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AI models like ChatGPT and Cohere have evolved from relying on low-cost workers to needing specialized trainers with advanced degrees. This shift is driven by the need for accuracy and the reduction of errors, known as hallucinations, in AI outputs. Companies are now employing experts from various fields, including medicine and finance, to enhance AI training processes.
Invisible Tech has emerged as a key player, employing 5,000 specialized trainers globally to support AI companies like Cohere and Microsoft. The demand for high-quality training is increasing as AI models become more complex, necessitating a workforce that can provide accurate feedback and reduce misinformation. This trend highlights the growing importance of human expertise in the AI development landscape.
• AI models now require trainers with advanced degrees for effective training.
• Invisible Tech employs 5,000 trainers to reduce AI hallucinations globally.
The article discusses how companies are working to reduce hallucinations to improve the reliability of AI systems.
The article highlights the challenges generative AI faces, particularly in producing accurate information.
The article mentions its application in training AI models with human feedback to improve performance.
The company collaborates with Invisible Tech to enhance its AI training processes.
The company has become a key partner for various AI firms to reduce errors in their models.
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