OpenAI announced on July 6, 2023, that the GPT-4 API will be available to any registered API developers who had a positive payment history. So, designers have a wide range of options for incorporating GPT-4 into their products.
The GPT-4 LLM has been trained on a massive text and code corpus. It can generate new words, translate across languages, write a broad variety of creative content, and answer complex questions. GPT-4 has the ability to completely disrupt several markets since it is so much more powerful than previous LLMs.
Applications for GPT – 4
The following are some examples of applications for GPT-4:
1. Chatbots: GPT-4 might be used to create more intriguing and realistic chatbots.
2. Content generation: Content creation using GPT-4 can include a wide variety of article, weblog post, and promotional forms.
3. Translation: GPT-4 is the most advanced version yet in its ability to translate textual content between languages.
4. Coding: Code generation using GPT-4 is useful for both program creation and automation.
5. Education: GPT-4 might be used to give students greater say in their classroom experience.
These examples only scratch the surface of GPT-4’s applications. The widespread availability of the API might inspire even more novel uses of this powerful technology.
A partial list of models that will no longer be supported includes:
- ada
- babbage
- curie
- DaVinci
- DaVinci-instruct-beta
- curie-instruct-beta
- text-ada-001
- text-babbage-001
- text-curie-001
- text-DaVinci-001
- text-DaVinci-002
- text-DaVinci-003
On January4, 2024, these models will be considered obsolete and removed from official support. By this date, developers who are already integrating these models into their projects must have done so. To ensure a seamless transition, OpenAI will offer assistance to users who have previously fine-tuned models.
Some of the reasons why OpenAI is moving away from these models are as follows:
- There is no longer any effort put into improving the models. OpenAI’s main goal is to create more advanced models.
- The models’ performance is inferior to that of more recent designs. The newest models provide better results when asked to create text, translate languages, or answer queries.
- The models are less secure than contemporary alternatives. Because they were given access to more text and code during training, the more recent models are less likely to produce inappropriate material.
These more experienced models will receive drop-in replacements from OpenAI.
Drop-in replacements for the obsolete models will be made available through OpenAI. These updates will mirror the performance of more recent models. As a result, developers won’t have any trouble keeping up with the latest integrations while still benefiting from the same features.
Below are the makes and models that will have suitable drop-in replacements:
1. Completions API: Replacement Application Programming Interfaces (APIs) will follow the ada-002, babbage-002, curie-002, and da Vinci-002 specifications.
2. Embeddings API: API for Embeddings Updates will conform to the standard set by gpt-3.5-turbo-instruct.
By simply upgrading their API keys, developers who are currently utilizing the deprecated models will have access to the drop-in alternatives. OpenAI plans to release further details on the drop-in replacements in the next months.
