Smartloop Enterprise SLM Platform

What is Smartloop?

Smartloop is an open-source and no-code Small Language Model (SLM) platform designed for creating domain-specific agents. It allows businesses and large organizations to leverage their personal and sensitive data to build tailored AI solutions. The platform prioritizes data privacy and security by offering on-premise and private cloud deployments.

Smartloop offers a cost-effective and energy-efficient alternative to large language models. Its fine-tuning capabilities, using techniques like LoRA (Low Rank Adaption), enable the creation of highly accurate models for specialized tasks. The platform is fully managed and includes a web UI for easy document upload and interaction. Smartloop uses Llama 3 as its base model.

Features

Fine-tuning: Fine-tuning of models using private data.
Web UI: Use the web UI to upload documents and then interact with them collectively via the assistant.
Fully Managed: Fully managed platform as a service.
Cost-effective: Cost-effective solution tailored to your needs.
On-Premise/Private Cloud: Installation on edge or private cloud.
High-level API and Interface: High-level API and Interface available.

Use Cases

Creating domain-specific agents for specialized tasks.
Processing and analyzing sensitive data securely.
Streamlining existing processes with AI-powered assistants.
Building custom AI solutions without extensive coding knowledge.

FAQs

What is fine-tuning a model?

The purpose of fine-tuning is to convert a model into a more specialized version for a given dataset. This enhances the model's accuracy for a specific topic or domain.
What is baseline models vs fine-tuned models?

Baseline models like GPT-4 are well-suited for general-purpose reasoning, whereas fine-tuned models are primarily used to create domain-specific LLMs for more specialized applications.
How do you fine-tune models?

We use different techniques but primarily use LoRA (Low Rank Adaption) to fine-tune models which makes it efficient in terms of memory, loading and un-loading of models.
What is your baseline model?

We primarily use Llama 3 as our base model, allowing us to fine-tune it with private data in an on-premises setting