# AI Training

Dart Zhiwei AI Academy is dedicated to providing high-quality training for career transitions in the AI field. The course content covers AI fundamentals to product implementation, employing an experienced team of instructors to help students build a comprehensive knowledge system. After completing the course, students will be able to find their ideal jobs in the AI industry and enhance their employment competitiveness. Our student employment rate is as high as 85%, and we cooperate with many well-known companies to provide high-paying positions.

SimpleQA is a factual benchmark test released by OpenAI, designed to measure the ability of language models to answer short, factual questions. By providing a dataset characterized by high accuracy, diversity, and challenge, along with a good researcher experience, it aids in evaluating and enhancing the accuracy and reliability of language models. This benchmark is a significant advancement for training models that can generate factually correct responses, helping to increase their credibility and expand their applications.

Flux Gym is a streamlined Web UI designed for FLUX LoRA model training, particularly suited for devices with 12GB, 16GB, or 20GB VRAM. It combines the user-friendliness of the AI-Toolkit project with the flexibility of Kohya Scripts, enabling users to train models without complex terminal operations. Flux Gym allows users to upload images and add descriptions through a simple interface, then start the training process.

Lumen Orbit is an innovative company dedicated to deploying data centers in space. With decreasing costs, the company harnesses 24/7 solar energy and passive radiative cooling technologies available in space to offer sustainable energy solutions without the need for batteries. Lumen Orbit's vision is to leverage the infinite potential of space to create scalable, rapidly deployable data centers that meet the demands of large AI training clusters. The company was founded by a group of ambitious deep-tech engineers with extensive experience in satellite design, software engineering, and artificial intelligence.

Shred is an application designed for personalized digital fitness training, aimed at helping users customize workout plans based on individual goals. It utilizes AI technology to offer tailored fitness guidance, including training programs, video courses, and motivation from a global community. Shred also integrates with Apple HealthKit to track users' steps, weight, and hydration, optimizing workout effectiveness.

Source.Plus is a professional AI training data search platform that enables users to precisely search, filter, and organize the desired datasets through advanced search operators. It supports multiple data sources, including Wikimedia Commons and NMNH - Botany Dept., providing a wide range of image and document resources. The platform also features file uploading capabilities, allowing users to further customize and enrich their datasets. Source.Plus's key advantages include its powerful search capabilities, diverse data sources, and specialized optimization for AI training data.

Unsloth is a platform designed to accelerate the training and fine-tuning of large language models (LLMs). It achieves significant speedups in training without hardware changes by manually deriving all computationally intensive mathematical steps and writing custom GPU kernels. Unsloth supports various GPUs, including NVIDIA, AMD, and Intel, and offers an open-source version for users to freely try on Google Colab or Kaggle Notebooks. It also offers different pricing plans, including Free, Pro, and Enterprise, to meet the needs of diverse users.

WizardLM-2 is the next-generation large language model from WizardLM, offering three model sizes: 8x22B, 70B, and 7B. This product utilizes an AI-driven synthetic data training system, employing data analysis, weighted sampling, progressive learning, and AI-to-AI mutual correction methods to optimize model performance. It can automatically generate high-quality instructions and responses, providing diverse conversational capabilities suitable for various programming and development scenarios.

The Training Panel is a super user-friendly AI training platform designed for beginners. We also offer customizable settings for advanced users. With its clean and intuitive interface, the Training Panel allows users to easily train their own AI models. It supports a variety of machine learning algorithms and deep learning frameworks, including TensorFlow and PyTorch. Users can train and optimize their AI models by uploading datasets, setting training parameters, and monitoring training progress through the Training Panel. The Training Panel also provides model evaluation and prediction functionality, helping users assess model performance and make predictions. Flexible pricing is offered with a free trial and paid subscription options.

OpenDataLab is an open-source data platform that provides high-quality open datasets to support the training and application of large AI models. With a massive capacity, it includes over 5500 datasets covering 1500+ task types, totaling over 80TB of data and exceeding 1,064,500 downloads. The platform offers 30+ application scenarios, 20+ annotation types, and 5 data types. It supports unified standards for data structure, annotation format, and online visualization, enabling open data sharing and intelligent search. It provides structured data information and visualized annotations and data distribution, making it convenient for users to read and filter. The platform offers fast download services, allowing users to quickly download data from domestic cloud servers without using a VPN.

RunPod is a scalable cloud GPU infrastructure for training and inference. Rent cloud GPUs starting at $0.2 per hour, with support for TensorFlow, PyTorch, and other AI frameworks. We provide reliable cloud services, free bandwidth, multiple GPU options, server endpoints, and AI endpoints to suit various needs.