Lamini
Enterprise LLM platform enabling software teams to develop, fine-tune, and securely deploy custom large language models with reduced hallucinations and high accuracy.
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Key Features
LLM Fine-Tuning
Enables customization of models on proprietary datasets for improved accuracy.
Memory RAG
Integrates retrieval-augmented generation to enhance factual responses.
Classifier Agent Toolkit
Provides tools for building AI classifiers and automation agents.
Function Calling
Supports function calls to connect LLMs with external tools and APIs.
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Why Choose Lamini
Hallucination Reduction:
Reduces hallucinations by up to 95% using specialized training on proprietary data.Secure Deployment:
Supports on-premise, VPC, and air-gapped deployments to ensure data privacy.AMD GPU Support:
Unique platform capability to run LLMs efficiently on AMD GPUs at scale.
Pricing
Lamini offers on-demand pricing at $0.50 per 1M tokens for inference and $0.50 per step for tuning, with a pay-as-you-go model and $300 free credit for new users. Reserved and self-managed plans are custom priced with dedicated GPUs and software licenses.
About Lamini
Enterprise LLM platform enabling software teams to develop, fine-tune, and securely deploy custom large language models with reduced hallucinations and high accuracy.
What Lamini Does
Lamini allows software teams to train, fine-tune, and deploy high-performing large language models tailored to proprietary datasets. It improves model accuracy and reduces hallucinations, enhancing reliability for enterprise applications.
The platform includes features such as hallucination reduction, memory retrieval-augmented generation (RAG), classifier agent toolkits, and function calling. It supports secure deployment options including on-premise, VPC, and air-gapped environments, and provides access to top open-source models like Llama 3.1 and Mistral v0.3.
Use cases include building factual reasoning chatbots, text-to-SQL agents, automated classification tasks, code assistants, and customer service agents across industries like software development and AI research.
Pros & Cons
Custom Control
Allows full control over LLM development and deployment environments.
Scalability
Scales confidently to thousands of instances with secure infrastructure.
Pricing Complexity
Pricing plans require contact for custom reserved and self-managed options.
Technical Setup
On-premise and secure deployments may require advanced technical expertise.
Frequently Asked Questions
Lamini uses best practices and training on proprietary documents to reduce hallucinations by up to 95%.
Lamini supports secure deployment on-premise, in VPCs, or air-gapped environments to protect data privacy.
Lamini offers pay-as-you-go pricing with $300 free credit, plus custom reserved and self-managed plans.
Lamini supports top open-source models like Llama 3.1, Mistral v0.3, and Phi 3.
Users can access help through a dedicated form for bug reports, feature requests, and feedback.
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