Large Language Models (LLMs)
A Large Language Model (LLM) is an advanced Artificial Intelligence system trained on massive amounts of text data. It understands and generates human-like language using deep learning techniques. LLMs can answer questions, write content, translate languages, and assist in coding.
A Large Language Model (LLM) is a type of AI model designed to process, understand, and generate natural language text.
It is built using deep learning architectures, mainly Transformers, which help the model understand context and relationships between words.
LLMs are trained on huge datasets containing books, articles, websites, and conversations.
During training, the model learns grammar, sentence structure, facts, reasoning patterns, and language semantics.
These models can perform tasks like text generation, summarization, translation, question answering, and coding assistance.
What You'll Learn
LLM architecture deep dive
LLM Architecture Deep Dive: From Tokens to Transformers
A comprehensive, story-driven technical tutorial covering every layer of how Large Language Models …
53 minCreating LLM
A Large Language Model (LLM) is a neural network with billions of parameters trained on massive tex…
50 minBuilding Your Own Large Language Model
A hands-on, step-by-step tutorial for building a GPT-style language model from scratch using Python…
45 minPrompt Engineering: Zero-Shot, Few-Shot, and Chain-of-Thought
A comprehensive, story-driven tutorial covering the three foundational prompt engineering technique…
40 minHallucination, Bias & Safety in Large Language Models
A comprehensive deep-dive into the three core failure modes of Large Language Models: hallucination…
55 minParameter-Efficient Fine-Tuning
A comprehensive, story-driven tutorial on Parameter-Efficient Fine-Tuning (PEFT) — covering LoRA, P…
56 minLLM Evaluation & Benchmarks: GLUE, SuperGLUE, and MMLU
A comprehensive, example-driven tutorial covering the three most important NLP benchmark families —…
53 minOllama Tutorial: Run Local LLMs with Python
Learn how to install Ollama, understand what billion-parameter models really mean, and use local LL…
37 minComparing LLM APIs: OpenAI vs Anthropic vs Gemini vs Open Source
A practical, code-first comparison of the four major LLM API families — OpenAI (GPT-4o, o3), Anthro…
46 minVector Databases Pinecone vs Weaviate vs Chroma vs pgvector
A comprehensive, example-driven tutorial comparing the four most important vector databases for LLM…
40 min