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Скачать или смотреть Build AI (into your) apps with MongoDB and SuperDuperDB

  • MongoDB
  • 2024-01-25
  • 1786
Build AI (into your) apps with MongoDB and SuperDuperDB
AI/MLCloudDAGenAILSMongoDB Atlas Kubernetes OperatorMongoDB Atlas Terraform ProviderVector
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Описание к видео Build AI (into your) apps with MongoDB and SuperDuperDB

✅ Sign-up for a free cluster at → https://www.mongodb.com/cloud/atlas/r...
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✅ https://mdb.link/3UuHT8sd3dc
✅ https://mdb.link/blog-3UuHT8sd3dc


The video is a live stream featuring Shane McCallister and Mark Smith from MongoDB, and Teemo and Duncan, co-founders of Super Duper DB. The discussion revolves around the journey of Super Duper DB, its integration with MongoDB, and its role in simplifying the implementation of AI and machine learning in databases. The speakers also discuss the challenges of handling data in AI, the benefits of MongoDB's Atlas Vector Search, and the potential for more sophisticated AI applications. They also provide a detailed walkthrough of creating a chatbot using SuperDuper DB, MongoDB, and OpenAI, and discuss the future of AI and its applications in various industries.

📚 RESOURCES 📚
https://mdb.link/3UuHT8sd3dc
https://mdb.link/blog-3UuHT8sd3dc


⏱️ Timestamps ⏱️
Introduction and Background [00:00:00 - 00:13:57]
The chapter begins with introductions and a brief background of the speakers. It covers the career path of Teemo, co-founder of Super Duper DB, and the initial development of SuperDup. The chapter also discusses the challenges faced in the field of AI and e-commerce.

The Creation and Functionality of SuperDup [00:13:58 - 00:27:55]
This chapter delves into the creation of SuperDup, its initial working title, and the idea behind the tool. It also covers Duncan's background and the gap SuperDup aims to fill in the interaction between databases and AI models.

Super Duper DB and MongoDB Integration [00:27:56 - 00:41:53]
The third chapter discusses the integration of Super Duper DB with MongoDB and how it addresses the challenges of handling data in AI and machine learning. It also touches on the benefits of MongoDB's Atlas Vector Search and the potential for more sophisticated AI applications.

The Development and Implementation of Super Duper DB [00:41:54 - 00:55:51]
This chapter focuses on the development process of Super Duper DB, the challenges faced, and the differences between their system and others. It also discusses the rapid pace of change in the AI space and the need to keep up with these changes.

SuperDuper DB Demonstration and Use Cases [00:55:52 - 01:09:49]
The fifth chapter provides a detailed walkthrough of creating a chatbot using SuperDuper DB, MongoDB, and OpenAI. It also discusses the use of Atos Vector and MongoDB for data processing and machine learning tasks, and the system's ability to handle external data references.

Future of AI and Closing Remarks [01:09:50 - 01:23:56]
The final chapter discusses the future of AI and its applications in various industries. It also covers the use of serverless instances on Atlas and the desire to have various functions running together in e-commerce. The chapter concludes with advice for those considering starting their own technology startup and a brief discussion about MongoDB's tool, Atlas.

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