Custom Language Models

Harness The Power Of Language

Large Language Models (LLMs) like ChatGPT and DeepSeek are reshaping industries worldwide. Our team of language model experts customizes these powerful models to meet your organization’s specific needs.

Our Expertise

From traditional NLP techniques such as Named Entity Recognition (NER) and transformer-based models like BERT, to advanced Large Language Models (LLMs) enhanced by prompt engineering, retrieval-augmented generation (RAG), and fine-tuning, our team brings extensive experience across the full spectrum of language technologies.

Whether it’s developing custom RAG-based chatbots leveraging your proprietary data or optimizing open-source LLMs for specialized tasks, we tailor each solution precisely to your organization’s needs. Our projects are designed with scalability at their core—as language models evolve, our solutions evolve alongside them, providing ongoing enhancements and sustained value without requiring major redevelopment.

Graphic of a web with "LLM" at the center and icons representing different LLM use cases surrounding it connected in a web

Case Studies

a Llama with computer chip lines inside, signifying Meta's LLama LLM model

Fine Tuning Llama for Discrete
Medical Data Extraction

Project Details
  • Extracted discrete data fields from long-form medical procedure notes to automate billing code generation.
  • Customized Llama 3.2-8B (downloaded from Hugging Face) by adding a specialized classification head.
  • Fine-tuned the model using LoRA and 16-bit quantization on an AWS g5 EC2 instance to enhance training speed and efficiency.
  • Achieved over 80% precision/recall on a 100-sample proof-of-concept dataset.
A magnifying glass held over vegetables, inside the glass is microbes, signifying food borne illness.

Identifying Outbreaks of Food Poisoning
In Real-Time Via Social Media

Project Details
  • Geo-located social media posts to identify restaurant patrons.
  • Developed and trained a Support Vector Machine (SVM) classifier to recognize posts related to foodborne illness and link them back to specific restaurants.
  • Deployed results through an interactive online dashboard, adopted by the Las Vegas Health Department for proactive monitoring of outbreaks.
  • System effectiveness validated through a rigorous double-blind study.
  • Published in AAAI’s AI Magazine
chatgpt logo with icons surrounding it indicating different use cases for chatgpt

ChatGPT Prompt Engineering for Financial
Document Analysis

Project Details
  • Leveraged the ChatGPT API to extract and distill targeted data from extensive financial policy documents.
  • Developed robust and automated metrics to rapidly assess extraction effectiveness, enabling efficient iteration.
  • Iteratively refined system and user prompts and utilized an ensemble of models/prompts.
  • Achieved over 80% recall and precision, significantly improving the efficiency of financial data extraction processes.
a clinical note with icons surrounding it indicating different potential diseases that have been classified from the note

Disease Classification Based on
Clinical Notes

Project Details
  • Created a dataset comprising clinical notes extracted from Epic EHR, labeled with prevalent ICD-10 diagnosis codes.
  • Trained a Clinical-BERT-based classifier to accurately predict relevant ICD-10 codes from clinical notes.
  • Achieved precision exceeding 90%.