern...
Day 37: Named Entity Recognition (NER) with LLMs
Introduction Named Entity Recognition (NER) is a crucial Natural Language Processing (NLP)...
Prompt Engineering
Introduction As part of my 75-day LLM challenge, I’ve been diving into different concepts...
Exploring ELECTRA - Efficient Pre-training for Transformers
Introduction As part of my #75DaysOfLLM, today I explored ELECTRA, a groundbreaking model...
Retrieval-Augmented Generation (RAG) in LLMs
Introduction to Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG)...
Day 36: Text Classification with LLMs
Introduction Text classification is a fundamental NLP task where we assign categories or...
Day 43: Evaluation Metrics for LLMs
Introduction Evaluating the performance of Large Language Models (LLMs) is a critical step...
Transformer Architecture: Revolutionizing NLP
Introduction to Transformer Architecture The Transformer was introduced in the 2017 paper,...
Fine-tuning BERT: Unlocking the Power of Pre-trained Language Models
Introduction As a part of the 75 Days challenge today we explore BERT, BERT (Bidirectional...
Day 40: Constrained Decoding with LLMs
Introduction Constrained Decoding is a powerful technique in NLP that ensures generated...
Day 48: Quantization of LLMs
Introduction Quantization is a powerful technique for optimizing the deployment of Large...
Day 28: Model Compression Techniques for Large Language Models (LLMs)
Introduction As large language models (LLMs) grow in size, they demand more memory,...
Day 39: Summarization with LLMs
Introduction Text Summarization is an essential NLP task where a model condenses long...
Day 50: Building a REST API for LLM Inference
Introduction Large Language Models (LLMs) like GPT and BERT have immense potential, but...
T5 (Text-to-Text Transfer Transformer)
Introduction: As part of my 75-day learning journey into LLM, today's focus is on the T5...
Day 45: Interpretability Techniques for LLMs
Introduction As Large Language Models (LLMs) grow increasingly powerful, understanding...
Day: 25 Optimizer Algorithms for Large Language Models (LLMs)
Introduction Training large language models (LLMs) effectively requires selecting the...
Day 47: Model Compression for Deployment
Introduction Deploying Large Language Models (LLMs) in real-world applications often...
Understanding the Attention Mechanism in Natural Language Processing
Introduction In recent years, attention mechanisms have become the cornerstone of modern...
Day 29: Sparse Transformers: Efficient Scaling for Large Language Models
Introduction As large language models (LLMs) continue to grow, their computational and...
Day 38: Question Answering with LLMs
Introduction Question Answering (QA) is a fascinating NLP task where a model answers...
Introduction to NLP
Day 1 in Journey of learning LLM Introduction: Welcome to the World of NLP Natural...
Day 31: Longformer - Efficient Attention Mechanism for Long Documents
Introduction As large language models continue to be applied to tasks involving lengthy...
Day 22: Distributed Training in Large Language Models
Introduction to Distributed Training As models become larger and datasets grow more...
Positional Encoding: Adding Sequence Awareness to Transformers
Introduction As part of my 75-day learning journey into deep learning and NLP, I’m...
Ethical Considerations in LLM Development and Deployment
Introduction As language models (LLMs) continue to evolve, their impact on society grows...
GPT-2 and GPT-3: The Evolution of Language Models
Introduction to GPT Models As a part of my 75-day challenge, today we will explored, The...
Day 46: Adversarial Attacks on LLMs
Introduction As Large Language Models (LLMs) become increasingly pervasive, understanding...
Day 52: Monitoring LLM Performance in Production
Introduction Deploying Large Language Models (LLMs) is only half the battle. Once in...