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Boost Your Productivity with awscurl: Simplifying IAM-Secured API Testing in AWS

Xebia

They all use the same set of APIs to perform the actions requested by the user. But what if you want to test the API from your local machine or the cloud shell from the console? In the past, I used a simple Python script to perform these API calls, but that always took some time and energy to build. How can we unblock ourselves?

AWS 162
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Improve Amazon Nova migration performance with data-aware prompt optimization

AWS Machine Learning - AI

Among these, Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading cost-performance, available exclusively on Amazon Bedrock. Additionally, during the migration to Amazon Nova, a key challenge is making sure that performance after migration is at least as good as or better than prior to the migration.

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Agentic AI design: An architectural case study

CIO

You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow. These agents are already tuned to solve or perform specific tasks. Would you know that the user agent performs sentiment/text analysis?

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LLM benchmarking: How to find the right AI model

CIO

Factors such as precision, reliability, and the ability to perform convincingly in practice are taken into account. These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks.

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100 Pipeline Plays: The Modern Sales Playbook

Meet your modern sales playbook - See how high-performing sales and marketing teams increase pipeline year-over-year. Apply tested plays to your funnel - Use real-world scenarios, triggers, actions and expected results to improve your entire funnel. Use our proven data-driven plays to grow your pipeline and crush your revenue targets.

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Kolena, a startup building tools to test AI models, raises $15M

TechCrunch

Kolena, a startup building tools to test, benchmark and validate the performance of AI models, today announced that it raised $15 million in a funding round led by Lobby Capital with participation from SignalFire and Bloomberg Beta.

Tools 276
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Epochs: Maximizing Model Performance

InnovationM

As training progresses, we gradually decrease the learning rate to fine-tune the models performance. This dynamic scheduling plays a crucial role in achieving smoother convergence and better overall performance. Early Stopping for Optimal Performance One of the most effective techniques weve adopted is early stopping.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance. . 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.