
Google Gemini 2.5 Guide — Updated
This guide has been updated to cover the current Gemini 3.x model family. Please see the new guide at the link below.

Expert profile
Founder & AI Product Leader
Yash Thakker is a Generative AI expert with over 12 years of experience in product leadership and technical strategy. As the founder of explainx.ai, he has taught over 300,000 learners and built AI platforms serving millions of users globally. He specializes in Agentic AI, Multimodal RAG, and the intersection of LLMs with consumer hardware.

This guide has been updated to cover the current Gemini 3.x model family. Please see the new guide at the link below.

Full guide to Google Gemini 3.5 Flash, 3.1 Pro, Flash-Lite, Deep Think, and Gemini Omni in 2026: model lineup, 1M token context, Python API examples, and honest comparison vs Claude Fable 5 and GPT-5.6.

Fable 5 live July 1 after export ban lift. GPT-5.6 permissioned preview continues — broad GA around the corner. Lutnick, Altman, case-by-case access.

Complete technical guide: forward noise schedules, reverse denoising, VAE latent space, CLIP and T5 text encoders, classifier-free guidance, U-Net vs DiT architectures, flow matching, LoRA fine-tuning, and model families (DALL-E 3, Stable Diffusion, Flux, Imagen, Midjourney).

Step-by-step guide to writing, testing, and publishing a SKILL.md agent skill for Claude Code. Covers format, triggers, testing, and explainx.ai publishing.

A practical, step-by-step guide to learning AI in 2026. Real prompts, real commands, real exercises — from your first Claude conversation to building...

LoginWithChatGPT lets users run Codex on their ChatGPT plan inside your site. Device auth flow, TOS risk, vs API, OpenClaw, and usemysub explained.

Complete MCP security guide — threat models, OAuth authentication, prompt injection defense, audit logging, least privilege design, and a production security checklist for Model Context Protocol deployments in 2026.

Complete guide to Meta Llama 4 in 2026: model family explained, Mixture of Experts architecture, running locally with Ollama, fine-tuning with LoRA, benchmarks vs GPT and Claude, and when open weights win.

Learn the five core multi-agent orchestration patterns — orchestrator/worker, pipeline, fan-out, debate, and routing — with architecture diagrams, code, cost analysis, and framework recommendations.

Commerce Secretary Lutnick’s June 26 letter to Anthropic COO Tom Brown: Mythos 5 restored only for Annex A US trusted partners, Anthropic foreign-national...

OpenMontage GitHub guide: 12 pipelines, zero-key path, real-footage montages, costs, AGPL, vs ViMax/Runway, Claude Code setup, and known limitations.