Topic
Llm
Learn Llm as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts67 Articles20h 5m
Overview
Learn Llm as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Ai
Python
Ai Agents
Langchain
Learning Path in this Topic
Series that contain articles from Llm. Select a path to filter the article list.
Articles
67 matched articles
Article 1Fine-Tuning LLMs with LoRA and QLoRA: A Practical Deep-DiveTLDR: LoRA freezes the base model and trains two tiny matrices per layer — 0.1 % of parameters, 70 % less GPU memory, near-identical quality. QLoRA adds 4-bit NF4 quantization of the frozen base, enab31 minArticle 2Build vs Buy: Deploying Your Own LLM vs Using ChatGPT, Gemini, and Claude APIsTLDR: Use the API until you hit $10K/month or a hard data privacy requirement. Then add a semantic cache. Then evaluate hybrid routing. Self-hosting full model serving is only cost-effective at > 50M 31 min
Article 3Fine-Tuning LLMs: The Complete Engineer's Guide to SFT, LoRA, and RLHFTLDR: A pretrained LLM is a generalist. Fine-tuning makes it a specialist. Supervised Fine-Tuning (SFT) teaches it your domain's language through labeled examples. LoRA does the same with 99% fewer tr30 min
Article 4Chain 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 5LLM Hallucinations: Causes, Detection, and Mitigation StrategiesTLDR: LLMs hallucinate because they are trained to predict the next plausible token — not the next true token. Understanding the three hallucination types (factual, faithfulness, open-domain) plus the30 min
Article 6Sparse Mixture of Experts: How MoE LLMs Do More With Less ComputeTLDR: Mixture of Experts (MoE) replaces the single dense Feed-Forward Network (FFN) layer in each Transformer block with N independent expert FFNs plus a learned router. Only the top-K experts activat27 minPage 1 of 12