Context Windows Explained: How Much Can an AI Read at Once?
What an AI model's context window is, why long chats get worse, what happens when you hit the limit, and practical ways to work…
Read article →Excel, SAP, Oracle & automation tips — plus wacky facts
How large language models work, run and fail.
How large language models work, run and fail.
📄 9 articles⬇️ 3 with practice files🕒 Updated 12 Nov 2026
🎓 Start here: Vibe Coding Course → 🎓 Start here: AI Agents & RAG Course → 🎓 Start here: AI for Office Work Course →What an AI model's context window is, why long chats get worse, what happens when you hit the limit, and practical ways to work…
Read article →AI models read and write tokens, not words. What a token is, why Hindi and code use more of them, how tokens decide price…
Read article →A clear history of Meta’s open-weight Llama models: Llama 1 (2023) to Llama 4 Scout and Maverick (2025), with sizes, context length, licences, what…
Read article →A practical guide to today’s popular AI model families — OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, DeepSeek, Qwen, Mistral, Gemma, Kimi and…
Read article →How OpenAI’s GPT models evolved — GPT-1, GPT-2, GPT-3, ChatGPT, GPT-4, GPT-4o, the o-series reasoning models, open-weight gpt-oss and GPT-5 — with what each…
Read article →LLM "hallucinations" explained simply: why a next-token predictor can sound confident and still be wrong, and six practical habits to catch fabricated facts, formulas…
Read article →Install Ollama, run open models like Llama and Qwen locally, call them from Python and Excel-friendly scripts, and create a custom model with a…
Read article →How LoRA fine-tuning works, why it trains less than 1% of a model’s parameters, when fine-tuning beats prompting or RAG, and a minimal Hugging…
Read article →What the temperature and top-p settings in AI models actually do, with a worked numeric example, and which values to use for code, data…
Read article →Bones are stronger than steel of the same weight.
Weight for weight, bone is remarkably strong, especially under compression, because of its mix of collagen and mineral.