GEN AI

Generative AI
- Design and develop AI models that can generate content such as text, images, or music.
- Research and implement state-of-the-art generative algorithms.

## Open AI Language Models
- Develop and fine-tune language models using OpenAI's frameworks.
- Implement model training pipelines and manage large-scale datasets.

## Prompt Engineering
- Design and create effective prompts to elicit desired responses from AI models.
- Experiment with different prompt formulations to improve model accuracy and relevance.

## Azure Generative AI Service
- Deploy and manage generative AI models on Azure cloud services.

## Large Language Models
- Develop and maintain large-scale language models for various applications.
- Conduct research to improve language model architectures and training techniques.

## Microsoft Copilot
- Develop and integrate Copilot features into software development tools.
- Collaborate with developers to understand their needs and enhance Copilot's capabilities.

## AI Chat
- Design and implement AI chat systems for customer support and engagement.
- Train and fine-tune chat models to handle a wide range of queries and scenarios.

Machine Learning
- Develop and deploy machine learning models for predictive analytics and data insights.
- Design and implement data pipelines for model training and evaluation.