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Exploring the fascinating world of algorithms, data structures, and software engineering through clear explanations and practical examples.
New to LLM Engineering?
Read these foundational posts in order to build a strong mental model before diving into advanced topics.
View full series- 114 min
Natural Language Processing (NLP): Teaching Computers to Read
From Bag of Words to Transformers. A history of how machines learned to understand human language.
- 214 min
Large Language Models (LLMs): The Generative AI Revolution
From GPT-3 to GPT-4. How scaling up simple text prediction created emergent intelligence.
- 315 min
Advanced AI: Agents, RAG, and the Future of Intelligence
Is an LLM a brain in a jar? To make it truly useful, we need to give it access to the world. This guide explains RAG and Agents.
- 413 min
LLM Terms You Should Know: A Helpful Glossary
A dictionary for the language of Large Language Models. This guide decodes the essential jargon, from Attention to Zero-Shot.
- 513 min
Variational Autoencoders (VAE): The Art of Compression and Creation
Before diffusion models became mainstream, VAEs showed how to compress and generate data from a smooth latent space.
Featured Article
Machine Learning Fundamentals: A Beginner-Friendly Guide to AI Concepts
What is the difference between AI, ML, and Deep Learning? We break down the jargon and explain Supervised vs. Unsupervised learning.
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Topic Clusters
Modernization Architecture Patterns: Strangler Fig, Anti-Corruption Layers, and Modular Monoliths
Integration Architecture Patterns: Orchestration, Choreography, Schema Contracts, and Idempotent Receivers
Event Sourcing Pattern: Auditability, Replay, and Evolution of Domain State
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Abstract Algorithms
@abstractalgorithms
Exploring the fascinating world of algorithms, data structures, and software engineering through clear explanations and practical examples.