Hands-On Expert-Level Contract Summarization Using LLMs

Discover how we use LLMs for robust high-quality contract summarization and understanding for our legal clients as well as other businesses.

October 31, 2024

Blog Posts for

Case Studies

SOTA SKU Image Classification for Product Matching | How we outperformed the Fashion CLIP model

Width.ai created a new retail product image classification model that outperforms the SOTA results from CLIP and Fashion CLIP on the most popular dataset in the domain. These models are commonly used in product matching use cases where photos are taken with lower resolution and zero control for noise and image angles.

October 16, 2023

Our 94% accurate resume parser software - How it works - How we reached SOTA accuracy with high noise coverage

How Width.ai build a 94% accuracy resume parsing solution leveraging our SOTA document processing framework that focuses on generalization across high variance and noisy resumes & CVs

October 5, 2023

A Deep Guide to Text-Guided Open-Vocabulary Segmentation

Discover the power of text-guided open-vocabulary segmentation using large language models like GPT-4 & ChatGPT for automating image and video processing tasks.

92.44% Product Similarity through fine-tuning CLIP Model + Custom Pipeline for Image Similarity

A deep dive into how we reached SOTA accuracy in product similarity matching through a custom fine-tuning pipeline that refines the CLIP model for image similarity.

Building an Ai Marketing Copy Generator For Keap With 17 Operations | Case Study

Take a look at how Width.ai built 17 generative ai pipelines for use in the Keap.com marketing copy generation product

August 15, 2023

Processing Master Service Agreements With Multi-Task GPT-3 Model for Blended Summarization & Dynamic NER

We’re going to look at how we built a state of the art NLP pipeline for blended summarization and NER to process master service agreements (MDAs) that vary the outputs based on the input document and what is deemed important information.

August 21, 2023

Building an NLP legal clause rewriter that improves clause clarity and reduces risk | Case Study

How we leveraged large language models to build a legal clause rewriting pipeline that generates stronger language and more clarity in legal clauses

August 15, 2023

Using GPT-3 For Automated Partial & Full UPC Code Matching | Case Study

We built a custom GPT-3 pipeline to automate UPC code matching for both full and partial UPC codes. Our model handles insane levels of noise and input source variation

August 21, 2023

Designing Two GPT-3 Products For O.C. Tanner | Case Study

The popular HR company O.C. Tanner, which has been in business since 1927 and has over 1500 employees, was looking to research and design two GPT-3 software products to be used as internal tools with their clients. GPT-3 based products can be difficult to outline and design given the sheer lack of publicly available information around optimizing and improving these systems to a production level.

August 21, 2023

Keyword Extraction Using GPT-3 In The Education Industry | Case Study

We built a GPT-3 based software solution to automate raw data processing and data classification. Our model handles keyword extraction, named entity recognition, text classification | Case Study

August 21, 2023

Using GPT-3 For Topic Extraction In The Asset Management Industry | Case Study

We built a custom GPT-3 pipeline for key topic extraction for an asset management company that can be used across the financial domain | Case Study

August 21, 2023

How To Automate Information Extraction From Legal Document Cover Sheets With Machine Learning & OCR

We built a custom ML pipeline to automate information extraction and fine tuned it for the legal document domain.

November 10, 2021

98.57% Accuracy Using Image Recognition To Identify Food Dishes & Menu Items | Case Study

Best Place For was looking for an image recognition based software solution that could be used to detect and identify different food dishes, drinks, and menu items in images sourced from blogs and Instagram. The images would be pulled from restaurant locations on Instagram and different menu items would be identified in the images. This software solution has to be able to handle high and low quality images and still perform at the highest production level, while accounting for runtime as well as accuracy.

November 10, 2021

How We Helped Automate Out 167.3 HR/MO Spent Managing Inventory With Image Recognition and Processing Using Computer Vision and Machine Learning

Inventory automation with computer vision - how to use computer vision in online retail to automate backend inventory processes

November 10, 2021

How We increased JDM Garages' Advertiser Revenue by 36% and Increased Engagement by 58.79% in just One Month

deep learning analytics for social media influencers to understand customers and followers interests better.

February 19, 2022

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