Develop a generative AI application with features such as search, summarization, chat, and content generation.
This Involves
Building Gen AI applications accessible as web applications.Exploring cloud options like AWS, Azure, and GCP.Selecting suitable libraries, models, and architecture for Client's requirements.Developing Gen AI-based applications for insurance.Designing data pipelines, including data collection, processing, and validation.Deploying and fine-tuning the model with required updates.
Deliverables
Ideation and refinement of requirements.Initial AI research and findings.Selection of AI models and vectorization solution.Recommendations for suitable models.Leading and participating in conceptual discussions.Developing a Proof of Concept (POC) application.Deploying a production-ready application meeting Client's business, security, and compliance standards.Prompt engineering, algorithm embedding, and performance tuning.Integration with authorization systems.Model tuning and AI design improvements based on business feedback.Proactively suggesting the latest available models or libraries.
Technology Stack
PythonPyTorchTransformers (Hugging Face)MongoDBPyCharm, IDLE, Visual Studio CodeGitHub