AI for developers

Contextual results using Retrieval Augmented Generation

Provide contextually accurate and relevant information to drive better decision-making. Combine the power of LLMs and knowledge bases that leverage proprietary and current data.

Generation

Create content in response to text prompts that can range from short and simple to long and complex.

Inference

Analyze live data, recognize patterns, and make accurate predictions about what comes next in a data set, drawing conclusions from data that the model hasn’t seen before.

Model training and fine-tuning

Learn about the process of feeding data to selected algorithms to help the system refine itself to produce accurate responses to queries.

Extraction and summarization

Condense large amounts of information into shorter, more concise forms while preserving key points, context, and essential information.

Natural language processing

Use natural language queries rather than writing SQL when interacting with data. Explore solutions to achieve faster AI adoption in application development.