What is Lamini?
Lamini is the go-to enterprise LLM platform for software teams looking to build and control their own large language models (LLMs) with ease. It’s packed with features to reduce hallucinations, improve accuracy, and ensure safety, all while being secure enough to run on-premise or in the cloud. Plus, it’s the only platform optimized for AMD GPUs, making it a powerhouse for scaling LLMs.
What are the features of Lamini?
- Memory RAG: Achieve 90-95% accuracy with smarter, more efficient retrieval systems.
- Classifier Agent Toolkit: Automate large-scale classification tasks with ease.
- Text-to-SQL: Build highly accurate agents for converting text into SQL queries.
- Function Calling: Connect LLMs to external tools and APIs seamlessly.
- Memory Tuning: Reduce hallucinations by 95% while keeping costs and latency low.
What are the use cases of Lamini?
- Text-to-SQL: Empower teams to perform business analysis without needing SQL expertise.
- Classification: Automate the sorting of unstructured data, like customer service requests.
- Customer Service Agents: Scale support systems and free up reps for complex queries.
- Code Assistants: Provide niche programming languages with their own AI helpers.
- Factual Reasoning: Turn documentation into intelligent chatbots for teams and customers.
How to use Lamini?
- Sign up for the Lamini platform and get started with $300 free credits.
- Explore the documentation to learn how to implement the platform.
- Use the Classifier Agent Toolkit for large-scale classification tasks.
- Deploy Memory RAG for high-accuracy retrieval systems.
- Fine-tune your LLMs with Memory Tuning to reduce hallucinations.
![[Reuters Momentum AI Panel] The Collaborative Ecosystem of Enterprise AI](https://i.ytimg.com/vi/5sB0qhrDa5c/hqdefault.jpg)
