Models

Federated Learning, Part 1: The Basics of Training Models Where the Data Lives

I the concept of federated learning (FL) through a comic by Google in 2019. It was a superb piece and did a fantastic job at explaining how products can improve without sending user...

Tips on how to Improve the Performance of Visual Anomaly Detection Models

Introduction: Why this text was created. Anomaly detection: Quick overview. Image size: Is a bigger input size value it? Center crop: Concentrate on the article. Background removal: Remove all you don’t need. Early stopping: Use a validation set. Conclusion 1. Introduction There...

Filter for Dates, Including or Excluding Future Dates, in Semantic Models

Imagine that we have now three measures: Sales Amount Sales Amount Budget Sales Amount PY Once we take a look at a table with these numbers, we see this (assuming that we have now current data until the...

A brand new solution to increase the capabilities of huge language models

Most languages use word position and sentence structure to extract meaning. For...

Enabling small language models to resolve complex reasoning tasks

As language models (LMs) improve at tasks like image generation, trivia questions,...

On the Challenge of Converting TensorFlow Models to PyTorch

Within the interest of managing reader expectations and stopping disappointment, we would love to start by stating that this post does not provide a totally satisfactory solution to the issue described within the title. We are...

A wiser way for big language models to take into consideration hard problems

To make large language models (LLMs) more accurate when answering harder questions,...

LLM-as-a-Judge: What It Is, Why It Works, and The way to Use It to Evaluate AI Models

concerning the idea of using AI to judge AI, also often called “LLM-as-a-Judge,” my response was: We live in a world where even toilet paper is marketed as “AI-powered.” I assumed this was just...

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