Amazon Sagemaker Vs Bedrock Series- Fine-tuning
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- Опубликовано: 26 июн 2024
- Udemy: www.udemy.com/course/amazon-b...
Description:
Join us as we compare Amazon SageMaker and Amazon Bedrock, two powerful platforms for fine-tuning large language models (LLMs). In this video, we'll explore:
Platform Overviews: Key features of SageMaker and Bedrock.
Fine-Tuning Workflows: Step-by-step comparison of the fine-tuning process.
PEFT Methods: How each platform handles parameter-efficient fine-tuning.
Resource Management: Scalability, efficiency, and cost-effectiveness.
Performance Metrics: Accuracy, speed, and deployment outcomes.
Use Cases: Real-world applications and scenarios.
Find out which service best fits your needs for fine-tuning LLMs. Like, comment, and subscribe for more AI and ML insights!
#AmazonSageMaker #AmazonBedrock #MachineLearning #FineTuning #LLMs #AI #awsbedrock
Fine tuning file format
github.com/JohnChe88/cloudtec...
Yessssss!!!!
I'm having problems with the jsonl format. Could you provide me with a test file so I can try to understand where I'm going wrong?
github.com/JohnChe88/cloudtechinsights/blob/main/amazon-bedrock-part-5/training.jsonl
@@CloudTechInsights-hj4pd Thanks!