LayerP Technology & Service

Secure AI Access for Your Organization

Small Language Model, Large Language Model and RAG (Retrieval Augmented Generation)

LayerP Technology, LLC is capable of helping your organization in implementing a Small Language Model project or developing and deploying a Large Language Model entrprise application. With or without RAG.

We've "been there done that". Equally important, we want to understand your business first prior to providing our technological services for at the end of the day, we want technology to produce results.

Deploying a Small Language Model Locally for Your Organization


A Small Language Model (SLM) can be deployed on-premise or in private cloud environments, eliminating the need to share data with third-party providers or external cloud services. Simply put, when using SLM, your users or employees' data or prompts will not be sent to LLMs like OpenAI's GPT-4 or GPT-4o, thus, all your data is safe inside.

SLM can be applied to industries like healthcare, finance, manufacturing, bio-tech, and law, where data privacy is paramount, to analyze sensitive information without compromising security, enabling more efficient and secure operations.

Some specific use cases for a few select industries:

Healthcare
Automate patient data entry and support diagnostics
Analyze medical literature

Finance
Detect fraud and generate financial reports
Assess risks

Manufacturing
Predictive maintenance and quality control
Supply chain optimization

Legal
Automate document drafting and summarize case law
Aid in legal research

Key Benefit of SLM

You don't have to worry about data privacy / data security since the language model is run locally.

Therefore, if you are a small or mid-sized business, you should "start small", consider this option when you first get started with AI.

Sample Screenshots

Developing and Deploying an LLM Enterprise Application for Your Organization


When you have a complex business problem to solve, a small language model may not be adequate, now you need to develop an LLM Enterprise Application. Essentially you create a web and/or mobile interface to call a Large Language Model such as OpenAI's GPT-4 or GPT-4o via its API. However, with this approach, one thing you must be aware of and take an action on is to provide a guardrail to protect sensitive or proprietary information from inadvertently leak to LLM(s).

If you have any questions, please feel free to reach out to us (info at layerp.tech), we'd be glad to be of help.

Who We Are

LayerP Technology, LLC, based in Greenville, South Carolina, was founded by technologist Don Chunshen Li.