Beginner friendly, step-by-step walkthrough of how to embed your own data, and make a working recommender bot. I explain each step and how embeddings differ from fine-tuning and general prompting, as well as how you can embed your own data and use this powerful tool! This example makes a movie recommendation from 3000 movies, just plug in your favorite movie and it will recommend a similar title based on the plot and movie title.
Colab Notebbook:
https://colab.research.google.com/drive/1U4Owxf-CPjWzEI7jxJECu0vH7UUS88nt?usp=sharing
Excel Data:
https://docs.google.com/spreadsheets/d/16BDHzdw4CwB0qJ5aRxH3brgrA3Y_muKg14gJ-zMiYPI/edit?usp=sharing
Other Videos:
AI Phone Scheduler - https://youtu.be/bwhBlqhbUrY
AI for Automating Cold Calling - https://youtu.be/T2snn5ZAlmE
GPT that makes Calls - https://youtu.be/zm6SdRW5TGU
Fine-Tune Llama-2 - https://youtu.be/u0hpZ3HRs1c
Fine-Tune ChatGPT 3.5 - https://youtu.be/8Ieu2v0v4oc
Build an AI Texting Bot - https://youtu.be/dr7q0cDujjc
Fine-Tune ChatGPT 3 - https://youtu.be/eS7o9IfkJxI
Embed Data with ChatGPT - https://youtu.be/EQ9Galv242c
Build a chatbot - https://youtu.be/zVgJiQT9DHU
How I got GPT4 access - https://youtu.be/UTxtcii-U_w
API keys - https://youtu.be/5-QhG_UQs-E
Chapters:
0:00 - Intro
0:52 - What is Embedding Data?
3:16 - Set Up Excel Data
3:56 - Setup Code in Colab
7:45 - Embedding Function
10:04 - Embedding Complete
10:41 - View Embedding Data
11:52 - Setup Search/Recommend Function
14:45 - Gradio UI
15:37 - Success! Let's Test It
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