Louis-François Bouchard Claude Opus 4.8 (1M context) commited on
Commit ·
c3634f9
1
Parent(s): 240a5c5
docs(readme): link the context-engineering experiments Space + update slide deck
Browse filesAdd the workshop experiments/live-demo Space (see results, try the chatbot)
and point the slides link at the current deck.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
README.md
CHANGED
|
@@ -22,7 +22,8 @@ The live app is deployed on Hugging Face Spaces at: [AI Tutor Chatbot on Hugging
|
|
| 22 |
|
| 23 |
This repo also backs our **AI Engineer (AIE)** workshop on building a production AI tutor, presented by Towards AI.
|
| 24 |
|
| 25 |
-
-
|
|
|
|
| 26 |
- Workshop recording: TBD (coming soon)
|
| 27 |
|
| 28 |
Want to build this AI tutor yourself, end to end? Our [**Full Stack AI Engineer course**](https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev), by Towards AI, walks you through building this exact AI tutor from scratch, plus the broader skills the AI engineering role demands: prompt and context engineering, data pipelines, RAG from scratch then at scale, fine-tuning, agents, observability, and production deployment to Hugging Face Spaces.
|
|
|
|
| 22 |
|
| 23 |
This repo also backs our **AI Engineer (AIE)** workshop on building a production AI tutor, presented by Towards AI.
|
| 24 |
|
| 25 |
+
- Experiments and live demo: [Context engineering experiments](https://huggingface.co/spaces/towardsai-tutors/context-engineering-experiments), see the experiment results and try the chatbot.
|
| 26 |
+
- Slides: [Google Slide Deck](https://docs.google.com/presentation/d/1BVqX1h2DPyIDCEWUSNXSVFIPTQgbhM_ik4JBVaQ2f3k/edit?usp=sharing)
|
| 27 |
- Workshop recording: TBD (coming soon)
|
| 28 |
|
| 29 |
Want to build this AI tutor yourself, end to end? Our [**Full Stack AI Engineer course**](https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev), by Towards AI, walks you through building this exact AI tutor from scratch, plus the broader skills the AI engineering role demands: prompt and context engineering, data pipelines, RAG from scratch then at scale, fine-tuning, agents, observability, and production deployment to Hugging Face Spaces.
|