A Large Language Model for IT Operations
Les fonctionnalités principales de hc-guo/owl sont : General Purpose Models, Industry Specific Models, Evaluation Benchmarks.
Les alternatives open-source à hc-guo/owl incluent : openlmlab/moss — MOSS is a conversational AI platform, fine-tuning toolkit, and quantized model runtime. It provides a framework for… amzxyz/rime_wanxiang — This project is a CJK input method framework and configuration set designed for the Rime input engine. It provides a… agrigpts/agrigpts — Research and Development of Agricultural Large Models|农业大模型研究与开发. alibaba-nlp/ecomgpt — An Instruction-tuned Large Language Model for E-commerce. atla-ai/selene-mini — 🛝 Playground | 📄 Technical report | 💻 GitHub | 👀 Sign up for the API. abacaj/mpt-30b-inference — Run inference on the latest MPT-30B model using your CPU. This inference code uses a ggml quantized model. To run the…
MOSS is a conversational AI platform, fine-tuning toolkit, and quantized model runtime. It provides a framework for deploying large language models capable of multi-turn dialogue, general-purpose response generation, and following complex instructions. The system functions as a tool-augmented framework that extends model knowledge through external plugins and tool-call loops. This allows the model to execute tasks via search engines and calculators to augment responses with external data. The project covers model training through supervised conversational fine-tuning and optimizes deployment
This project is a CJK input method framework and configuration set designed for the Rime input engine. It provides a comprehensive system of schemas and dictionary packs to optimize Chinese character entry through pinyin and double-pinyin workflows. The framework is distinguished by its use of Lua-powered extensions that add dynamic utilities, such as inline mathematical calculators, automated timestamps, and text formatting, directly to the input interface. It also features refined word libraries and language models specifically tuned to improve prediction accuracy and first-choice hit rates
An Instruction-tuned Large Language Model for E-commerce
