Since the launch of the Gemini 2.0 Flash Model family, developers have discovered new use cases for this highly efficient model family. Gemini 2.0 Flash offers more powerful performance with 1.5 Flash and 1.5 Pro, plus simplified pricing that makes the 1 million token context windows even more affordable.
Today, Gemini 2.0 Flash-Lite is commonly available in the Gemini API for enterprise customers of Google AI Studio and Vertex AI. 2.0 flashlights improve performance over 1.5 flashes across inference, multimodal, mathematics and de facto benchmarks. For projects that require a long context window, 2.0 flashlight is an even more cost-effective solution, simplifying pricing for prompts that exceed 128K tokens.
Developers are already leveraging the speed, efficiency and cost-effectiveness of the 2.0 Flash family to build incredible applications. Here are some examples:
1. Audio ai
Building effective conversational AI, especially voice assistants, requires both speed and accuracy. Fast Time (TTFT) along with the ability to create a complex and responsive feel, process complex instructions, and interact with other systems via function calls, as well as time to fast time (TTFT) is essential.
Daily leverages Gemini 2.0 Flash-Lite to enable developers to create cutting-edge voice AI experiences. Using open source of the vendor’s Agothic Pipecat framework for voice and multimodal conversation agents, Daily has created a system instruction code demo that reliably detects voicemail systems and adjusts messages accordingly .
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With the above system instructions, Gemini 2.0 Flash-Lite is significantly better than the current special commercial model for detecting voicemail.
2. Data analysis
Dawn is revolutionizing the way engineering teams monitor AI products in production by providing deep, meaningful insights powered by Gemini 2.0 Flash. Dawn’s “semantic monitoring” pipeline allows engineering teams to instantly search large streams of user interactions to find the behavior they are looking for, including user frustration, conversation length, user feedback, and more. , can be continuously tracked as an ongoing issue or topic. The hidden problems of production.
With Gemini 2.0 Flash’s simplified pricing, reliable structured output, and enhanced context capabilities, Dawn will switch models, reduce costs by more than 90%, and see increased reliability across avoidance. This allows you to significantly reduce search times (less than 1 minute from time) and production monitoring.
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Gemini 2.0 Flash makes Dawn’s semantic monitoring faster, more reliable and more cost-effective.
3. Video Editing
Mosaic uses a new agent paradigm that uses Gemini 2.0 flash to transform complex and time-consuming video editing tasks. Their solution incorporates a multimodal editing agent that uses Gemini 2.0 Flash’s long contest feature, which parts of the long form video with prompts to accelerate mediocre video editing tasks from hours to seconds. You can also clip from YouTube shorts like.
The new simplified price of Gemini 2.0 Flash at $0.10 per million input tokens in Google Studio opens new possibilities for AI-driven video editing workflows.
Using Gemini 2.0 Flash, Mosaic’s Agent Workflow cuts and edits YouTube shorts from recent release notes episodes.
Start building with Gemini 2.0 Flash and 2.0 Flash-Lite
We are excited that the Gemini 2.0 Flash family models are enabling developers like Daily.co, Mosaic, Dawn and more. Whether you’re working on an audio assistant, video editing tool, or something all-new, we hope that the Gemini 2.0 Flash family offers the performance and affordability you need. We’re starting to build today with Google AI Studio.
