Showing 41-60 of 99 projects
Efficient fine-tuning of the ChatGLM-6B language model using PEFT, enabling vibe coders to customize LLMs for their needs.
An open-source cookbook for getting started with Phi, a family of high-performance small language models from Microsoft.
A Python library that helps diagnose and curate datasets for data-centric AI applications.
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
Open-source CodeT5 language models for understanding and generating code
A comprehensive multimodal system for long-term streaming video and audio interactions using large language models.
A benchmark for multimodal AI agents to tackle open-ended tasks in real computer environments.
A curated list of awesome papers about unifying large language models (LLMs) and knowledge graphs (KGs).
An official implementation of a time series forecasting model using large language models.
EasyLM is a one-stop solution for pre-training, fine-tuning, evaluating, and serving large language models (LLMs) in JAX/Flax.
An open-source multi-modal AI model based on LLaMA-3.8B for vibe coders to build with AI tools.
A Keras implementation of BERT for feature extraction and prediction tasks.
A modular reinforcement learning library to fine-tune language models to human preferences
Large Concept Models for language modeling in a sentence representation space using PyTorch.
Run Mixtral-8x7B language models on Colab or consumer desktops with offloading capabilities.
A powerful BERT-based language model for natural language understanding and representation learning.
A curated list of papers that integrate knowledge graphs and large language models for AI and NLP research.
A PyTorch toolkit for training and evaluating LSTM and QRNN language models.
A curated list of efficient and compressed large language models for developers to explore.
MotionGPT is a unified motion-language generation model that can generate human motion using large language models.
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