Lamini

Introduction to Lamini

Lamini is an enterprise-grade platform designed to empower software teams to rapidly develop and deploy customized large language models (LLMs). By integrating cutting-edge AI techniques and offering flexible deployment options, Lamini enables organizations to fine-tune models on proprietary data, ensuring high accuracy and performance. Trusted by Fortune 500 companies and leading AI startups, Lamini provides a comprehensive solution for building specialized LLMs tailored to specific business needs.

Key Features of Lamini

• Memory Tuning: Enhances model accuracy by embedding factual knowledge, reducing hallucinations by up to 95% and ensuring reliable outputs.
• Flexible Deployment Options: Supports on-premise, cloud, and air-gapped environments, allowing organizations to maintain control over their data and infrastructure.
• High Throughput Inference: Optimizes inference performance, delivering up to 52 times more queries per second compared to traditional models, ensuring rapid response times.
• Guaranteed JSON Output: Provides structured and consistent output with 100% schema accuracy, facilitating seamless integration with downstream applications.
• Comprehensive SDK and APIs: Offers a Python SDK, REST APIs, and a user-friendly web interface, enabling developers to easily train, evaluate, and deploy models.

How to Use Lamini

1. Sign Up: Create an account on the Lamini platform to access the tools and resources.
2. Prepare Your Data: Gather and preprocess your proprietary data to fine-tune the base model effectively.
3. Choose a Base Model: Select a suitable base model from Lamini’s library or integrate your own.
4. Fine-Tune the Model: Utilize Lamini’s memory tuning and training capabilities to adapt the model to your specific requirements.
5. Deploy the Model: Deploy the fine-tuned model to your preferred environment, ensuring it meets your performance and security standards.

Pricing Information

Lamini offers flexible pricing plans to accommodate various organizational needs:

• On-Demand: Ideal for startups and small teams, this plan provides $300 in free credits to get started. Pricing is based on usage, with $0.50 per million inference tokens and $1 per tuning step.
• Reserved: Suitable for organizations requiring dedicated resources, this plan offers reserved GPUs with per-GPU pricing, ensuring consistent performance.
• Self-Managed: For enterprises with specific infrastructure requirements, this plan allows Lamini to be deployed on-premise or within a Virtual Private Cloud (VPC), providing full control over the environment.

Frequently Asked Questions

• Can I try Lamini for free? Yes, new users receive $300 in free credits to explore the platform and its features.
• What deployment options are available? Lamini supports on-premise, cloud, and air-gapped deployments, offering flexibility to meet your organization’s needs.
• Is my data secure? Absolutely. Lamini prioritizes data privacy and security, ensuring that your proprietary information remains confidential.
• How do I get started? Sign up on the Lamini platform, prepare your data, and follow the provided documentation to begin training and deploying your custom models.