EverythingAI API
AI tasks trained without the need for dedicated large datasets.
What it does
This API can detect deepfakes, convert speech to text, analysis of ASL sign language, etc. without needing to be trained on any dataset. This is possible thanks to Gemini Flash 1.5 and their "Imposition-Context" technique.
This API currently includes AI tasks such as: deepfake detection, multilingual speech-to-text conversion with results exceeding whisper-large-v3 on multilingual audio, detailed and accurate analysis and interpretation of sign language in videos, classification of up to 80 emotional states of text in just 2 seconds, and OCR with character detection and accuracy comparable to existing large OCR systems. And I am still working on integrating more AI tasks.
If we simply feed the video to Gemini Flash 1.5 on its own, it won't be able to detect the deepfake. You can see here, Gemini Flash 1.5 is struggling to identify the deepfake. This is why I developed the "Imposing-context" prompting technique.
Instead of the traditional approach where the user prompts the model and waits for it to interpret the context on its own, "Imposing-context" directly dictates the model's output history. The model itself doesn't actually write the responses, those are written by me.
But when it looks at the chat history, it mistakenly believes it generated those answers. This forces it to understand the user's intent. As you can see, this approach gives amazing results. Gemini Flash 1.5 is not only able to analyze deepfakes but also achieves incredible accuracy.
Built with
- API AI
Team
By
ShynAI
From
Vietnam