OpenAI’s Foundry platform is designed for customers running larger workloads, and includes access to GPT-3.5, the latest machine learning model from OpenAI. With Foundry, customers can run models on dedicated capacity without having to rely on public servers. This gives customers more control over their data and allows them to amass larger datasets more quickly than would be possible through traditional means.
The Foundry inference platform provides full control over the configuration and performance profile of machine learning models, allowing users to infer at scale with minimal latency. This ability to quickly acquire accurate insights allows organizations tomake quick decisions and capitalize on trends in their data.
If Foundry launches as described, it will be a valuable tool for clients looking to directly activate large public compute resources in order to accelerate their machine learning efforts. OpenAI has long advocated for static allocations of compute capacity on public clouds due to the ease with which customers can monitor individual instances, and Foundry is likely to provide similar tools and enhancements. The platform also provides some version control features, letting customers decide if they want new model releases installed or if they would rather focus on fine-tuning the models currently running.
The Foundry will also offer service-level commitments for instance uptime and on-calendar engineering support. Rentals will be based on dedicated compute units with three-month or one-year commitments; running an individual model instance will require a specific number of compute units (see the chart below). In order to ensure that tenants have the necessary resources to fully utilize their services, the Foundry is also introducing a new pricing scheme which encourages everyone to act as part of a larger collaborative network. For every two rental computing units used, one additional rental unit is provided at no additional cost. This means that customers can effectively double their investment without increasing their overall expense
There are a few factors that restrict the use of GPT-3.5 for large-scale simulation purposes. Firstly, it is significantly more expensive than its competitors, with running a lightweight version costing $78,000 for a three-month commitment or $264,000 over a one-year commitment. Secondly, instances will not be dirt cheap; running a lightweight version on Nvidia’s DGX Station costs $149,000 per unit. These prices will likely remain prohibitively high for many organizations looking to conduct large-scale simulations using GPT-3.5 in the near future.
Many text-generating models commonly used in natural language processing require a certain amount of context, or information about the surrounding sentence, in order to generate additional text. A new model, GPT-3.5, listed in the instance pricing chart with a 4k max context window suggests that it is likely the long-awaited GPT-4 — or perhaps even a stepping stone toward it.
Some investors say that OpenAI’s rapid expansion is putting the company in a difficult position. It has been pumping millions of dollars into new endeavors, like building bots that can beat professional human players at video games, and it is unlikely to turn a profit soon.
The high costs associated with training state-of-the-art AI models means that most manufacturers aren’t able to deploy them in their products. This leaves a significant opportunity for companies like Apple and Amazon to enter the market and provide their users with conversational assistants powered by AI. By creating these assistants, these companies are not only able to offer a more convenient experience, but they are also able to reduce the costs associated with deploying AI models in products.
ChatGPT was created with the goal of increasing communication between humans and machines. The app allows users to have quick conversations with bots without having to learn a new programming language. The app is available for free on the App Store and Google Play, and it can be used to talk to any chatbot, human or machine.
OpenAI’s technology continues to be used by major businesses and organizations, including Microsoft. OpenAI’s Copilot code-generating service is also useful for developers, allowing them to generate new code in a more comfortable and accessible format.
