OpenAI reveals tools to boost building of AI voice assistants
The Microsoft-backed start-up said a new real-time tool would allow developers to create applications with a single set of instructions
02 October 2024 - 14:49
byArsheeya Bajwa and Anna Tong
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Bengaluru/San Francisco — OpenAI unveiled many new tools on Tuesday that would make it easier for developers to build applications based on its artificial intelligence technology, as the ChatGPT maker wrestles with tech giants to keep up in the generative AI race.
The Microsoft-backed start-up said a new real-time tool, rolling out immediately for testing, would allow developers to create AI voice applications using a single set of instructions.
The process earlier required developers to go through at least three steps: transcribing audio, running the generated-text model to come up with an answer to the query and using a separate text-to-speech model.
Much of OpenAI’s revenue comes from businesses that use its services to build their own AI applications, making the rollout of advanced capabilities a key selling point.
Competition has also been heating up as technology giants, including Google parent Alphabet, integrate AI models capable of crunching different forms of information such as video, audio and text across their businesses.
OpenAI expects its revenue to jump to $11.6bn next year from an estimated $3.7bn in 2024. The company is also amid a $6.5bn fundraise that could value it at $150bn.
As part of Tuesday’s rollout, OpenAI introduced a fine-tuning tool for models after training that would allow developers to improve the responses generated by models using images and text.
This fine-tuning process can include feedback from humans who feed the model examples of good and bad answers based on its responses.
Using images to fine-tune models would give them stronger image understanding capabilities, enabling applications such as enhanced visual search and improved object detection for autonomous vehicles, OpenAI said.
The start-up also unveiled a tool that would allow smaller models to learn from larger ones, with “Prompt Caching” that cuts some development costs by half by reusing pieces of the text AI has previously processed.
Support our award-winning journalism. The Premium package (digital only) is R30 for the first month and thereafter you pay R129 p/m now ad-free for all subscribers.
OpenAI reveals tools to boost building of AI voice assistants
The Microsoft-backed start-up said a new real-time tool would allow developers to create applications with a single set of instructions
Bengaluru/San Francisco — OpenAI unveiled many new tools on Tuesday that would make it easier for developers to build applications based on its artificial intelligence technology, as the ChatGPT maker wrestles with tech giants to keep up in the generative AI race.
The Microsoft-backed start-up said a new real-time tool, rolling out immediately for testing, would allow developers to create AI voice applications using a single set of instructions.
The process earlier required developers to go through at least three steps: transcribing audio, running the generated-text model to come up with an answer to the query and using a separate text-to-speech model.
Much of OpenAI’s revenue comes from businesses that use its services to build their own AI applications, making the rollout of advanced capabilities a key selling point.
Competition has also been heating up as technology giants, including Google parent Alphabet, integrate AI models capable of crunching different forms of information such as video, audio and text across their businesses.
OpenAI expects its revenue to jump to $11.6bn next year from an estimated $3.7bn in 2024. The company is also amid a $6.5bn fundraise that could value it at $150bn.
As part of Tuesday’s rollout, OpenAI introduced a fine-tuning tool for models after training that would allow developers to improve the responses generated by models using images and text.
This fine-tuning process can include feedback from humans who feed the model examples of good and bad answers based on its responses.
Using images to fine-tune models would give them stronger image understanding capabilities, enabling applications such as enhanced visual search and improved object detection for autonomous vehicles, OpenAI said.
The start-up also unveiled a tool that would allow smaller models to learn from larger ones, with “Prompt Caching” that cuts some development costs by half by reusing pieces of the text AI has previously processed.
Reuters
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