Data processing with ML and LLM
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Updated
Jul 19, 2024 - Python
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
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
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
Amazon SageMaker Local Mode Examples
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
A comprehensive, unified and modular event extraction toolkit.
A tool for generating function arguments and choosing what function to call with local LLMs
Post-process Amazon Textract results with Hugging Face transformer models for document understanding
Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.
Exact structure out of any language model completion.
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