Revolutionizing Search: How to Combine Semantic Search with GPT-3 Q&A | Full Code Tutorial
In this video, we'll show you how to revolutionize the way you search by combining the power of Semantic Search with GPT-3 Q&A. We'll walk you through the process of extracting relevant answers from a large set of documents, creating embeddings with Sentence Transformers, and storing them in a vector database using Pinecone. Then, we'll demonstrate how to use these embeddings to perform a semantic search and extract an answer using GPT-3. And the best part?
🧑💻Code:
✅ List of prerequisite videos that will help you understand the concepts better. Check out the list here: https://www.notion.so/Semantic-Search...
👉 Semantic Search GPT-3 Notebook: https://github.com/PradipNichite/Yout...
👉 Semantic Search Streamlit: https://github.com/PradipNichite/Yout...
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We'll share a full code tutorial, so you can follow along and build your intelligent search system from scratch. Join us and learn how to combine Semantic Search with GPT-3 Q&A to create a smart search engine that will transform your search.
I am a Freelance Data Scientist working on Natural Language Processing (NLP) and building end-to-end NLP applications.
I have over 7 years of experience in the industry, including as a Lead Data Scientist at Oracle, where I worked on NLP and MLOps.
I Share Practical hands-on tutorials on NLP and Bite-sized information and knowledge related to Artificial Intelligence.
LinkedIn: / pradipnichite
#SemanticSearch #GPT3 #IntelligentSearch #AI #MachineLearning #SentenceTransformers #Pinecone #SearchEngine #NaturalLanguageProcessing
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