
Google has officially expanded its Gemini 2.0 lineup, introducing advanced AI models available to developers and users globally. The Gemini 2.0 application features enhanced audio transcription capabilities, including speaker labels and precise timestamps, as well as the ability to recognize various sounds such as laughter and ringing bells. Users can upload audio files for transcription, making it particularly useful for podcasts and calls. Additionally, Google is integrating AI-powered conversation summaries into Gemini Live, further enhancing user experience. The Gemini model is gaining traction, becoming the most utilized model on platforms like Langbase. Overall, these updates reflect Google's commitment to leveraging AI for improved functionality and user engagement.



Google x Langbase = ๐ Excited to share: Google just featured Langbase as we see a huge spike in Gemini model usage, quickly becoming the most used model on Langbase. Check out our research on Googleโs blog to learn more. https://t.co/kzECQJJbtj
#Google Will Soon Bring #AI-Powered Conversation Summaries On #Gemini Live: What It Offers https://t.co/Xl7eFIu9S8
๐๐ผ๐ผ๐ด๐น๐ฒ'๐ ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐๐ ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ: ๐๐น๐ถ๐บ๐ฝ๐๐ฒ ๐ถ๐ป๐๐ผ ๐ง๐ฒ๐ฐ๐ต ๐๐ถ๐ฎ๐ป๐'๐ ๐ฎ๐ฌ๐ฎ๐ฑ ๐ฃ๐น๐ฎ๐ป๐ Excited to learn about what Google users can expect from the Gemini Advanced AI? More about this topic can be found here. #Google #GeminiAI #GeminiAdvancedโฆ https://t.co/S3EEXHU3Sm