LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
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LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
Gradio was built for people like Anya, who wanted to make things look functional without having to actually learn frontend development. Step 1: Install the magic library pip install gradio Step 2: Import it and create a simple interface import gradio as gr def recommend_books(user_input): return f"Here are book recommendations based on:
... See moreLeandro Calado • LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
She typed: "kaggle book dataset" And lo and behold— The 7K Books Dataset. 7,000 books, with: ● ISBNs (whatever, fine) ● Titles & subtitles (useful) ● Authors (sure) ● Categories (interesting…) ● A thumbnail image of the cover (not helpful but nice to look at) ● A description of the book Bingo. Book descriptions. That was the jackpot. That’s what
... See moreLeandro Calado • LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
"Okay," Anya muttered. "I have my embeddings. How do I actually find similar books now?" Enter cosine similarity—aka, "That Math Thing You Were Supposed to Learn in High School But Didn’t." Dr. Vance had explained it like this: "Cosine similarity measures the angle between two vectors in multi-dimensional space. The closer the angle, the more
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