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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. The evaluation metric is the F1 score that measures the word-to-word matching of the extracted content between the generated output and the ground truth answer.

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

Amazon Q Business Insights provides administrators with details about the utilization and effectiveness of their AI-powered applications. By monitoring utilization metrics, organizations can quantify the actual productivity gains achieved with Amazon Q Business.

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What is business intelligence? Transforming data into business insights

CIO

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. BI vendors Tableau and G2 also offer concrete examples of how organizations might put business intelligence tools to use: A co-op organization could use BI to keep track of member acquisition and retention.

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Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning - AI

The models were evaluated using the SQuAD F1 score metric , which measures the word-level overlap between generated responses and reference answers. These validation metrics serve as early indicators of how your fine-tuned model performs on unseen data, providing additional performance insights during fine-tuning. 11B and Meta Llama 3.2

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Business Analytics tools & use cases

Apiumhub

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. What is Business Analytics?

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Arena raises money from Peter Thiel and David Petraeus for its decision-making AI

TechCrunch

and Noogata compete more directly with Arena, delivering tools designed to make predictions about metrics like customer lifetime value, churn and retention, sales and on-time deliveries. Unsupervised, Pecan.ai

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning - AI

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Draft a comprehensive earnings call script that covers the key financial metrics, business highlights, and future outlook for the given quarter.