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Average Ratings 0 Ratings
Description
Ludwig serves as a low-code platform specifically designed for the development of tailored AI models, including large language models (LLMs) and various deep neural networks. With Ludwig, creating custom models becomes a straightforward task; you only need a simple declarative YAML configuration file to train an advanced LLM using your own data. It offers comprehensive support for learning across multiple tasks and modalities. The framework includes thorough configuration validation to identify invalid parameter combinations and avert potential runtime errors. Engineered for scalability and performance, it features automatic batch size determination, distributed training capabilities (including DDP and DeepSpeed), parameter-efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and the ability to handle larger-than-memory datasets. Users enjoy expert-level control, allowing them to manage every aspect of their models, including activation functions. Additionally, Ludwig facilitates hyperparameter optimization, offers insights into explainability, and provides detailed metric visualizations. Its modular and extensible architecture enables users to experiment with various model designs, tasks, features, and modalities with minimal adjustments in the configuration, making it feel like a set of building blocks for deep learning innovations. Ultimately, Ludwig empowers developers to push the boundaries of AI model creation while maintaining ease of use.
Description
Seaweed, an advanced AI model for video generation created by ByteDance, employs a diffusion transformer framework that boasts around 7 billion parameters and has been trained using computing power equivalent to 1,000 H100 GPUs. This model is designed to grasp world representations from extensive multi-modal datasets, which encompass video, image, and text formats, allowing it to produce videos in a variety of resolutions, aspect ratios, and lengths based solely on textual prompts. Seaweed stands out for its ability to generate realistic human characters that can exhibit a range of actions, gestures, and emotions, alongside a diverse array of meticulously detailed landscapes featuring dynamic compositions. Moreover, the model provides users with enhanced control options, enabling them to generate videos from initial images that help maintain consistent motion and aesthetic throughout the footage. It is also capable of conditioning on both the opening and closing frames to facilitate smooth transition videos, and can be fine-tuned to create content based on specific reference images, thus broadening its applicability and versatility in video production. As a result, Seaweed represents a significant leap forward in the intersection of AI and creative video generation.
API Access
Has API
API Access
Has API
Integrations
Aim
Alpaca
Comet
Discord
Docker
Hugging Face
Kubernetes
Llama 2
MLflow
Python
Integrations
Aim
Alpaca
Comet
Discord
Docker
Hugging Face
Kubernetes
Llama 2
MLflow
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Uber AI
Founded
2016
Country
United States
Website
ludwig.ai/latest/
Vendor Details
Company Name
ByteDance
Founded
2012
Country
China
Website
seaweed.video/
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization