Lamini: Build Mini-Agents with 90%+ Accuracy
Lamini is a platform offering Memory Tuning, Memory RAG, and Classifier Agent tools to help developers and enterprise teams build highly accurate mini-AI agents. It leverages the team's two decades of LLM experience and supports cloud or self-hosted deployment with free credits.
Welcome to Lamini 🦙
Build mini-agents with 90%+ accuracy, whether you're a solo developer or an enterprise team. Get started with $300 in free credits.
Quick Navigation
Goal Description Link
🚀 Get Started Boost your mini LLMs from 50% to 90%+ accuracy Quick Start
💡 Try It Out Test your PDF knowledge base Playground (with Memory RAG)
🎯 Memory Tuning Build accurate, efficient models Memory Tuning
🤖 RAG Tools Create reliable mini-agents Memory RAG
🎯 Classification Deploy scalable classifiers Classifier Agent
🔒 Self-Hosted Install Lamini on your own GPUs Kubernetes Install
Questions? Contact us. We read every message — or at one of our mini-agents does :)
Core Products
Memory Tuning [paper] [class with Andrew Ng & Meta] [about]
Build the most accurate and efficient fine-tuned models:
Inject precise facts to eliminate hallucinations
Start with only 10 facts & examples, scale to 100,000+
Reliably get 95%+ accuracy (removes accuracy ceilings on many tasks)
Keep latency and costs low, by getting away with memory-tuned smaller LMs and mini-agents
One API, any open model
Memory RAG [paper] [about]
Skip the complex RAG setup. Easier than Memory Tuning. Get 90%+ accuracy out of the box:
Boost accuracy from 50% to 90-95% compared to GPT4, after just a few iterations on your data and telling the model how to improve
Smart embedding that expands your data representation to capture true meaning and relationships
Build reliable, specializedmini-agents that work together
Simple API, powerful results
Classifier Agent Toolkit [demo] [about]
Build accurate classifiers in minutes, not months:
Handle any number of categories, from 2 to 1000+
Process unstructured data at scale with 400K tokens/second
Route requests automatically, with 99.9% accuracy
Triage code and content efficiently
Perfect For
Developers & Startups
Simple SDK and API
Start free, scale as you grow
Clear documentation and examples
Fast integration into your stack, OpenAI API compatible
Enterprise Teams
Production-ready security
Air-gapped deployment option
Scale across departments
Custom deployment support
Reduce production risks with 99.9% accuracy
Real-World Applications
Build what matters to you:
SQL Generator: Convert natural language to database queries
Customer Support Agent: Scale customer service intelligently
Data Classifier: Automate manual sorting and labeling
Code Helper: Build assistants for any programming language
Mini-Agent: Automate planning and execution of specialized tasks
Getting Started Is Easy
Start with $300 in free credits
Choose your deployment (cloud or self-hosted)
Use our SDKs or API
Monitor through our dashboard
Who are we?
Lamini's team has been training, fine-tuning, and preference-tuning LLMs over the past two decades. We invented core LLM research like LLM scaling laws, shipped LLMs in production to over 1 billion users, taught nearly a quarter million students about Finetuning LLMs, and mentored the tech leads that went on to build the major foundation models: OpenAI’s GPT-3 and GPT-4, Anthropic’s Claude, Meta’s Llama 3.1, Google’s PaLM, and NVIDIA’s Megatron.
What's new?
Check out our blog for the latest updates.