Crafting Tomorrow’s AI with Seamless LLM Fine-Tuning
Drive Technological Innovation Using Our Specialized Suite for LLM Tuning and Evaluation
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How it works?
Data Capture and Refinement
PropulsionAI’s platform offers advanced tools to help you gather, clean, and organize data efficiently.
Model Training
Select from a range of open-source LLMs and adjust hyperparameters to fit your specific needs.
Model Deployment
Deploy AI solutions confidently, ensuring they're ready for real-world conditions and scalable performance.
Model Evaluation
Compare model performance against benchmarks and previous iterations to ensure significant improvements.
Frequently Asked Questions
PropulsionAI is a state-of-the-art platform designed for AI developers, streamlining the process of AI model development. It provides an intuitive interface for training popular open-source models like Llama2, Mistral, YOLO, and XGBoost. With PropulsionAI, you can upload or connect your data, select a model, and begin training with just a few clicks. The platform facilitates rapid model development and easy integration into applications via a REST API.
By automating the underlying complexities of AI model training, PropulsionAI enables developers to focus on innovation rather than setup and management. It abstracts the intricacies of data preprocessing, model selection, and hardware management, providing a user-friendly dashboard that guides you through the entire process.
Our platform supports a wide range of AI models, catering to various domains like computer vision, natural language processing, and predictive analytics. Whether you’re looking to train convolutional neural networks for image recognition or recurrent neural networks for time series analysis, PropulsionAI has the tools you need.
PropulsionAI is built to handle datasets of various sizes, from small-scale projects to large enterprise-level data. We leverage cloud scalability to accommodate your data needs, ensuring you can train your models efficiently, regardless of dataset size.
Absolutely. While PropulsionAI offers a rich library of pre-existing models, we will also support custom model training. You will be able upload your model architecture and weights and take advantage of our streamlined training pipeline to fine-tune your model with your dataset. Coming soon.
Once a model is trained, PropulsionAI provides a REST API for seamless integration into your applications or services. Our platform includes comprehensive documentation and support to guide you through the integration process, ensuring a smooth transition from training to deployment.
Data security and privacy are top priorities at PropulsionAI. We implement robust encryption, regular security audits, and adhere to strict data handling policies to protect your information. Additionally, we ensure compliance with industry standards and regulations to maintain the highest levels of data integrity.
PropulsionAI is designed to be cost-effective, offering competitive pricing without compromising on functionality. Our efficient use of resources and the pay-as-you-go model ensure you only pay for what you need, resulting in significant savings, especially at scale.
Our platform is equipped to manage diverse data types. PropulsionAI's versatile preprocessing tools can handle images, text, and structured data, preparing them for model training. Our interface allows you to define custom preprocessing pipelines tailored to your specific data requirements.
Yes, scalability is a foundational feature of PropulsionAI. Our cloud infrastructure can dynamically adjust to your project's demands, whether it's scaling up during the model training phase or scaling out to handle an increasing number of API requests. We ensure your AI development scales seamlessly with your growth.


TUTORIALS
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Retrieval-Augmented Generation (RAG) with LangChain, Llama2 and ChromaDB on PropulsionAI
Boost your question-answering system's accuracy with Retrieval-Augmented Generation (RAG) using Llama2, LangChain, and ChromaDB on PropulsionAI. This step-by-step tutorial shows you how to create a powerful Domino's Pizza India chatbot that provides up-to-date menu items and prices in its responses. Learn to combine the strengths of language models and information retrieval systems for enhanced contextual relevance and performance. Includes code samples and a link to the complete GitHub repository. Perfect for developers looking to improve their AI-powered chatbots and question-answering systems.

How to Fine-Tune LLaMA 2 on Your Own Data for Under a Dollar
In this detailed guide, we will explore how to fine-tune LLaMA 2, a powerful language model, to act as a co-pilot for a popular fast-food chain. By leveraging PropulsionAI, we'll demonstrate a cost-effective method to tailor LLaMA 2, ensuring it can handle specific tasks like answering frequently asked questions. This process, surprisingly affordable, will be broken down step-by-step, ensuring even beginners can follow along.

AI for Project Managers: Harnessing Power in 2023
Discover how AI is revolutionizing project management in 2023. Learn about AI-powered tools, resource allocation, risk management, and collaboration. Embrace the future of project management with AI!
