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By implementing AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face using Python, you will embark on an exciting project-based learning journey. With LangChain, you will gain the skills and knowledge necessary to develop innovative LLM solutions for a wide range...
Python Pinecone + Vercel RAG application, showcasing a comparison between chat with no context and using a Pinecone index for context aipineconevercelgen-ai UpdatedFeb 1, 2024 HTML This repository aims to showcase how to finetune a FM model in Amazon EKS cluster using, JupyterHub to provision...
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 | 自动采集/挖矿/锄地 | 一条龙 | 全连音游 - UI Automation Testing Tools For Genshin Impact automatic genshin genshin-impact genius-invokation-tcg auto-play-game Updated Apr 21...
微软DeepSpeed组官方账号,发布AI技术中文博客与资讯 21 人赞同了该文章 我们发布了DeepSpeed-FastGen的大规模更新,包括: 支持Mixtral、Phi-2、Falcon、Qwen模型。 LLM 推理速度最多提高 2.5 倍。 优化SplitFuse 和 token sampling 技术。 RESTful API 及其他新功能。
AI-powered aptamer generation Majid Khabbazian Hosna Jabbari Nature Computational Science News & Views 02 Jun 2022 Sections Figures References Abstract Main Results Discussion Methods Data availability Code availability References Acknowledgements Author information Ethics declarations Peer review Additional ...
Video 2. Controlling a Vision AI Application using REST APIs This first release of DeepStream Service Maker supports C++. Python support will be available in a future release, broadening the tool’s accessibility and versatility. For more information, see theDeepStream Service Maker documentation. ...
我们进行AI音乐生成工具的训练过程,我们使用的训练数据集是音乐描述转为音乐生成。其音乐生成工具的预测过程则是“根据音乐描述生成对应的音乐配乐”。 PC端本地部署应用 这个就是为算法工程师的程序员朋友们准备的了,使用huggingface社区的模型部署工具可能效果不是很理想。
>>> import geffnet >>> # models can also be created by using the entrypoint directly >>> m = geffnet.efficientnet_b2(pretrained=True, drop_rate=0.25, drop_connect_rate=0.2) >>> m.train() Create in a nn.Sequential container, for fast.ai, etc: ...
TheiaEngine is a multi-modal Vision AI API that is built to perform most computer vision tasks from a single API call with the following fundamentals: generalization : give a general context of what is contained and happening in an image communicable : respond to questions and enquiries on spec...