Performing Batch API in OpenAI Dashboard | Complete OpenAI API GPT Python Tutorial - Part 8

Sahil Vohra · Beginner ·🛠️ AI Tools & Apps ·1y ago
This video is part of a full Udemy course which will be uploaded soon on Udemy. In this video, we dive into performing batch API operations using the OpenAI Dashboard. This tutorial will guide you through generating data using OpenAI's chat models and processing it in batches, making it easier and more efficient to handle large datasets. In This Video: Learn how to generate data using OpenAI chat models. Discover how to format data for batch processing. Step-by-step guide to submitting batch jobs via the OpenAI Dashboard. Tips for optimizing the batch processing workflow. Timestamps: 0:00 - Introduction 0:30 - Generating Data with Chat Models 1:38 - Formatting Data for Batch Processing 4:19 - Submitting Batch Jobs 7:58 - Monitoring Batch Job Progress 9:55 - Reviewing and Downloading Results 11:00 - Conclusion and Next Steps Other courses: RAG LLMOps in GCP - Deploying a Retrieval Augmented Generation LLM in GCP infrastructure project: https://youtu.be/39PGfKA50As Source code for these tutorials: https://github.com/Sahilvohra58/open_ai_api_tutorials If you found this video helpful, please give it a thumbs up 👍, subscribe to our channel 🔔, and leave a comment below if you have any questions or topics you want us to cover next! Follow Us: Youtube: https://www.youtube.com/@sahilvohra8892 LinkedIn: https://www.linkedin.com/in/sahil-vohra/ Github: https://github.com/Sahilvohra58/ Thank you for watching, and happy coding! 🚀
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Chapters (7)

Introduction
0:30 Generating Data with Chat Models
1:38 Formatting Data for Batch Processing
4:19 Submitting Batch Jobs
7:58 Monitoring Batch Job Progress
9:55 Reviewing and Downloading Results
11:00 Conclusion and Next Steps
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