L

Lamini

3.1
💬1425
💲Paid

Lamini empowers enterprises to develop and deploy custom LLMs tailored to their data and use cases. It supports secure deployment options, reduces hallucinations, and offers tools for building AI agents and integrating with external systems.

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Platform
web
AI agentsAMD GPUsClassificationFine-tuningFunction callingHallucination reductionLLM platform

What is Lamini?

Lamini is an enterprise-grade large language model (LLM) platform designed for software teams to build, customize, and control their own LLMs with high accuracy. It enables organizations to reduce hallucinations, improve performance, and deploy models securely across various environments.

Core Technologies

  • Large Language Models
  • Fine-tuning
  • RAG
  • Text-to-SQL
  • Classification
  • Function Calling
  • AI Agents

Key Capabilities

  • LLM fine-tuning
  • Hallucination reduction
  • Memory RAG
  • Classifier Agent Toolkit
  • Text-to-SQL agent building
  • Secure deployment

Use Cases

  • Building text-to-SQL agents
  • Automating classification tasks
  • Connecting to APIs
  • Creating reasoning chatbots
  • Developing code assistants
  • Implementing customer service bots

Core Benefits

  • Reduces LLM hallucinations significantly
  • Enables smaller, faster LLMs
  • Supports secure deployment
  • Improves classification accuracy
  • Simplifies model evaluation
  • Reduces engineering time

Key Features

  • LLM fine-tuning
  • Hallucination reduction
  • Memory RAG
  • Classifier Agent Toolkit
  • Text-to-SQL agent building
  • Function calling
  • Secure deployment

How to Use

  1. 1
    Use the Lamini library to train LLMs on your datasets
  2. 2
    Install Lamini on-premise or in your cloud environment
  3. 3
    Apply best practices to specialize LLMs on proprietary data

Pricing Plans

On-demand

$0.50/1M tokens (inference), $0.50/step (tuning)
Pay as you go, new users get $300 free credit.

Reserved

Custom
Dedicated GPUs from Lamini's cluster, unlimited tuning and inference.

Self-managed

Custom
Run Lamini in your own secure environment, pay per software license.

Frequently Asked Questions

Q.How does Lamini reduce hallucinations in LLMs?

A.Lamini uses built-in best practices for specializing LLMs on billions of proprietary documents to improve performance and reduce hallucinations by up to 95%.

Q.Where can Lamini be deployed?

A.Lamini can be deployed in secure environments including on-premise, VPC, or air-gapped setups.

Q.What kind of support does Lamini offer?

A.Lamini provides help through a dedicated form for bug reports, feature requests, and feedback.

Q.What models does Lamini support?

A.Lamini supports top open-source models such as Llama 3.1, Mistral v0.3, and Phi 3.

Pros & Cons (Reserved)

✓ Pros

  • Reduces LLM hallucinations significantly
  • Enables building smaller, faster LLMs
  • Supports secure deployment
  • Offers high accuracy for classification and text-to-SQL
  • Reduces engineering time for model tuning
  • Provides tools for evaluating LLM performance

✗ Cons

  • Pricing requires contacting sales for some plans
  • May require machine learning expertise
  • Optimal performance relies on AMD GPUs

Alternatives

No alternatives found.