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Practical course about Large Language Models.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

Interface for OuteTTS models.

🩹Editing large language models within 10 seconds⚡

Scalable and memory-optimized training of diffusion models

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

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

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

Build high-performance AI models with modular building blocks

RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...

Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

Text2Text Language Modeling Toolkit

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.

Universal 1d/2d data containers with Transformers functionality for data analysis.