article thumbnail

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

Customers are now pre-training and fine-tuning LLMs ranging from 1 billion to over 175 billion parameters to optimize model performance for applications across industries, from healthcare to finance and marketing. For more information on how to enable SMP with your existing PyTorch FSDP training scripts, refer to Get started with SMP.

Scripts 100
article thumbnail

Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning

Customers such as ADP, Broadridge, Cloudera, Dana-Farber Cancer Institute, Genesys, Genomics England, GoDaddy, Intuit, M1 Finance, Perplexity AI, Proto Hologram, Rocket Companies and more are using Anthropic’s Claude models on Amazon Bedrock to drive innovation in generative AI and to build transformative customer experiences.

Benchmark 136
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

The intent is to offer an accelerated path to adoption of predictive techniques within CDSSs for many healthcare organizations. Technical background A large asset for any acute healthcare organization is its clinical notes. You also use a custom inference script to do the predictions within the container.

article thumbnail

Top 3 Financial Call Center Best Practices

TeleDirect

At TeleDirect, we are experts on how to manage a call center efficiently in the finance sector ! While there is not any specific legislation surrounding call centers in the finance sector, many companies develop their own comprehensive call center rules and regulations for employees to ensure the highest quality service.

article thumbnail

The Evolution of Call Center BPO Services

Global Response

This involves creating industry-specific scripts, workflows, and protocols to address unique customer inquiries and issues. This is particularly important in sectors such as finance, healthcare, and telecommunications sectors. How Can Call Center BPO Services Adapt to Industry-Specific Needs?

article thumbnail

The Case for US Call Centers Over Offshoring

Global Response

And if you’re in a specialized or highly-regulated field like healthcare or finance, there’s even more industry-specific regulations to be aware of. But in others—for example, Healthcare, Finance, Consumer Services, Luxury Brands—immediate responses are a must for customer satisfaction.

article thumbnail

The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. . IDSS allow human agents to focus more on their soft skills and quality of the interaction, and less on scripts and manuals.