28 авг. 2024 г. · LLM distillation is a technique that seeks to replicate the performance of a large language model while reducing its size and computational ... Why Is LLM Distillation... · Distillation techniques

13 февр. 2024 г. · LLM distillation is when data scientists use LLMs to train smaller models. Data scientists can use distillation to jumpstart classification ...

20 февр. 2024 г. · In the era of Large Language Models (LLMs), Knowledge Distillation (KD) emerges as a pivotal methodology for transferring advanced capabilities ...

9 окт. 2024 г. · Distillation creates a smaller version of an LLM. The distilled LLM generates predictions much faster and requires fewer computational ...

21 сент. 2023 г. · We introduce distilling step-by-step, a new simple mechanism that allows us to train smaller task-specific models with much less training data.

This document is for engineers and ML practitioners interested in LLM distillation for production applications.

2 июн. 2024 г. · Distillation of LLMs aren't really used these days as the compute used is almost the same as training a model from scratch.

20 февр. 2024 г. · This survey delves into knowledge distillation (KD) techniques in Large Language Models (LLMs), highlighting KD's crucial role in transferring advanced ...

In this tutorial we'll demonstrate an end-to-end workflow for natural language processing, using model distillation to fine-tune a BERT model with labels ...

3 мая 2023 г. · We introduce Distilling step-by-step, a new mechanism that (a) trains smaller models that outperform LLMs, and (b) achieves so by leveraging less training data.