Lamini

Enhance AI accuracy and scalability

Toolspedia Rating:

(4.6)

Freemium

Lamini is an enterprise-focused platform designed to enhance the accuracy and efficiency of large language models (LLMs). By leveraging advanced fine-tuning techniques, Lamini reduces AI hallucinations by up to 95%, ensuring reliable and factual outputs.

The platform supports seamless deployment of LLMs on AMD GPUs, enabling scalable solutions that meet the rigorous demands of modern enterprises. With products like Memory RAG and the Classifier Agent Toolkit, Lamini addresses diverse use cases, including text-to-SQL conversion, large-scale data classification, and function calling.

These tools empower businesses to automate complex tasks, streamline workflows, and derive actionable insights from unstructured data. Lamini’s commitment to security allows for deployment in air-gapped and on-premise environments, ensuring that proprietary data remains protected while harnessing the full potential of AI.

Key Features

Memory Tuning: Enhances LLM accuracy by reducing hallucinations by up to 95%.
Memory RAG: Achieves 90-95% accuracy in retrieval-augmented generation tasks.
Classifier Agent Toolkit: Facilitates large-scale, accurate data classification.
Scalable Deployment: Supports running LLMs on AMD GPUs, scaling to thousands of units.
Secure Environments: Allows deployment in air-gapped and on-premise settings to protect proprietary data.
Diverse Use Cases: Addresses applications like text-to-SQL, function calling, and customer service automation.