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Hire a Prompt Engineer with years of experience in a day

The prompt engineering experts at Width.ai integrate SOTA prompting techniques into your LLM workflows everyday, and you can hire one in a day

What do Width.ai Prompt Engineers work on?

How our expert prompt engineers help you move through the everchanging landscape of prompting LLMs and building production grade generative ai systems.

Prompt Engineering & Optimization
Our prompt engineers can help you build production level prompts from scratch or optimize your existing prompt framework. We leverage SOTA techniques to write prompts that are more than just input and output, and help pull as much knowledge and ability out of the LLM.
Automated LLM Agents
Want to build LLM autonomous agents that make decisions on their own and plan tasks? It all starts with how you prompt these LLMs. Our prompt engineering experts leverage planning and execute frameworks that turn these task-agnostic LLMs into systems that can act on their own.
Prompt Evaluation & Testing
We leverage our own internal evaluation frameworks and popular tools like OpenAi Evals to provide clarity around the accuracy of prompts. Deploying these systems allows us to evaluate the systems ability and move the system forward with iterations backed by data.
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Matt is an AI expert in a sea of could/would/should be experts. He is a quick learner, has a sharp mind for business, and knows how to bring AI to organizations struggling to make sense of it all. We used him as a consultant and will re-engage as our internal discussions and project planning progress.

Nick Matteucci

CEO, WorkOtter
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Matt is an expert. He's also a friendly, flexible, and able communicator. He came through just as promised and was able to suggest a helpful work flow for the project. I hope and plan to work with him again.

Jim Dennen

Professor, Denison University
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Matt is an experienced AI expert who can shortcut your time to market. He has a wealth of knowledge and is very willing to share it.

Mic Black

Mic's Lab Pty Ltd
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Matt has expert-level knowledge and a great consultant. He helped us assess an outside vendor and allowed us to ask the right/intelligent questions. In the end, his knowledge saved us from getting into a deal that I think would have been very bad. Saved us $10s of 1000s of $s.

Nicky George

CEO, SalesHawk

How does our ai prompt engineering hire-a-dev work?

Offer customers a unique shopping experience that converts higher or reduce costs via automated conversations. Our deep expertise of building flexible chatbots that scale over time gives you an edge in the age of generative ai.

Choose one of our engineers
We'll send you a number of resumes and projects our world class prompt engineers have worked on. You'll see an exact breakdown of the type of projects they already have experience building to a production level.

Plug and play based on what you need!
Choose a number of hours per month
This information will also include their current availability and hourly rate. Our engineers work on a monthly basis and offer part time and full time hours.

We have both USA based and overseas engineers with varying rates and levels of seniority.
Start building new generative ai systems
If our engineers have the availability you're looking for they can start the same day. We'll start the onboarding process and set up an introduction interview!

Some of the stuff our expert prompt engineers have built

Our prompt engineers leveraged the SOTA ReAct prompting framework on top of an LLM to build a banking chatbot that can dynamically interact with external API services and a vector DB information storage. We've proven that this prompting technique outperforms chatbots that use static prompts or simple vector DB lookups.
We've leveraged the Chain-of-Thought prompting framework to build powerful generative ai tools that are able to reason with themselves about the right path to take when generating a result. This greatly improves the accuracy and gives us valuable insight into how the system reaches the response we see.
Our ai prompt engineers build powerful document summarization systems that are able to combine extractive summarization, entity extraction, and abstract summarization into the same model. Take a look at how we were able to prompt engineer for all of these into the same system.

Why Us?

Width.ai uses a cutting edge understanding of the industry and the available software development tools to focus on solving real problems

Width.ai Case Study

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.

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Width.ai Case Study

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

An asset management company with offices all over the globe was looking for a GPT-3 based software solution to extract the key business topics discussed in financial interviews about a company's growth, health, size, and much more.

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Width.ai Case Study

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 specifics.

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Width.ai Case Study

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

We built an NLP based product that leverages custom large language models to generate rewritten legal clauses with higher quality language and reduced legal risk.

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Width.ai Case Study

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

We built a GPT-3 based software solution to automate raw data processing and data classification. Model handles keyword extraction, entity recognition, text classification.

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Width.ai Case Study

Building A Production Level GPT-3 Twitter Sentiment Analysis Product

An asset management company with offices all over the globe was looking for an NLP based software solution to extract the key business topics discussed in financial interviews about a company's growth, health, size, and much more.

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Width.ai Case Study

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

Matching product data based on UPC code is a use case that allows companies such as retailers, warehouses, and ecommerce companies to automate the process of comparing two different data entries for similarity.

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Width.ai Case Study

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.

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Width.ai Case Study

Automate Information Extraction From Legal Document Cover Sheets | Case Study

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

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Width.ai Case Study

5 Best Use Cases For Product Matching In Ecommerce & Implementation

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

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Width.ai Case Study

98.57% Accuracy Using Image Recognition In The Restaurant SaaS Industry | Case Study

We build custom machine learning models that achieve results unseen in real world use cases. Check out our image recognition model that achieved 98.57% accuracy in a difficult industry.

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Width.ai Case Study

Automate Information Extraction From Legal Document Cover Sheets | Case Study

We built a custom NLP & OCR pipeline to automate information extraction from PDFs and fine tuned it for the legal document domain.

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Width.ai Case Study

Inventory Automation In Ecommerce With Image Recognition and CV | Case Study

How we built an inventory automation tool for ecommerce that automated out 167.3 hr/mo spent managing inventory using computer vision and ML.

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Width.ai Case Study

Inventory Automation In Ecommerce With Image Recognition and CV | Case Study

How we automated out 167.3 hr/mo for an ecommerce company using image recognition and processing.

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Width.ai Case Study

Increasing An Instagram Brands Ad Rev By 36% & Engagement By 58.79%

Case study showing how we used deep learning analytics for social media influencers to understand customers and followers better.

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