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Edge 447: Not All Model Distillations are Created Equal

Understanding the different types of model distillation.

Nov 12

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A futuristic AI teacher interacting with a group of smaller student AIs in a cinematic setting. The teacher AI has a sleek, humanoid design with glowing accents, displaying a calm and wise demeanor. The smaller student AIs are diverse, with various shapes and colors, each designed uniquely to show individuality. The background is cinematic, featuring a grand, high-tech classroom with large windows showing a futuristic cityscape at sunset, casting a warm glow over the scene. Soft lighting adds a sense of depth and wonder to the environment. — Created Using DALL-E

In this issue:

Understanding the different types of model distillation.
The original model distillation paper.
The Haystack framework for RAG applications.

💡 ML Concept of the Day: Types of Model Distillation

In the previous issue of this series, we introduced the concept of model distillation. The core idea of this technique is to use a teacher model to train a smaller, more efficient model that maintains the accuracy of the teacher model on a specific set of domains. As you can imagine, there are multiple ways to accomplish this based on a teacher-student interactions.

Model distillation techniques fall into three primary categories: response-based, feature-based, and relation-based. Each method emphasizes a different aspect of transferring knowledge from a larger, more complex teacher model to a smaller, more efficient student model. These approaches each come with their own set of strengths and limitations, and understanding them can be beneficial, even though response-based distillation is often the easiest to implement.

1. Response-Based Distillation:...

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Edge 447: Not All Model Distillations are Created Equal

Edge 447: Not All Model Distillations are Created Equal

Understanding the different types of model distillation.

In this issue:

💡 ML Concept of the Day: Types of Model Distillation

Subscribe to TheSequence to unlock the rest.

A subscription gets you:

Older messages

Microsoft's New Framework for Multi-Agent Systems

Edge 446: Can AI Build AI Systems? Inside OpenAI's MLE-Bench

Edge 445: A New Series About Knowledge Distillation

Robotics is Inching Towards it ChatGPT Moment

📽 Fully Virtual: Agents in Production

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