Cohere has enhanced its fine-tuning infrastructure, resulting in improved quality and accuracy across various sectors such as financial services, legal, human resources, technology, and retail. Their refined system allows for rapid training and deployment of AI models, enabling developers to train a model in just 30 minutes and deploy it in under a minute, thanks to an efficient TPU allocation process that minimizes job failures and wait times. The company offers affordable pricing options for AI applications, focusing on cost efficiency to facilitate scalability. For instance, fine-tuning a smaller model like Command Light on a dataset of 1 million tokens over two cycles costs around $2 USD, and this approach can yield better performance at lower latency and cost compared to using the models out-of-the-box. Fine-tuning also offers more consistent results without the need for prompt engineering. Cohere's new offering allows developers to access a fine-tuning dashboard for customized solutions with inference pricing equivalent to base models.