✨Our Features

Dataset Management

• Data Integration: Collect data from a wide range of sources, including embedded agent collectors, databases, cloud storage services like Google Drive and OneDrive.

• Data Cleaning and Transformation: Utilize our proprietary AI model, "Astro," to automate the preprocessing and transformation of data into formats suitable for instruction-based LLMs.

Efficient Model Training and Fine-Tuning

• Customizable Fine-Tuning: Leverage your own hardware or use PropulsionAI's infrastructure for fine-tuning models to meet specific requirements.

• Instruction-Based LLM Preparation: Convert data into formats such as question and answer formats, significantly reducing the time and effort needed for model training.

Comprehensive Model Evaluation

• Orion Model: Evaluate your trained LLMs against publicly available models like Claude and GPT-4, as well as previous versions of your own models, to obtain detailed performance reports.

• Performance Metrics: Gain insights into model accuracy, efficiency, and other critical performance indicators.

Seamless Deployment

• Flexible Deployment Options: Deploy your models on PropulsionAI's service with an OpenAI-compatible REST API or on your own hardware.

• OpenAI-Compatible API: Ensure compatibility and ease of integration with existing systems and workflows.

Future-Proof Features

• Reinforcement Learning with Human Feedback (RLHF): Upcoming updates will include RLHF to enhance model training and performance.

• Function Calling and State Management: Our platform supports function calling via engineered system prompts and state management using LLM State Machines.