Training and building machine learning models enables computers to perform tasks that would be difficult or impossible for them to do without explicit instructions. In the field of computer vision, machine learning models can be trained to recognize and classify objects in images and videos, which has numerous practical applications, such as self-driving cars and security systems. In natural language processing, machine learning models can be used to understand and generate human language, en...| scale.com
Data labeling is one of the most critical activities in the machine learning lifecycle, though it is often overlooked in its importance. Powered by enormous amounts of data, machine learning algorithms are incredibly good at learning and detecting patterns in data and making useful predictions, all without being explicitly programmed to do so. Data labeling is necessary to make this data understandable to machine learning models.| scale.com
Understand what computer vision is, how computer vision works, and deep dive into some of the top use cases or applications for computer vision by industry.| scale.com
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.| scale.com
Reinforcement learning with human feedback is the key to develop NLG and LLM applications like an AI text generator, AI chatbot, AI content generator, and more.| scale.com
There are numerous applications for Artificial intelligence (AI) in insurance. Advancements in generative AI are enabling accelerated claims processing, claim fraud detection and prevention, and enhanced risk assessment and underwriting.| scale.com
There are numerous applications for Artificial intelligence (AI) in insurance. Advancements in generative AI are enabling accelerated claims processing, claim fraud detection and prevention, and enhanced risk assessment and underwriting.| scale.com
Artificial intelligence is a critical part of accelerating digital transformation in eCommerce and Retail. eCommerce companies are now using AI to create new forms of customer engagement, enhance online checkout solutions, and drive cost-effective processes for digital commerce.| scale.com
Discover Large Language Models (LLMs): what they are, why they matter, use cases and how to implement them with Fine-Tuning, RLHF and Prompt engineering.| scale.com
Scale AI partners with the U.S. DoD'S CDAO to create a comprehensive test and evaluation framework for the responsible use of LLMs within the DoD.| scale.com
