Matt Payne

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.

Matt Payne

May 28, 2023

What is CLIPSeg & how we build optimization pipelines for text-guided zero-shot segmentation

Learn how CLIPSeg segmentation, in combination with GPT-4 and ChatGPT, can enable diverse applications from medical image diagnosis to remote sensing.

Matt Payne

May 25, 2023

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.

Matt Payne

April 15, 2023

Mastering Opinion Summarization with GPT: Exploring Pipeline Methods, Evaluation Metrics, and Expert Insights

Explore the use of GPT for opinion summarization through innovative pipeline methods, evaluation metrics like ROUGE and BERTScore, and human evaluation insights. Dive into novel entailment-based evaluation tools for a comprehensive understanding of model performance in capturing diverse user opinions.

Matt Payne

April 4, 2023

Revolutionizing News Summarization: Exploring the Power of GPT in Zero-Shot and Specialized Tasks

Discover how prompt based LLMs like GPT-3 & GPT-4 are transforming news summarization with its zero-shot capabilities and adaptability to specialized tasks like keyword-based summarization. Learn about the limitations of current evaluation metrics and the potential future directions in text summarization research.

Matt Payne

March 22, 2023

Unlocking the Power of Generative Models: Learning Hard Prompts through Optimization for Image Generation and Language Tasks

Discover the PEZ method for learning hard prompts through optimization, a powerful technique that enhances generative models for image generation and language tasks, improves transferability, and enables few-shot learning

Matt Payne

March 21, 2023

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

Matt Payne

March 15, 2023

How to Use Recurrent Feature Reasoning for Image Inpainting

A deep look at how recurrent feature reasoning outperforms other image inpainting methods for difficult use cases and popular datasets.

Matt Payne

March 5, 2023

A Deep Dive Into The Mask-Aware Transformer for Large-Hole Image Inpainting | How Should I Use MAT?

Discover how the state-of-the-art mask-aware transformer produces visually stunning and semantically meaningful images and how it stacks up against Stable Diffusion & DALL-E for large-hole inpainting

Matt Payne

February 7, 2023

Building a Custom Intent Classification GPT-3 Model For Conversational Ai

Let’s take a look at what intent classification is in conversational ai and how you can build a GPT-3 intent classification model for conversational ai and chatbot pipelines.

Matt Payne

January 14, 2023

How Zero-shot Object Detection Changes Computer Vision Tasks in Business

Discover the capabilities of zero-shot object detection, which enables anyone to use a model out-of-the-box without any training and generate production-grade results.

Matt Payne

January 9, 2023

State of the Art for Facial Expression Recognition from Image Data | Techniques, Architectures and Marketing Use Case

What is facial expression recognition and what SOTA models are being used today in production

Matt Payne

December 22, 2022

SETFIT - Prompt-free Efficient Few Shot Learning | What is SetFit?

What is the the SetFit architecture and how does it outperform GPT-3 and other few shot large language models

Matt Payne

December 5, 2022

Using TensorFlow Image Classification for Product Detection | Image Classification Using TensorFlow Framework

What is image classification and how we build production level TensorFlow image classification systems for recognizing various products on a retail shelf.

Matt Payne

December 5, 2022

PyTorch Image Classification for Product Recognition: SOTA Framework for SKU Recognition

How to build an image classification model in PyTorch with a real world use case. How you can perform product recognition with image classification

Matt Payne

November 16, 2022

Building a GPT-3 Call to Action Generator Tool that constantly improves

Let's build a custom CTA generator that you'll actually want to use for your website copy

Matt Payne

October 20, 2022

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.

Matt Payne

October 20, 2022

Automatically Categorize Products To Google Shopping Categories in 4 Steps using Ai

Learn what Google Shopping categories are used for and how you can automate fitting products to this taxonomy using ai.

Matt Payne

September 12, 2022

Automatically Categorize Products To The Shopify Product Taxonomy in 4 Steps

Automatically categorize your Shopify store products to the Shopify Product Taxonomy instantly with ai based PIM software

Matt Payne

September 9, 2022

Ai Enhanced Product Information Management | How We can Automate PIM

Product information management (PIM) is one of the most important data management tasks for ecommerce and online retailers. Let’s look at what product information management is and how we can use artificial intelligence (AI) to optimize PIM tasks.

Matt Payne

March 5, 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

Matt Payne

October 20, 2022

Automated Information Extraction using Ai Based Loan Processing Automation

Using ai for document information extraction to automate various parts of the loan process.

Matt Payne

August 8, 2022

Automatically Categorize Your Products To Google Product Taxonomy in 4 Steps

Categorize your ecommerce products to the 2021 google product taxonomy tree instantly with our Ai software

Matt Payne

September 6, 2022

The Ai Ecommerce Automation Tool Nobodies Talking About (Yet)

Surveying the current landscape of ecommerce automation and how you can use ai to automate huge chunks of your product management.

Matt Payne

August 15, 2022

Improve Your Product Catalog Optimization with Ai in 7 Easy Steps

What are the key benefits of product catalog optimization and how you can remove 90% of the manual labor required with Ai

Matt Payne

August 15, 2022

Leverage Ai Based Product Data Classification Software Instantly in 5 Steps

Classify your product data against an existing product category database or generate categories and tags in seconds using artificial intelligence

Matt Payne

August 15, 2022

6 ML/Ai Warehouse Automation Technologies You Can Implement Today

Warehouse automation plays a crucial role across your supply chain. Learn about how machine learning and ai software can be integrated into your warehouse automation stack.

Matt Payne

June 16, 2022

4 Powerful Long Text Summarization Methods With Real Examples

4 different NLP methods of summarizing longer input text into different methods such as extractive, abstractive, and blended summarization

Matt Payne

October 20, 2022

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

Matt Payne

October 20, 2022

5 Steps To Production Level GPT-3 Language Translation Software

Let’s take a look at the 5 easy steps to start using a production level GPT-3 language translation pipeline for any use case.

Matt Payne

October 20, 2022

State of the Art GPT-3 Summarizer For Any Size Document or Format

The key components to building a gpt-3 summarizer with short & long-form summarization for news articles, blog posts, legal documents, and more.

Matt Payne

October 20, 2022

5 Most Valuable Ways To Convert Unstructured Text To Structured Data

Here's 5 of the most valuable ways to convert unstructured text to structured data with natural language processing

Matt Payne

October 20, 2022

7 NLP Techniques for Extracting Information from Unstructured Text using Algorithms

7 different ways to extract valuable information from unstructured text using algorithms such as GPT-3, spaCy, and LDA.

Matt Payne

October 20, 2022

Integrating Automated Invoice Processing OCR Into Your Business Instantly

Automate your invoice processing workflow to remove manual data input with our custom built invoice processing OCR software. 

Matt Payne

March 10, 2022

Using Machine Learning Based Data Matching Software For Better Results

How you can use machine learning based data matching to compare data features in a scalable architecture for deduping, record merging, and operational efficiency

Matt Payne

February 20, 2022

How We Build The Highest Confidence GPT-3 Chatbots Available In 2022

A deep understanding of how we use gpt-3 and other NLP processes to build flexible chatbot architectures that can handle negotiation, multiple conversation turns, and multiple sales tactics to increase conversions.

Matt Payne

December 1, 2022

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.

Matt Payne

October 20, 2022

Building A GPT-3 Twitter Sentiment Analysis Product

We’re going to walk through building a production level twitter sentiment analysis classifier using GPT-3 with the popular tweet dataset Sentiment140.

Matt Payne

October 20, 2022

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

Matt Payne

October 20, 2022

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

Matt Payne

October 20, 2022

Ecommerce Product Taxonomy & Categorization With GPT-3

How you can use GPT-3 to create higher order product categorization and product tagging from your ecommerce listings, and how you can create a powerful product taxonomy system with ai.

Matt Payne

March 5, 2023

5 Best Use Cases For Product Matching In Ecommerce & How You Can Implement Each One

5 ways you can use product matching software in ecommerce to create real value that raises your sales metrics and improves your workflow operations.

Matt Payne

November 10, 2021

3 Best Ways To Use Ai in Business intelligence for Marketing Success In Your Organization

Use these power ai and machine learning tools to create business intelligence in your marketing that pushes your business understanding and analytics past your competition.

Matt Payne

June 29, 2022

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.

Matt Payne

November 10, 2021

What is Beam Search? Explaining The Beam Search Algorithm

Beam search is an algorithm used in many NLP and speech recognition models as a final decision making layer to choose the best output given target variables like maximum probability or next output character.

Matt Payne

September 29, 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.

Matt Payne

November 10, 2021

Neural Collaborative Filtering for Deep Learning Based Recommendation Systems | Architecture Breakdown & Business Use Case

Let's take a look at the architecture used to build neural collaborative filtering algorithms for recommendation systems

Matt Payne

May 26, 2022

Dynamic Pricing: How Pricing Optimization And Revenue Management Benefit From Machine Learning

How to get started with machine learning based dynamic pricing algorithms for price optimization and revenue management

Matt Payne

November 4, 2022

NLP with spaCy and business tools you can build right now - An Introduction to NLP Tools

Let's take a look at how you can use spaCy, a state of the art natural language processing tool, to build custom software tools for your business that increase ROI and give you data insights your competitors wish they had.

Matt Payne

November 10, 2021

Recommender Systems For Business - A Gentle Introduction

Matt Payne

November 10, 2021

Four Considerations For Implementing AI In Ecommerce & Retail

The landscape for AI in ecommerce has changed a lot recently. Some of the most popular products and approaches have been compromised or undermined in a very short time by a new global impetus for privacy reform, and by the way that the COVID-19 pandemic has transformed the nature of retail.

Matt Payne

November 10, 2021

Extremely High ROI Computer Vision Applications Examples Across Different Industries

Extremely High ROI Computer Vision Applications Examples Across Different Industries

Matt Payne

November 10, 2021

Building Data Capture Services To Collect High ROI Business Data With Machine Learning and AI

Building Data Capture Services To Collect High ROI Business Data With Machine Learning and AI

Matt Payne

November 10, 2021

4 Tools You Absolutely Need For Any Warehouse Automation Solutions | Building Warehouse Automation Systems

Software packages and Inventory Data tools that you definitely need for all automated warehouse solutions

Matt Payne

March 5, 2023

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

Matt Payne

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.

Matt Payne

February 19, 2022