Artificial Intelligence Archives - Page 90 of 352

Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker

1 min read

Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker

CAT October 8, 2024

Roy Allela In this post, we collaborate with the team working on PyTorch at Meta to showcase...

Evaluating Edge Detection? Don’t Use RMSE, PSNR or SSIM

1 min read

Evaluating Edge Detection? Don’t Use RMSE, PSNR or SSIM

CAT October 8, 2024

Conor O’Sullivan Empirical and theoretical evidence for why Figure of Merit (FOM) is the best edge-detection evaluation...

From Set Transformer to Perceiver Sampler

4 min read

From Set Transformer to Perceiver Sampler

CAT October 8, 2024

Mengliu Zhao On multi-modal LLM Flamingo’s vision encoder Designing Multi-modal LLM is hard. The state-of-the-art multi-modal LLMs are primarily...

A Deeper Dive into Odds Ratios Using Logistic Regression

1 min read

A Deeper Dive into Odds Ratios Using Logistic Regression

CAT October 8, 2024

Iqbal Rahmadhan A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression...

How to Improve Model Quality Without Building Larger Models

1 min read

How to Improve Model Quality Without Building Larger Models

CAT October 8, 2024

Matthew Gunton Going into the Google DeepMind’s “Scaling LLM Test-Time Compute Optimally can be More Effective than...

Make the Switch from Software Engineer to ML Engineer

7 min read

Make the Switch from Software Engineer to ML Engineer

CAT October 8, 2024

Kartik Singhal 7 steps that helped me transition from a software engineer to machine learning engineer I receive...

Prompt Caching in LLMs: Intuition

4 min read

Prompt Caching in LLMs: Intuition

CAT October 8, 2024

Rodrigo Nader A brief tour of how caching works in attention-based models Image by Author using ChatGPT I’ve...

Time series forecasting with Amazon SageMaker AutoML

1 min read

Time series forecasting with Amazon SageMaker AutoML

CAT October 8, 2024

Davide Gallitelli In this blog post, we explore a comprehensive approach to time series forecasting using the...

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Artificial Intelligence

Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker

Evaluating Edge Detection? Don’t Use RMSE, PSNR or SSIM

From Set Transformer to Perceiver Sampler

A Deeper Dive into Odds Ratios Using Logistic Regression

How to Improve Model Quality Without Building Larger Models

Make the Switch from Software Engineer to ML Engineer

Prompt Caching in LLMs: Intuition

Still Manually Reviewing All User Interactions For Your AI Solutions?

Time series forecasting with Amazon SageMaker AutoML

Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock

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