🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
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Updated
Mar 19, 2024
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Social networking platform with automated content moderation and context-based authentication system
中文nlp解决方案(大模型、数据、模型、训练、推理)
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 including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
Data processing with ML and LLM
Easy-Translate is a script for translating large text files with a SINGLE COMMAND. Easy-Translate is designed to be as easy as possible for beginners and as seamlesscustomizable and as possible for advanced users.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
Simple UI for LLM Model Finetuning
Label, clean and enrich text datasets with LLMs.
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.ai.
Fast Inference Solutions for BLOOM
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Build and train state-of-the-art natural language processing models using BERT
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Amazon SageMaker Local Mode Examples
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