better indexing strategy now that tutorials are into the 2-digits

Author: onlyphantom

0_start.py 00_start.py

@@ -4,24 +4,24 @@ A set of instructional materials, code samples and Python scripts featuring LLMs
 <!-- <img src="assets/youtube.png" width="50%" alt="LangChain youtube tutorials" /> -->
 ![LangChain youtube tutorials](assets/llmseries.png)
 
-Learn LangChain from my YouTube channel:
+Learn LangChain from my YouTube channel (~5 hours of content); Each lesson is accompanied by the corresponding code in this repo and is designed to be self-contained -- while still focused on some key concepts in LLM (large language model) development and tooling. 
+
+Feel free to pick and choose your starting point based on your learning goals:
 
 | Part | LLM Tutorial | Link | Video Duration |
 | --- | --- | --- | --- |
-| 1 | LangChain + OpenAI tutorial: Building a Q&A system w/ own text data | [Tutorial Video](https://youtu.be/DYOU_Z0hAwo) | 20:00 |
-| 2 | LangChain + OpenAI to chat w/ (query)  own Database / CSV | [Tutorial Video](https://youtu.be/Fz0WJWzfNPI) | 19:30 |
-| 3 | LangChain + HuggingFace's Inference API (no OpenAI credits required!) | [Tutorial Video](https://youtu.be/dD_xNmePdd0) | 24: 36 |
-| 4 | Understanding Embeddings in LLMs | [Tutorial Video](https://youtu.be/6uyBc0jm1xQ) | 29:22 |
-| 5 | Query any website with LLamaIndex + GPT3 (ft. Chromadb, Trafilatura) | [Tutorial Video](https://youtu.be/6K1lyyzpxtk) | 11:11 |
-| 6 | Locally-hosted, offline LLM w/LlamaIndex + OPT (open source, instruction-tuning LLM) | [Tutorial Video](https://youtu.be/qAvHs6UNb2k) | 32:27 |
-| 7 | Building an AI Language Tutor: Pinecone + LlamaIndex + GPT-3 + BeautifulSoup | [Tutorial Video](https://youtu.be/k8G1EDZgF1E) | 51:08 |
-| 8 | Building a queryable journal 💬 w/ OpenAI, markdown & LlamaIndex 🦙 | [Tutorial Video](https://youtu.be/OzDhJOR5IfQ) | 40:29 |
+| 1 | OpenAI tutorial and video walkthrough | [Tutorial Video](https://youtu.be/skw-togjY7Q) | 26:56 |
+| 2 | LangChain + OpenAI tutorial: Building a Q&A system w/ own text data | [Tutorial Video](https://youtu.be/DYOU_Z0hAwo) | 20:00 |
+| 3 | LangChain + OpenAI to chat w/ (query)  own Database / CSV | [Tutorial Video](https://youtu.be/Fz0WJWzfNPI) | 19:30 |
+| 4 | LangChain + HuggingFace's Inference API (no OpenAI credits required!) | [Tutorial Video](https://youtu.be/dD_xNmePdd0) | 24:36 |
+| 5 | Understanding Embeddings in LLMs | [Tutorial Video](https://youtu.be/6uyBc0jm1xQ) | 29:22 |
+| 6 | Query any website with LLamaIndex + GPT3 (ft. Chromadb, Trafilatura) | [Tutorial Video](https://youtu.be/6K1lyyzpxtk) | 11:11 |
+| 7 | Locally-hosted, offline LLM w/LlamaIndex + OPT (open source, instruction-tuning LLM) | [Tutorial Video](https://youtu.be/qAvHs6UNb2k) | 32:27 |
+| 8 | Building an AI Language Tutor: Pinecone + LlamaIndex + GPT-3 + BeautifulSoup | [Tutorial Video](https://youtu.be/k8G1EDZgF1E) | 51:08 |
+| 9 | Building a queryable journal 💬 w/ OpenAI, markdown & LlamaIndex 🦙 | [Tutorial Video](https://youtu.be/OzDhJOR5IfQ) | 40:29 |
 
 The full lesson playlist can be found [here](https://www.youtube.com/playlist?list=PLXsFtK46HZxUQERRbOmuGoqbMD-KWLkOS).
 
-### Side Lessons (good supplements to the main series above)
-- [OpenAI tutorial and video walkthrough](https://youtu.be/skw-togjY7Q)
-
 ### Quick Start
 1. Clone this repo
 2. Install requirements: `pip install -r requirements.txt`
@@ -42,3 +42,5 @@ HuggingFace and Pinecone are optional but is recommended if you want to use the
 ### Dependencies
 As LlamaIndex and LangChain are both very new projects, if you're using the latest version of these libraries, some of the code in this repo may need small adjustment. I will try to keep this repo up to date with the latest version of the libraries, but if you encounter any issues, please let me know. The code examples are tested on LlamaIndex 0.5.7 and LangChain 0.0.157.
 
+### Mentorship and Support
+I run a mentorship program under [Supertype Fellowship](https://fellowship.supertype.ai). The program is self-paced and free, with a community of other learners and practitioners around the world (English-speaking). You can optionally book a 1-on-1 session with my team of mentors to help you through video tutoring and code reviews.