Lamini Raises $25M For Enterprises To Develop Top LLMs In-House | Lamini - Enterprise LLM Platform
Summary
We call this Expert AI, which differs from General AI both in its deeper capabilities and how to successfully build it.Today, were thrilled to announce that Lamini has raised $25 million from notable investors in AI, technology, and enterprise, including Amplify Partners (led Series A), First Round Capital (led Seed), Andrew Ng, Andrej Karpathy, Bernard Arnault, Pierre Lamond, Sarah Guo, Dylan Field, Lip-Bu Tan, Drew Houston, AMD Ventures, and others.Since launching in April 2023, Lamini has been growing fast with numerous achievements: LLM Photographic Memory Evaluation Suite points to the high hallucination rate that complex RAG and GPT-4 still create. Parameter-Efficient Fine-Tuning (PEFT) showcases our production LoRA stack that can tune millions of adapters, making it as efficient and cost-effective to finetune as it is to do RAG.We also partnered with AMD, Snowflake, Databricks, Nutanix, Meta, Mistral, and more.The new funding will accelerate development into deeper technical optimizations and expand our team to offer enterprises the strategic support they need at scale. to meet the accelerating demand from customers across new regions.Out of the 100+ enterprise executives weve talked to, the top priority of nearly every CEO, CIO, and CTO is to take advantage of generative AI within their organization with maximal return on investment (ROI). We will share more technical details about dramatic hallucination reduction in a blog post soon.And, because it is such a deep derivative of proprietary expertise, Expert AI must be deployed in a way that respects existing security and governance protocols. Lamini runs LLMs indiscernibly to our customers on cloud or on-premise, with or without internet access, on NVIDIA or AMD GPUs, seamlessly moves between them, and de-risks your stack from an ever-shifting compute landscape.Higher ROI Out of the GateCounterintuitively, building expert AI is more capital-efficient.