Lamini
Lamini Overview
Lamini is an enterprise-level LLM platform designed to help software teams swiftly develop and manage their own Language Learning Models (LLMs). The platform excels at tailoring LLMs across extensive proprietary document sets, aiming to enhance performance, minimize hallucinations, provide citations, and uphold safety. Lamini supports both on-premise and secure cloud installations, and uniquely accommodates operation of LLMs on AMD GPUs. From Fortune 500 companies to innovative AI startups, various organizations are implementing Lamini in their workflows. This platform provides facilities such as Lamini Memory Tuning that assists in achieving high accuracy, and features the capacity to run on various environments including Nvidia or AMD GPUs on-premise or on a public cloud. Lamini is engineered to guarantee JSON output that matches your application's requirements, with an emphasis on schema precision. Its high-speed processing allows for extensive query throughput enhancing the user experience. Moreover, Lamini implements features to optimize LLM accuracy and minimize hallucinations, striving to ensure exceptional model functioning.
Frequently Asked Questions
Features
- Streamlines software development
- Increases productivity
- Creates personalized LLM
- Outperforms general-purpose LLMs
- Advanced RLHF capabilities
- Fast model shipping
- No need for hosting
- Unlimited compute
- User-friendly interface
- Supports unique data
- Enables entirely new models
- Library for software engineers
- Suits companies of all sizes
- Data-driven approach
- Automates workflows
- Reduces prompt-tuning
- Fine-tuning on user's data
- Dependent on user's data
- No explicit mention of scalability
- Limited to software development
- Possibility of exceeding compute
- Undefined RLHF process
- Limited access
- waiting list
- No mentioned support for non-developers
- Unknown security measures
- No listed pricing information
Technical Information
Primary Category
Large Language Models
Date Added
March 25, 2025
Pricing
Contact for pricing details
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