Resultado da Busca
At Salesforce, we build an AI coding assistant demo using CodeT5 as a VS Code plugin to provide three capabilities: Text-to-code generation : generate code based on the natural language description. Code autocompletion : complete the whole function of code given the target function name.
2 de set. de 2021 · We present CodeT5, a unified pre-trained encoder-decoder Transformer model that better leverages the code semantics conveyed from the developer-assigned identifiers. Our model employs a unified framework to seamlessly support both code understanding and generation tasks and allows for multi-task learning.
13 de mai. de 2023 · We extensively evaluate CodeT5+ on over 20 code-related benchmarks in different settings, including zero-shot, finetuning, and instruction-tuning. We observe state-of-the-art (SoTA) model performance on various code-related tasks, such as code generation and completion, math programming, and text-to-code retrieval tasks.
CodeT5 achieves state-of-the-art performance on multiple code-related downstream tasks including understanding tasks such as code defect detection and clone detection, and generation tasks across various directions including PL-NL, NL-PL, and PL-PL. In what follows, we will explain how CodeT5 works.
CodeT5+. Official research release for the CodeT5+ models ( 220M, 770M, 2B, 6B 16B) for a wide range of Code Understanding and Generation tasks. Find out more via our blog post. Title: CodeT5+: Open Code Large Language Models for Code Understanding and Generation.
20 de jun. de 2024 · To address these limitations, we propose “CodeT5+”, a family of encoder-decoder LLMs for code in which component modules can be flexibly combined to suit a wide range of code tasks.
16 de mai. de 2023 · Proposes CodeT5+: a family of encoder-decoder (shallow encoder and deep decoder) large language models (LLMs) for downstream code tasks. Multilingual code corpora with many objectives (span denoising, contrastive learning, text-code matching, etc.).
