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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

  1. Start with $300 in free credits
  2. Choose your deployment (cloud or self-hosted)
  3. Use our SDKs or API
  4. Monitor through our dashboard
# It's really this simple
from lamini import Lamini

model = Lamini(open_source_model_on_huggingface)
model.tune(your_data)
response = model.generate(your_prompt)

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.