🧠💬 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
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.
Data processing with ML and LLM
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.
Fast Inference Solutions for BLOOM
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 [email protected].
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
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
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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