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Large Language Models
Learn Large Language Models as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts5 Articles1h 25m
Overview
Learn Large Language Models as a connected topic across chapters, concepts, simulations, and interview reasoning.
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Llm
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5 matched articles
Article 1Chain of Thought Prompting: Teaching LLMs to Think Step by StepTLDR: Chain of Thought (CoT) prompting tells a language model to reason out loud before answering. By generating intermediate steps, the model steers itself toward correct conclusions — turning guessw27 min
Article 2A Guide to Pre-training Large Language ModelsTLDR: Pre-training is the phase where an LLM learns "Language" and "World Knowledge" by reading petabytes of text. It uses Self-Supervised Learning to predict the next word in a sentence. This creates15 min
Article 3Large Language Models (LLMs): The Generative AI RevolutionTLDR: Large Language Models predict the next token, one at a time, using a Transformer architecture trained on billions of words. At scale, this simple objective produces emergent reasoning, coding, a14 min
Article 4LLM Terms You Should Know: A Helpful GlossaryTLDR: The world of LLMs has its own dense vocabulary. This post is your decoder ring — covering foundation terms (tokens, context window), generation settings (temperature, top-p), safety concepts (ha14 min
Article 5Advanced AI: Agents, RAG, and the Future of IntelligenceTLDR: Large Language Models are brilliant "brains in a jar." Retrieval-Augmented Generation (RAG) hands them a constantly refreshed memory, while AI Agents give them tools to act in the world. Combine15 min