Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference
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Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Everything you need to know to build your own RAG application
Build a modern LLM from scratch. Every line commented. Explained like we are five.
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Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
SoTA LLM for converting natural language questions to SQL queries
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
中文nlp解决方案(大模型、数据、模型、训练、推理)
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Automatic Generation of Visualizations and Infographics using Large Language Models
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
Runs 405B LLMs on 8GB VRAM
LLMs-from-scratch项目中文翻译
HuggingLLM, Hugging Future.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型
LLM Finetuning with peft
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning