Nidhish Waghmare
OpenAI uncovered GPT-4o Mini, a smaller and more affordable version of its language model. Priced at just 15 cents per million input tokens and 60 cents per million output tokens to provide more accessibility.
The other models of OpenAI
OpenAI is an American artificial intelligence research organization established in December 2015 in San Francisco, California. Its main goal is to enhance productivity, innovation and improve various industries through its services.
It has many models that help in transforming technologies like GPT-4o, GPT-4 Turbo & GPT-4, GPT-3.5 Turbo, DALL.E and many more. Moreover, OpenAI frequently updates its models like GPT to improve its service and it is exploring new AI techniques and methodologies to stay at the forefront in the advancement and development of the latest technologies.
GPT-4o Mini a low-cost version
GPT- 4o Mini provides a wide range of services with its low cost and latency. The o in GPT-4o stands for omni and GPT-4o has improved audio, video and text capabilities, ability to handle 50 different languages with the quick speed and quality.
“Our mission is to make intelligence as broadly accessible as possible,” said Sam Altman, CEO of OpenAI. “GPT-4o mini is a major step forward in that direction, offering developers and businesses a cost-effective way to leverage the power of large language models.”
Exceptional features to enhance services
GPT-4o mini, a more cheaper and reliable model supports text and vision inputs for the time being but it is planning to include image, video, and audio inputs and outputs in the future. Also it has a context window of 128K tokens and supports up to 16K output tokens per request, with knowledge updated until October 2023. Its new improved tokenizer enhances the non-English text.
This model has robust safety measures as it filters out the harmful content during training and uses RLHF to provide better safety policies. Moreover, it has more amplified its services in the field of both academic and practical problems to excel, for example,GPT-4o mini scored 87 per cent in mathematical reasoning and 87.2 per cent in coding performance on benchmarks like MGSM and HumanEval, respectively.
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