language-modeling

Differentiable architecture search for convolutional and recurrent networks

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

Curso práctico: NLP de cero a cien 🤗

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

Full finetuning of large language models without large memory requirements

Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

PyCrust is a CLI tool that converts Python code to Rust using OpenAI's GPT-3.5 language model for code generation. It provides an easy-to-use interface for converting Python code to Rust code, making it easier for Python developers to leverage Rust's performance benefits.

:page_facing_up: Verified Ethereum Smart Contract dataset

Multiple Choice Learning of Low Rank Adapters for Language Modeling

Fine-tune GPT2 to generate fake job experiences