DeepSeek is built on OpenAI Models...Big Revelation by DeepSeek Model

RAG (Retrieval Augmented Generation) Fundamentals, WHY, WHAT & HOW RAG ?

Traditional V/S LLM Based Text Classification, which one is better ?

What, Why & How about Confusion Matrix

Prompt Engineering Technique: Chain-Of-Thought Prompting , Enabling Reasoning Ability of LLMs

Prompt Engineering Technique: Few-Shot Prompting

Prompt Engineering Technique: One-Shot Prompting

Prompt Engineering Technique: Zero-Shot Prompting

Prompt engineering Strategy 2: Breaking Complex Task into Simpler Sub-tasks , Log analysis using LM

Prompt engineering Strategy 1: Writing Clear Instructions

What is Prompt Engineering ?

Why prompt engineering ?

Prompt engineering : Introduction of topics

What is OpenAI's Sora ? How Sora is Trained ? Safty measure in Sora ? Text-to-Video Generation

What are LLM Types | What is Foundational LLM ,Fine-tuned LLM & Instruction-tuned LLM

How Large is #llm (Large Language Model)

What is #llm and Why #llm is LARGE ? | All about Large Language Model

What is machine learning(ML) models | How ML models are generated

Implementing Question answering system using RAG(retrieval augmented generation)

What are available pre-trained Embdding models | Open Source Embedding models | Embedding model repo

How Embedding Vector is generated | Pre-training Embedding Models | Learning Word2Vec and Skip-gram

Embedding Concept | How Language Model Learns the Complexity of Human Language through Embedding

Text-Data Pre-processing pipeline for Tokenization | How text data gets converted into TOKENS

WHY Human Language is difficult for Machine or Natural Language Processing?

Natural Language Processing Specialization : Zero to Hero in NLP, LLM & Generative AI