Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

How can you improve your chatbot experience with your customers to increase engagement? Create rewarding chatbot experiences using the latest research from human-computer interaction and psychology.

Matt Payne

November 7, 2023

The Width.ai blog

Blueprints For Using Ai & ML In Your Business

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

How can you improve your chatbot experience with your customers to increase engagement? Create rewarding chatbot experiences using the latest research from human-computer interaction and psychology.

Matt Payne

November 7, 2023

A Practical Guide to Train an Open Source LLM on MosaicML

MosaicML enables you to train a 30-billion parameter LLM from scratch in a few hours. Learn how to do it efficiently in this guide.

Matt Payne

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Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Learn how you can apply reinforcement learning from human feedback to open-source LLMs to create powerful chatbots and autonomous agents for your business.

Matt Payne

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Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Take a look at how the prompting framework PEARL works and how it improves the results on long form documents for summarizing and Q&A

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Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

With methodical fine-tuning and a dynamic prompting system, chatbots powered by open-source large language models can provide highly meaningful and personalized customer support. Find out how!

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Our Techniques for Building LLM-Powered Autonomous Agents

LLMs have moved past single task prompts and pipeline based operations to create autonomous agents that plan and execute on tasks.

Matt Payne | Patrick Hennis

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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.

Nitin Rai

October 16, 2023

Unleashing the Power of JVector: A Comprehensive Guide to The Java Embedded Vector Search Engine

Take a look at how you can implement the razor fast JVector embedded vector search system in java and how it compares to other search systems on large web style databases

Matt Payne

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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.

Matt Payne

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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

Matt Payne

October 5, 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

READ

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.

April 15, 2023

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Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

How can you improve your chatbot experience with your customers to increase engagement? Create rewarding chatbot experiences using the latest research from human-computer interaction and psychology.

Nov 7

READ

A Practical Guide to Train an Open Source LLM on MosaicML

MosaicML enables you to train a 30-billion parameter LLM from scratch in a few hours. Learn how to do it efficiently in this guide.

Nov 2

READ

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Learn how you can apply reinforcement learning from human feedback to open-source LLMs to create powerful chatbots and autonomous agents for your business.

Nov 2

READ

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Take a look at how the prompting framework PEARL works and how it improves the results on long form documents for summarizing and Q&A

Nov 1

READ

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

With methodical fine-tuning and a dynamic prompting system, chatbots powered by open-source large language models can provide highly meaningful and personalized customer support. Find out how!

Oct 31

READ

Our Techniques for Building LLM-Powered Autonomous Agents

LLMs have moved past single task prompts and pipeline based operations to create autonomous agents that plan and execute on tasks.

Oct 26

READ

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Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

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Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

Blueprints For Using Ai & ML In Your Business

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

A Practical Guide to Train an Open Source LLM on MosaicML

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

Our Techniques for Building LLM-Powered Autonomous Agents

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

Unleashing the Power of JVector: A Comprehensive Guide to The Java Embedded Vector Search Engine

An Introduction to Ai in Fault Localization for Software Programs using FFL

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

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

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

Let's Talk About Ai

Read Our Most Popular Case Studies

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

A Practical Guide to Train an Open Source LLM on MosaicML

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

Our Techniques for Building LLM-Powered Autonomous Agents

Recent Blog Posts

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

A Practical Guide to Train an Open Source LLM on MosaicML

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

Our Techniques for Building LLM-Powered Autonomous Agents

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

Unleashing the Power of JVector: A Comprehensive Guide to The Java Embedded Vector Search Engine

An Introduction to Ai in Fault Localization for Software Programs using FFL

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

Follow Width.ai

Read Use Case Blueprints
That Outline Building
Ai Business Tools

Find Content By Tag

Everything ML

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

Blueprints For Using Ai & ML In Your Business

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

A Practical Guide to Train an Open Source LLM on MosaicML

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

Our Techniques for Building LLM-Powered Autonomous Agents

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

Unleashing the Power of JVector: A Comprehensive Guide to The Java Embedded Vector Search Engine

An Introduction to Ai in Fault Localization for Software Programs using FFL

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

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

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

Let's Talk About Ai

Read Our Most Popular Case Studies

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

A Practical Guide to Train an Open Source LLM on MosaicML

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

Our Techniques for Building LLM-Powered Autonomous Agents

Recent Blog Posts

Do Users Prefer Chatbots or Menu-Based Formats? A Deep Dive Into What The Numbers Say

A Practical Guide to Train an Open Source LLM on MosaicML

Fine-tuning Open LLMs with Reinforcement Learning from Human Feedback

Prompting Large Language Models to Plan and Execute Actions Over Long Documents (PEARL)

Building a Chatbot: Super-Helpful Personalized Customer Service Using Llama 2

Our Techniques for Building LLM-Powered Autonomous Agents

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

Unleashing the Power of JVector: A Comprehensive Guide to The Java Embedded Vector Search Engine

An Introduction to Ai in Fault Localization for Software Programs using FFL

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

Follow Width.ai

Read Use Case BlueprintsThat Outline Building Ai Business Tools

Find Content By Tag

Everything ML

Read Use Case Blueprints
That Outline Building
Ai Business Tools