The range of family of Gemini models has expanded in the past year in response to developer needs, introducing faster and more cost-effective models, and enhancing tools in Google AI Studio.
Looking back at the first year of the Gemini era
![unicorns,-pricing-and-naming-with-matt-hodges,-equals-[video]](https://prodsens.live/wp-content/uploads/2024/12/29481-unicorns-pricing-and-naming-with-matt-hodges-equals-video-110x110.png)
Related Posts
How recommerce startup Beni uses AI to help you shop secondhand
Posted by Lillian Chen – Global Brand and Content Marketing Manager, Google Accelerator Programs Sarah Pinner’s passion to…
Do you like scary movies? Build a Halloween Project with Twilio
Halloween is right around the corner, which means it’s time to prepare a costume, stock up on treats,…
Top 5 JSON commands in SQL
Here are sample examples for the Top 5 JSON commands in SQL: JSON_VALUE Purpose: Extracts a scalar value…
