• Part 1: Mastering the Essentials of Function Calling with OpenAI: Dive into the fundamentals of effective function calling techniques using OpenAI's tools, ensuring you're fully equipped to utilize these capabilities to their fullest potential.

• Part 2: Integrating SQL Queries with GPT & OpenAI API for Enhanced Data Insights: Uncover the secrets of merging SQL with artificial intelligence to derive advanced insights from your data, mastering the integration of SQL and AI for comprehensive data analysis.

• Part 3: Enhancing Chatbot Experiences with Streamlit User Interfaces: Elevate your chatbot projects by incorporating user-friendly web UIs through Streamlit, enhancing user engagement and functionality of your chatbot applications.

• Part 4: Exploring OpenAI's Embeddings and Similarity Search: Learn how to harness the power of OpenAI's embeddings and similarity search capabilities, applying these advanced features in your applications for improved performance and insights.

• Part 5: Build Up a Vector Store from Scratch: This session focuses on the step-by-step construction of a vector storage system, providing you with the knowledge to build, manage, and utilize vector stores effectively.

• Part 6: Crafting a Research Web App with GPT and Streamlit: Learn to merge GPT function calls, similarity search, and Streamlit UI into a single web app. This concise guide will show you how to create a tool for efficiently searching and ranking academic papers by relevance to your queries, enhancing your research capabilities.

Enjoy high-quality content, complete with access to source code and the rights to utilize it for your projects. All course payments come with formal invoices, suitable for tax deductions, and the assurance of a money-back guarantee, no questions asked.

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