A Gradio web UI for Large Language Models with support for multiple inference backends. - oobabooga/text-generation-webui
Text generation web UI A Gradio web UI for Large Language Models. Its goal is to become the AUTOMATIC1111/stable-diffusion-webui of text generation. Features 3 interface modes: default (two columns), notebook, and chat Multiple model backends: transformers, llama.cpp, ExLlama, ExLlamaV2, Au...
Here are some of the tasks LLMs are commonly used for: General-purpose chatbots (like ChatGPT and Google Gemini) Summarizing search results and other information from around the web Customer service chatbots that are trained on your business's docs and data Translating text from one language ...
一些研究通过集成如分层可导航小世界(Hierarchical Navigable Small World,HNSW)近似等技术,实现了更快的数据检索。此外,采用Bing API作为基于实际用户搜索历史的索引工具的方法,如Webgpt所示,展示了目前研究中的索引技术多样性。 MEMWALKER提出了一种通过创建输入文本的记忆树来突破LLMs上下文窗口大小限制的创新方法。这种...
text generation scriptwas used to run inference on the Llama models. The Hugging Faceoptimum-habanalibrary makes it simple and easy to deploy these models with minimal code changes on Gaudi accelerators. InFigure 1, we see that for 128 to 2K input tokens, Gaudi2 inference latency for the 7B...
Once the damaged structural sub-models, deriving from the original undamaged one, and the network of sensors are defined, the dataset generation for the training of the DNN can be set up. This process, summarised in Figure 5, consists of the following steps: Figure 5. Dataset generation and...
To achieve the task, Coscientist uses web search and code execution with the RDKit chemoinformatics package. Chemical reasoning capabilities The system demonstrates appreciable reasoning capabilities, enabling the request of necessary information, solving of multistep problems and generation of code for ...
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate...
2. RANKGEN:a generation ranker 通过大规模的对比学习来训练RANKGEN,拉近prefix向量与gold completion之间的距离而推远prefix向量与negative的样本的距离。作者提供了两种构造负样本的方法,并实验证明了传统的语言模型无妨将gold continuations与负样本区分开来。 2.1 语言模型无法区分负样本与gold continuations 作者构造了...
A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, OPT, and GALACTICA. - psema4/text-generation-webui