TypeSafe AI has officially released Jev 1.14 under the jev-preview alias, marking a significant upgrade to its AI capabilities. This new version introduces experimental image input, allowing users to incorporate visual data into their interactions with the model. Additionally, the update features a Box bounding-box type, enhancing the model’s ability to handle structured data.
One of the standout features of Jev 1.14 is the opt-in 262k-token context, which enables users to work with a larger amount of input data, priced at $0.042 per million input tokens. This expanded context is designed to improve the model’s understanding and responsiveness, making it a valuable tool for applications requiring extensive data analysis.
As AI continues to evolve, the introduction of these features positions TypeSafe AI as a competitive player in the market, catering to the growing demand for more sophisticated AI solutions. The enhancements in Jev 1.14 reflect the ongoing trend of integrating diverse data types into AI models, paving the way for more comprehensive and versatile applications.
Compiled automatically by the Tech AI Newsdesk from public AI-news sources and summarised in our own words.
Frequently asked questions
What new features does Jev 1.14 include?
Jev 1.14 includes experimental image input and a Box bounding-box type.
How much does the 262k-token context cost?
The opt-in 262k-token context is priced at $0.042 per million input tokens.
