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Louis-François Bouchard, aka What's AI
Making AI accessible through practical AI engineering writing, videos, courses, and consulting.
- Authority
- 51 reach 6 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.louisbouchard.ai/llms.txt
- llms-full.txt
- https://www.louisbouchard.ai/llms-full.txt
- Sections
- 8
- Links
- 60
- Size
- 12861 bytes
- Popularity rank
- #638924
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:44:25.144Z
- Last checked
- 2026-10-21T10:44:54.500Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T10:44:50.698Z. Cached copy · Source on louisbouchard.ai
# Louis-François Bouchard, aka What's AI
> Making AI accessible through practical AI engineering writing, videos, courses, and consulting.
Louis-François Bouchard writes and teaches practical AI engineering, machine learning, LLMs, AI agents, computer vision, and AI education. This file is a curated entry point for assistants and agents. Canonical HTML URLs remain the source of truth.
## Primary Links
- [Home](https://www.louisbouchard.ai/): Making AI Accessible. Co-founder at Towards AI. Ex-PhD at Mila.
- [Blog](https://www.louisbouchard.ai/blog/): All articles and essays.
- [RSS](https://www.louisbouchard.ai/rss.xml): Fresh posts feed.
- [JSON Feed](https://www.louisbouchard.ai/feed.json): Machine-readable feed.
- [Complete AI index](https://www.louisbouchard.ai/ai-index.json): Structured list of pages, posts, tags, and canonical URLs.
- [Full LLM index](https://www.louisbouchard.ai/llms-full.txt): Complete Markdown URL index for all public content.
- [Image sitemap](https://www.louisbouchard.ai/image-sitemap.xml): Discoverable local images used by public pages and articles.
- [Video sitemap](https://www.louisbouchard.ai/video-sitemap.xml): 413 YouTube embeds mapped to their canonical article pages.
## Discovery Notes
- Use canonical article URLs for attribution and citations.
- The AI index includes topics, tags, takeaways, FAQs, key questions, source links, media, and last-reviewed dates when available.
- The HTML pages remain the source of truth. The machine-readable files are navigation aids.
## Learning Paths
- [Learn AI Engineering](https://www.louisbouchard.ai/learn-ai-engineering/): A practical free guide to building real AI systems in 2026.
- [Build a Career in AI Engineering](https://academy.towardsai.net/?ref=1f9b29): A structured course path for people who want AI engineering to become their job, not just a side curiosity.
- [Start AI From Zero](https://www.louisbouchard.ai/learnai/): A beginner-friendly roadmap from no background to serious AI fluency.
- [From Zero to Hero With LLMs](https://www.louisbouchard.ai/from-zero-to-hero-with-llms/): A focused path for understanding and building with language models.
## Topic Hubs
- [AI Agents](https://www.louisbouchard.ai/topics/ai-agents/): Practical writing on AI agents, workflows, memory, tool use, reliability, and what actually ships.
- [Large Language Models](https://www.louisbouchard.ai/topics/llms/): Clear explanations of LLMs, reasoning models, prompting, context, distillation, fine-tuning, and model behavior.
- [RAG and Retrieval](https://www.louisbouchard.ai/topics/rag/): Guides and explainers on retrieval augmented generation, vector databases, embeddings, indexing, and evaluation.
- [AI Engineering](https://www.louisbouchard.ai/topics/ai-engineering/): Roadmaps, architecture decisions, evals, deployment lessons, and practical AI engineering advice.
- [Computer Vision](https://www.louisbouchard.ai/topics/computer-vision/): Computer vision explainers on image generation, s
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