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This is the official code for the paper Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation) (accepted to EMNLP 2023).
The main features of salesforceairesearch/persdistill are: Code Generation and Distillation, Feedback Alignment.
Projects with overlapping indexed features include: apcl-research/jam-cgpt — Proposed by: - Chia-Yi Su - Collin McMillan. codefuse-ai/mftcoder — High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024. facebookresearch/codellama — Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and software… facebookresearch/motif — This repository contains PyTorch code for Motif, training AI agents on NetHack with reward functions derived from an… ise-uiuc/magicoder — 🎩 Models | 📚 Dataset | 🚀 Quick Start | 👀 Demo | 📝 Citation | 🙏 … rucaibox/rlmec — This repo provides the source code & data of our paper: Improving Large Language Models via Fine-grained Reinforcement…
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and software development. It provides specialized model types optimized for general code generation, instruction following, and context-aware infilling. The project includes an instruction-tuned programming model for executing technical tasks via natural language prompts and a code infilling model that predicts missing sections based on surrounding source context. A large context code model is also provided to analyze extensive blocks of source code for improved coherence. The system covers capab
This repository contains PyTorch code for Motif, training AI agents on NetHack with reward functions derived from an LLM's preferences.
