Enterprise AI Platform for Expert AI
Lamini enables every enterprise to safely, quickly, and cost-effectively build their own Expert AI. Lamini has optimized LLM workloads for Expert AI on any infrastructure, from developer interfaces to GPU hardware optimizations with partners.
Performance
Improve accuracy, reduce hallucinations
- Guaranteed structured output with optimized JSON decoding
- Photographic-memory through retrieval-augmented finetuning
- DPO training with human preferences
- Integrated RAG-Finetuning framework
- Evaluation frameworks for tuned models
Cost-Efficient
Accelerate development, deploy cost-efficiently
- Highly parallelized inference for large batch inference
- Parameter-efficient finetuning that scales to millions of production adapters
- Cost-effective deployment: $80 on Lamini vs. $50,000 on Claude 3; inference on 1 million docs
Our Leadership
Sharon Zhou
Co-Founder & CEO
- Stanford CS Faculty in Generative AI
- Stanford CS PhD in Generative AI (Andrew Ng)
- MIT Technology Review 35 Under 35, for award-winning research in generative AI
- Created largest Coursera courses (Generative AI)
- Google Product Manager
- Harvard Classics & CS
Greg Diamos
Co-Founder & CTO
- MLPerf Co-founder, industry standard for ML perf
- Landing AI Engineering Head
- Baidu Head of SVAIL, deployed LLM to 1+ billion users; led 125+ engineers
- 14,000 citations: AI scaling laws, Tensor Cores
- NVIDIA, CUDA architect - as early as 2008
- Georgia Tech PhD in Computer Engineering
Talks
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