#大语言模型#Data processing with ML, LLM and Vision LLM
#计算机科学#🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
#自然语言处理#中文nlp解决方案(大模型、数据、模型、训练、推理)
#大语言模型#Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Social networking platform with automated content moderation and context-based authentication system
#大语言模型#Label, clean and enrich text datasets with LLMs.
#大语言模型#Simple UI for LLM Model Finetuning
#自然语言处理#a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
翻译 - 一个快速且用户友好的工具,用于在CPU和GPU上进行变压器推断
#向量搜索引擎#Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
#计算机科学#[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
#自然语言处理#Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary...
#自然语言处理#Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E ...
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
#自然语言处理#Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
#自然语言处理#Fast Inference Solutions for BLOOM
#自然语言处理#[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
#大语言模型#Exact structure out of any language model completion.
#自然语言处理#Keywords to Sentences
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
Serverless LLM Serving for Everyone.