[2026-10-11]
Jev and AI Decision Models: A Practical Getting Started Guide— @dylan >>
Learn what Jev and AI decision models do, compare hosted and local alternatives, and build your first workflow with practical examples and research resources.
Machine-learning
9 posts
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POSTS
(9/9)[2026-04-22]
AEO and GEO: The Complete Guide to Getting Traffic from AI Search in 2026— @dylan >>
Answer Engine Optimization and Generative Engine Optimization are the new SEO frontier. Learn how to get your site cited by ChatGPT, Perplexity, and Google AI Overviews with JSON-LD, llms.txt, robots.txt, and content restructuring backed by peer-reviewed research.
[2026-04-21]
RAG Techniques Compared: A Practical Guide to Retrieval Augmented Generation in 2026— @dylan >>
ragretrieval-augmented-generationvector-searchembeddingsllmaisemantic-searchmachine-learning·18 min read
Compare naive RAG, advanced RAG, agentic RAG, and GraphRAG architectures with real benchmarks, costs, and practical recommendations for production systems.
[2026-04-14]
How Large Language Models Work: The Complete Technical Guide to Transformers, Training, and Inference (2026)— @dylan >>
A deep technical guide to how LLMs actually work — from the transformer architecture and attention mechanism to tokenization, training at scale, KV caching, inference acceleration, fine-tuning, and the modern innovations powering GPT-4o, Claude, Llama 3, and beyond. Backed by 30+ research papers.
[2026-04-05]
LLM Model Names Decoded: A Developer's Guide to Parameters, Quantization & Formats— @dylan >>
A practical guide to decoding LLM model names — what B, IT, GGUF, Q4_K_M, MoE, and every other suffix means. Includes comparison tables, links to the best research resources, and real examples from Gemma 4, Qwen 3.5, and Llama 4.
[2026-03-21]
Local LLM Inference in 2026: The Complete Guide to Tools, Hardware & Open-Weight Models— @dylan >>
A comprehensive guide to running LLMs locally — comparing 10 inference tools, quantization formats, hardware compatibility, open-weight models, and the builders behind the ecosystem.
[2026-02-28]
Best Mac Mini for Local LLMs: RAM & Buying Guide (2026)— @dylan >>
Choose the best Mac mini for local LLMs: compare M6, M5 Pro and refurbished M4, dated US prices, RAM tiers, model fit and OpenClaw requirements.
[2023-04-04]
Embeddings, Vector Storage, and RAG: Complete Guide to AI Knowledge Systems (2026)— @dylan >>
Learn how embeddings, vector databases, and RAG architecture work together to build AI systems with custom knowledge — with working code examples using OpenAI, pgvector, and the Vercel AI SDK.
[2023-04-04]
Transformers Explained: From Attention Mechanism to GPT-4o, Claude, and Open-Source LLMs (2026)— @dylan >>
Understand transformer architecture from self-attention to modern LLMs — covering GPT-4o, Claude, Gemini, Llama 3, Mistral, multimodal models, and practical guidance on which model to use for which task.