GitHub - young-geng/EasyLM: Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

LLM-PowerHouse: A Curated Guide for Large Language Models with Custom Training and Inferencing

Welcome to LLM-PowerHouse, your ultimate resource for unleashing the full potential of Large Language Models (LLMs) with custom training and inferencing. This GitHub repository is a comprehensive and curated guide designed to empower developers, researche... See more

TL;DR

LLMLingua utilizes a compact, well-trained language model (e.g., GPT2-small, LLaMA-7B) to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss.

LLMLingua: Compressing Prompts for Accelerated Inference of La

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Boosting annotator efficiency with Large Language Models

In July and August, we released LLM-assisted recipes for data annotation and prompt engineering:

• NER: ner.llm.correct, ner.llm.fetch


• Spancat: spans.llm.correct, spans.llm.fetch


• Textcat: textcat.llm.correct, textcat.llm.fetch


• Prompt engineering and terms: ab.llm.tournament terms.llm.fetch

Prodigy's