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.
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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.
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Table of Contents:
00:00 - Building Chatbots
0:38 - Agenda
1:38 -Problem Statement
3:18 - Solution
4:45 - Introduction to Azure OpenAI Service
6:39 - OpenAI’s natural language capabilities
7:53 - Data collection
9:22 - Model selection
10:41 - Model training
11:30 - Optimizing the response
12:00 -Demo
37:00 - Summary
💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: hubs.la/Q01ZZGL-0
About the Speaker:
Ebad Ullah Khan- Associate Data Engineer at Data Science Dojo
Currently 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

[@Datasciencedojo]

Hello everyone, you can find all the remaining tutorials here: th-cam.com/play/PL8eNk_zTBST-Yjhzsvnq075UntUkhMLcz.html

[@DilshanKavinda-k3m]

Hi, This is a handy introduction and tutorial, Thank you for sharing. Also if you can share the files you have uploaded it will be very useful.

[@sabaashraf8855]

Very informative. 👍🏻

[@user-gv9ov6ew5j]

Hi after uploading the files and selecting start training I am encountering this error: Create a fine tuned model:
The specified file reference must point to a completed file import.
how do I resolve it? please help

[@Datasciencedojo]

Hello, the error "The specified file reference must point to a completed file import" in OpenAI Studio during fine-tuning indicates a problem with the file reference or import process. Use the OpenAI CLI data preparation tool to check for necessary reformatting before uploading the file again.
You can learn how to use the CLI tool here: learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/fine-tuning?pivots=programming-language-studio#openai-cli-data-preparation-tool

[@anandverma2083]

Hi Ebad I wanted to ask about the validating dataset what should we add there

[@Datasciencedojo]

Hello Anand, the validation dataset is comprised of data that is the same as the data in the training file, with the exception that the data within the validation file has not been previously encountered. This enables us to assess the performance of the model.

[@kukuhhp9892]

Hi, what is the difference between Azure AI Studio & Azure OpenAI Studio? I mean in what case we better use Azure AI Studio or vice versa. Sorry I 'm still new about this thing

[@Datasciencedojo]

Hi, while both platforms are part of Microsoft Azure's AI offerings, Azure AI Studio provides a broad set of tools for AI development across various domains, whereas Azure OpenAI Studio focuses on integrating OpenAI's specific language models into applications leveraging Azure's cloud infrastructure.

[@martinolowe6516]

Hi when uploading the data, i get the following error 'internalFailure: Internal failure.' How do I resolve?

[@Datasciencedojo]

Hey, since this is a complicated question, we would love to connect with you over email. You can reach out to us at the below-mentioned email:
[e-mail]
You can also provide us with your email address and we will request our speaker to connect with you.

[@vasistareddyable]

will the fine-tuning and custom data work parallelly?

[@Datasciencedojo]

Hello, yes, indeed! The fine-tuning process and the utilization of custom data occur in parallel when enhancing a Chatbot with fine-tuning. This simultaneous approach allows the model to learn and adapt to specific requirements present in the custom dataset.

[@sameedaris]

Can I get sample Prompt and Validation file please?

[@Datasciencedojo]

Hello Samee, here are th sample prompts:
1. How long is the python course?
2. Will I get a certificate of completion?
Can you share your email with us so we can share the validation file with you?

[@sameedaris]

@@Datasciencedojo please add link in description for training and validation file.

[@Datasciencedojo]

Hello@@sameedaris, please email us here so we can share the file with you: [e-mail]

[@solteeme8745]

@@Datasciencedojo I also want the training and validation file.

[@Datasciencedojo]

Hello@@solteeme8745, please email us here so we can share the file with you: [e-mail]