Lamini

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Introduction: Build highly accurate mini-agents, reduce LLM hallucinations by 95%
Added on: Jan 20, 2025
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Lamini

What is Lamini

Lamini is an enterprise-grade platform designed to help businesses build highly accurate mini-agents and reduce LLM hallucinations by 95%. The platform offers tools for fine-tuning models, automating classification tasks, and enabling function calling, all while ensuring data privacy and security. Lamini can be deployed in secure environments, including on-premise or VPC setups, to keep proprietary data private.

How to Use Lamini

  1. Sign up on the Lamini platform to get started with $300 free credits.
  2. Use the Memory Tuning feature to fine-tune models for high accuracy and low latency.
  3. Implement Memory RAG to simplify complex RAG systems and achieve 90-95% accuracy.
  4. Utilize the Classifier Agent Toolkit to automate large-scale classification tasks.
  5. Deploy mini-agents in parallel and compose them into agentic workflows for various use cases.

Use Cases of Lamini

Lamini is ideal for enterprises looking to leverage LLMs for high-accuracy applications. Use cases include:

  • Factual Reasoning: Turn documentation into intelligent chatbots.
  • Classification: Automate manual classification tasks.
  • Text-to-SQL: Enable business teams to perform their own analysis.
  • Code Assistant: Provide niche programming language support.
  • Customer Service Agent: Scale customer support operations.
  • Function Calling: Increase productivity by connecting to external tools and APIs.

Features of Lamini

  • Memory Tuning

    Offers the highest level of accuracy while keeping inference latency and cost low.

  • Memory RAG

    Simplifies complex RAG systems, achieving 90-95% accuracy with intelligent data representations.

  • Classifier Agent Toolkit

    Automates large-scale classification tasks, replacing manual data labeling with LLM-based classifiers.

FAQs from Lamini

1

What is Lamini?
Lamini is an enterprise LLM platform that helps businesses build highly accurate mini-agents and reduce LLM hallucinations by 95%.
2

How does Lamini ensure data privacy?
Lamini can be deployed in secure environments, including on-premise or VPC setups, ensuring that proprietary data remains private.
3

What are the key features of Lamini?
Key features include Memory Tuning for high accuracy, Memory RAG for simplified RAG systems, and the Classifier Agent Toolkit for automated classification.