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How to Build Q&A Chatbots with Azure OpenAI Fine-Tuning | Future of Data & AI

As businesses increasingly turn to chatbots to automate customer support services, Azure OpenAI emerges as a highly advanced and customizable platform that provides robust natural language processing capabilities.

Learn how to create a chatbot builder that can effectively answer customer questions, it is crucial to fine-tune the Azure OpenAI model to match the specific domain and language of the business.

Similar videos you should watch:

Become a ChatGPT Prompting Expert – https://youtu.be/DsbWPfGfGTAHugging Face + LangKit (Prevent AI ⁠Hallucinations) – https://youtu.be/EPUNZm6fGbwWhat are Large Language Models Applications – https://youtu.be/zjK3NDlDFng⁠Fully Functional Chatbot with Llama Index – https://youtu.be/2jhpzCNEfMQChallenges in Building Enterprise LLM Applications – https://youtu.be/NjtwlK4QGEU

In this tutorial, we explore the features of Azure OpenAI and demonstrate how to further improve the platform by fine-tuning one of its models. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

–Table of Contents:00:00 – Building Chatbots0:38 – Agenda1:38 –Problem Statement3:18 – Solution4:45 – Introduction to Azure OpenAI Service6:39 – OpenAI’s natural language capabilities7:53 – Data collection9:22 – Model selection10:41 – Model training11:30 – Optimizing the response12:00 –Demo37:00 – Summary

Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0

About the Speaker:

Ebad Ullah Khan– Associate Data Engineer at Data Science DojoCurrently working as an Associate Data Engineer at Data Science Dojo, Ebad Ullah is a computer engineering graduate with over 2 years of experience in the field of Artificial Intelligence, Ebad Ullah is well-versed in the development of AI-based solutions.

#llm #generativeai #finetuning #Azure #Chatbot #OpenAI