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Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning

The integration of these multimodal capabilities has unlocked new possibilities for businesses and individuals, revolutionizing fields such as content creation, visual analytics, and software development. When the fine-tuning process is complete, you can review the evaluation metrics for the model. respectively, on the DocVQA test set.

Benchmark 107
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Connecting Satisfaction With Behavior: Does The Service-Profit Chain (or The Employee Engagement-Profit Chain) Still Work?

Beyond Philosophy

For the past two decades, it has been the analytical foundation used by many organizations to assess the health of their company. So the key takeaways from Ms Wyse’s summary is that satisfaction principally measures attitudes, which are passive, reactive, and tactical, and that this metric has little connection to value-related behavior.

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning

The vector engine provides distance metrics such as Euclidean distance, cosine similarity, and dot product similarity. You can store fields with various data types for metadata, such as numbers, Booleans, dates, keywords, and geopoints.

APIs 102
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Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs 133
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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

AWS Machine Learning

One risk many organizations face is the inadvertent exposure of sensitive data through logs, voice chat transcripts, and metrics. At the same time, it’s crucial to make sure these security measures don’t undermine the functionality and analytics critical to business operations.

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Fireside Chat: Natero Shares Tips for Customer Success

Satrix Solutions

Read our interview: Evan Klein: How has the Customer Success industry changed since Natero was first founded in 2012? The title of “Customer Success Manager” wasn’t ubiquitous back in 2012, but today it’s the third most promising job of 2018 according to LinkedIn. What do you advise they focus on?

SaaS 60
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AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning

His core area of expertise include Data Analytics, Networking and Technology strategy. To use the CodeWhisperer extension, ensure that you have the necessary permissions. This policy grants permissions that allow a user to work with scans, including creating scans, viewing scan information, and viewing scan findings.