92% 4 Level Deep Product Categorization with MultiLingual Dataset for Wholesale Marketplace

How we were able to reach 97% on top level categories, and 92% on bottom level categories with a multilingual dataset for a customer of Pumice.ai.

Matt Payne

December 20, 2024

Blog Posts for

Ai

Turbocharge Dialogflow Chatbots With LLMs and RAG

Are Dialogflow chatbots still relevant when LLM-based chatbots are available? Yes. We'll show you how you can combine them to get the best of both worlds.

August 27, 2024
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How to Deploy Custom WordPress Chatbots for Happier Customers

Find out how AI-powered chatbots can make WordPress even better for your business. We’ll show you how custom chatbots compare to Wordpress’s plugins.

March 5, 2024
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An Introduction to Ai in Fault Localization for Software Programs using FFL

Explore the innovative Fine-grained Fault Localization (FFL) technique for student programs. Learn how FFL integrates both syntactic and semantic information for efficient bug localization, outperforming other techniques. Discover its potential applications in programming education and future research directions.

October 9, 2023
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Our SOTA GPT-4 Dialogue Summarization | Zero-Shot, Few-Shot, Aspect-Based

How we build SOTA dialogue summarization systems for customer service, meeting transcripts, and sales calls. Explore zero-shot, few-shot, and aspect-based environments.

August 21, 2023
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Building Production-Grade spaCy Text Classification Pipelines for Business Data

Unlock the full potential of spaCy with this guide to building production-grade text classification pipelines for business data.

January 29, 2023
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AI in Nutrition: How Technology Is Transforming What We Eat

Learn about modern applications of AI in nutrition, from food identification using deep neural network segmentation to estimating calories and nutrition.

March 29, 2022
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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
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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
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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.

August 21, 2023
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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.

June 29, 2022
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5-Step Guide to Building a Churn Prediction Model

Learn how to utilize machine learning to get a higher customer retention rate with this step-by-step guide to a churn prediction model. 

September 29, 2021
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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.

September 29, 2021
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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
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Three Unique Architectures For Deep Learning Based Recommendation Systems

Deep learning recommendation system architectures make use of multiple simpler approaches in order to remediate the shortcomings of any single approach to extracting, transforming and vectorizing a large corpus of data into a useful recommendation for an end user.

September 29, 2021
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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.

November 10, 2021
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Ai & machine learning consulting company focused on building production level ai projects. We specialize in data science and deep learning development that give businesses a better understanding of their revenue streams and building tools to make them more profitable.
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