Free fine-tuning allows OpenAI customers to train the GPT-4o mini model on additional data at no charge until September 23, starting with Tier 4 and Tier 5 users. Credit: Andrew Neel OpenAI is offering free fine-tuning on its new GPT-4o mini model, allowing users to train the model on additional data at no charge to enable higher performance for specific use cases. GPT-4o mini fine-tuning is available to developers in OpenAI’s Tier 4 and 5 usage tiers, which are the highest-priced tiers among OpenAI’s plans. OpenAI plans to gradually expand access to free fine-tuning to all tiers. Free fine-tuning will be offered now through September 23. Developers can start fine-tuning GPT-4o mini for free by visiting their fine-tuning dashboard, clicking “create,” and selecting “GPT-4o mini” from the base model drop-down menu. Each organization gets 2M training tokens per 24-hour period to train the model. Any overage will be charge $3.00 per 1M tokens. More details on free fine-tuning are offered in OpenAI’s fine-tuning docs. Compared to fine-tuning with OpenAI’s GPT 3.5 Turbo, GPT-4o mini is positioned to be more cost-efficient and more capable, with longer context and lower latency. GPT-4o mini was launched July 18 with the intention of expanding the range of applications built with AI by making intelligence more affordable. It enables a range of tasks such as applications that chain or parallelize model calls, pass a large volume of context to the model, or interact with customers through fast real-time text responses, such as customer support chatbots. Related content analysis Azure AI Foundry tools for changes in AI applications Microsoft’s launch of Azure AI Foundry at Ignite 2024 signals a welcome shift from chatbots to agents and to using AI for business process automation. By Simon Bisson Nov 20, 2024 7 mins Microsoft Azure Generative AI Development Tools analysis Succeeding with observability in the cloud Cloud observability practices are complex—just like the cloud deployments they seek to understand. The insights observability offers make it a challenge worth tackling. By David Linthicum Nov 19, 2024 5 mins Cloud Management Cloud Computing news Akka distributed computing platform adds Java SDK Akka enables development of applications that are primarily event-driven, deployable on Akka’s serverless platform or on AWS, Azure, or GCP cloud instances. By Paul Krill Nov 18, 2024 2 mins Java Scala Serverless Computing analysis Strategies to navigate the pitfalls of cloud costs Cloud providers waste a lot of their customers’ cloud dollars, but enterprises can take action. By David Linthicum Nov 15, 2024 6 mins Cloud Architecture Cloud Management Cloud Computing Resources Videos