As the AI craze continues to rise globally, more people are curious about how AI can be useful for them. One of the most commonly understood use cases for AI is the everyday use of Large Language Models (LLM) such as ChatGPT. Many of us have used these LLMs to help save time on tasks like drafting, writing excerpts, editing documents, generating answers to questions, and more. It's clear that AI can save us time, and in the business world, time is money.
At Personal AI, we focus on tangible, real-life implementations through our Personal Language Model (PLM). With a model trained entirely on your own data—such as Zoom meeting transcripts, emails, documents, messages on various platforms, and more—a PLM can be seen as your own digital twin. This digital twin will develop your voice, philosophies, approaches to answering questions, and communication style. Our current customers and enterprise clients have many advantages over what a generic LLM (like ChatGPT) can provide. Because Personal AI is trained solely on your own or your company’s data, it can be trusted for customer-facing tasks.
Key Benefits of Personal AI
Enhanced Customer Interactions: Responding to emails and messages through cross-API integrations.
Efficiency in Proposal Generation: Generating draft proposals quickly and accurately.
Informative Recall: Easy access to important information stored in your data.
Monetized Channels: Leveraging our platform for additional revenue streams.
Each PLM with Personal AI has its own API and database, meaning you own the data and control the AI's usage and sharing. This addresses security and privacy concerns that have arisen with the use of generic LLMs like ChatGPT.
Real-Life Example: Subject Matter Experts
Subject matter experts (SMEs) provide invaluable services to businesses, whether they work directly for a single company or as private contractors for multiple companies. For example, consider a company that works with pharmaceutical firms to provide expert documentation on case studies, products, and new medications. They hire PhDs and MDs to write these documents, which can be time-consuming and costly.
Here’s how a Personal Language Model (PLM) can help:
Centralized Knowledge Base: A PLM with multiple sub-AI personas can be trained on all past documents for each client, including information on new developments.
Faster Document Creation: Writers can use the PLM to draft documents and create outlines, reducing weeks or months of work to only a few hours.
Increased Output: Writers can complete more documentation in a shorter period, maximizing work output.
Benefits:
Time Savings: Our customers have reported saving approximately 50% of their time.
Cost Efficiency: Companies can save around 30% of the salary cost of hiring a PhD or MD for writing.
High ROI: The efficiencies gained can drive 5x, 10x, even 20x the investment made in the PLM.
These are the kinds of results we are seeing with our customers using their PLM. By leveraging Personal AI, businesses can achieve significant time and cost savings while improving overall productivity.
.svg)
