Fake News Detection LLM Development
Budget: $30 – $250 USD
I need a comprehensive system design and development pipeline for a fake news detection open-source LLM with image input capability, ex: Ollama with LLava. This project will be hosted on Huawei Cloud and will include:
LLM Development and Deployment:
- Fake news detection from text and images.
- Explanation/rationale for predictions.
- URL sources to support predictions.
- Confidence score for predictions.
APIs for Fact-Checking:
- Fact-checking news in images/screenshots using OCR.
Front-end Interface:
- User-friendly interface to interact with the deployed LLM.
Utilize client-provided blob storage containing news images with labels/tags/metadata on Huawei Cloud.
Ideal Skills and Experience:
- Expertise in LLMs, image input modality, and OCR.
- Experience with Huawei Cloud services.
- Basic front-end development skills.
- Knowledge in designing and integrating APIs.
Looking for a developer who can provide the system design and development pipeline.
LLM Development and Deployment:
- Fake news detection from text and images.
- Explanation/rationale for predictions.
- URL sources to support predictions.
- Confidence score for predictions.
APIs for Fact-Checking:
- Fact-checking news in images/screenshots using OCR.
Front-end Interface:
- User-friendly interface to interact with the deployed LLM.
Utilize client-provided blob storage containing news images with labels/tags/metadata on Huawei Cloud.
Ideal Skills and Experience:
- Expertise in LLMs, image input modality, and OCR.
- Experience with Huawei Cloud services.
- Basic front-end development skills.
- Knowledge in designing and integrating APIs.
Looking for a developer who can provide the system design and development pipeline.