Lamini
Enterprise LLM platform that enables building smaller, faster, and highly accurate language models with up to 95% reduction in hallucinations.
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Product Overview
What is Lamini?
Lamini is an advanced platform designed for enterprises to create and deploy highly accurate large language models (LLMs) and specialized small language models (SLMs) tailored to proprietary data. It focuses on reducing hallucinations by 95%, enabling faster inference with smaller models, and providing flexible deployment options including cloud, on-premise, and air-gapped environments. Lamini supports fine-tuning, memory tuning, and retrieval-augmented generation (RAG) to boost model precision and efficiency. Its intuitive interface and expert support simplify MLOps workflows, making it accessible for developers and enterprise teams alike.
Key Features
Hallucination Reduction
Achieves over 95% accuracy on factual tasks by injecting precise data into models, significantly minimizing hallucinations.
Memory Tuning and Efficient Fine-Tuning
Uses low-rank adapters (LoRAs) for efficient fine-tuning, enabling 32x model compression and faster model switching without manual configuration.
Flexible Deployment
Supports fully managed cloud, dedicated GPU reserved instances, and self-managed on-premise or air-gapped deployments for ultimate data control.
Large-Scale Classification and Function Calling
Enables building classifiers and function-calling agents that scale to 1000+ categories or tools with up to 99.9% accuracy.
Ultra-Low Latency Models
Delivers specialized small language models with sub-100ms response times suitable for real-time applications without sacrificing accuracy.
Intuitive Developer Experience
Offers a simple SDK, API, and web UI with clear documentation, enabling rapid integration and scaling for startups and enterprises.
Use Cases
- Text-to-SQL Automation : Build highly accurate agents that convert natural language queries into SQL commands for database interaction.
- Content Classification : Automate large-scale classification tasks such as content moderation, document sorting, and code triage with high precision.
- Custom Mini-Agents : Create specialized mini-agents tailored to proprietary data for efficient task automation and decision-making.
- Function Calling Integration : Develop agents that connect seamlessly to external APIs and tools, enabling complex workflows and automation.
- Real-Time Chatbots and Assistants : Deploy ultra-fast, accurate models for instant customer support, live text analysis, and interactive applications.
FAQs
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