This repo contains the source code of the Python package loralib and several examples of how to integrate it with PyTorch models, such as those in Hugging Face. We only support PyTorch for now. See our paper for a detailed description of LoRA. LoRA: Low-Rank Adaptation of Large Language Models Edward J. Hu*, Yelong Shen*, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Ch
[2024.01.15] We release Easytool for easier tool usage. The code and datasets are available at EasyTool. The paper is available at EasyTool: Enhancing LLM-based Agents with Concise Tool Instruction. [2023.11.30] We release TaskBench for evaluating task automation capability of LLMs. The code and datasets are available at TaskBench. The paper is available at TaskBench: Benchmarking Large Language M
Fixes #30553 TSLint Rules from scripts/tslint are located here - scripts/eslint - TODO: no-increment-decrement -> no-plusplus (completely disallows ++, --, however, custom no-increment-decrement rule behaves differently. maybe better to implement no-increment-decrement as it was) I added debug information to no-increment-decrement, for both cases: case ts.SyntaxKind.PrefixUnaryExpression: and case
This document outlines our focused tasks for TypeScript 3.6, as well as some of the discussion that explains how/why we prioritized certain work items. Nothing is set in stone, but we will strive to complete them in a reasonable timeframe. Note that this release shifts TypeScript from a 2-month release cycle to a 3-month release cycle. Dates 3.5 ships (May 29th) TypeScript 3.6 Beta Snap on July 12
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