| view 👀:10 |
🙍 oneddl |
redaktor: Baturi | Rating👍:
Pluralsight – Introduction to Amazon Nova Models
Free Download Pluralsight – Introduction to Amazon Nova Models
Published: 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 87.62 MB | Duration: 24m 49s
Welcome to the Introduction to Amazon Nova Models course, where you will learn about Amazon Bedrock's models, Amazon Nova, and gain hands-on experience with their capabilities.
The market offering of foundation machine learning models is becoming increasingly broad and diverse. Each provider has its strengths and weaknesses, which must be evaluated to select the best option based on performance, cost, and functionality, ensuring the right balance for your scenario. While Amazon Web Services offers a wide catalog of foundation models from leading industry providers, it also has its own competitive offering, with the latest addition being the Amazon Nova models. In this course, Introduction to Amazon Nova Models, you will be introduced to these new-generation, state-of-the-art models.
First, you will be introduced to the Amazon Nova models, with a focus on their integration with Amazon Bedrock, their purpose, capabilities, key benefits, and the different tiers offered by the service. Next, you will learn how to select the right Amazon Nova model for your specific business scenario, focusing on cost-effectiveness, performance metrics, and comparisons with other leading base models. Finally, you will explore the strengths and limitations of Amazon Nova models. By the end of this course, you will have the skills and knowledge to select the best model based on your business needs.
Homepage:
https://www.pluralsight.com/courses/amazon-nova-models-introduction
AusFile
Fileaxa
TakeFile
Rapidgator
https://peeplink.in/9b995bd4903d
Fikper
[center][/center]
⚠️ Dead Link ?
You may submit a re-upload request using the search feature.
All requests are reviewed in accordance with our Content Policy.
Comments (0)
Users of Guests are not allowed to comment this publication.