Simplifying AI tool selection for every need.
Connect with leading AIopportunities.
Make money promoting AI tools.
Stay informed with the latest AI trends.
Stay informed with the latest AINews.
Learn how we safeguard the tools listed to keep you safe.
The story and vision behind our AI quest.
Discover how AI is driving change in businesses like yours.
Share this link via
Or copy link
Please login to add in Bookmark.
GGML is the perfect tool for data scientists and machine learning engineers looking to create and deploy accurate machine learning models. Our library is designed to help you get the most out of your existing hardware with tensor support for models of any size. With GGML, you can build and deploy sophisticated machine learning models quickly and efficiently, without the need for specialized hardware or expensive software. Our library supports a wide range of popular machine learning algorithms, allowing you to quickly and accurately train models on large datasets. Our library provides you with the flexibility to create models for any task, no matter the size or complexity. With GGML, you can build the most powerful and accurate machine learning models with ease.
Last Update: 1 year ago
- Disclaimer: Statistics sourced from third-party providers. Accuracy may fluctuate.
Be the first to share your experience and contribute to the community! Review now!
Amazing, Thats all!
Test regular expressions in real-time, identify, and correct code errors using an intuitive interface.
Find vector info quickly, with an intuitive UI and visualization tools for exploring search results.
Translate queries to SQL, validate for errors, and analyze data from multiple databases effortlessly.
Analyze, share, and automate code reports for improved quality and security.
Automate code generation, manage software dependencies and deployments, and receive comprehensive support and training.
Generate production-grade software, automate development, navigate, and understand UI quickly and easily.
Efficiently find the best model with SOTA methods, evaluate configurations, and generate accurate results.
Write code once, run on multiple platforms; optimize, transform syntax, and add support for latest web tech.
Automatically review and fix code issues, including best practices, security vulnerabilities, and technical debt.
Automatically detects and fixes syntax errors, improves readability, and allows quick search and replace of code sections.
Identify errors and vulnerabilities, automate code review and feedback, customize code analysis to meet team needs.
Create, store, and securely share code repositories, while integrating with other AWS services.
