NineTwoThree Resources

Read ebooks, resources, and resources written by our experts. Browse through ideas and projects we have been working on and get free PDF copies of each study.

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Everytown - Building a Solution to Gun Safety Using LLMs

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Large-Language Models (LLMs) are revolutionizing the way organizations manage complex tasks. However, deploying LLMs effectively requires more than simply integrating them into existing systems. This was the challenge Everytown faced when they sought to use AI to support their mission of promoting gun safety across the U.S. They needed a sophisticated solution to keep their team informed about constantly changing regulations, ensuring that their efforts remained accurate and impactful.

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NineTwoThree was selected by the CR Innovation Lab to help build an experimental chatbot that combines the power of AI with CR's expertise to answer your questions and offer product recommendations.

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Tackling Hallucinations in LLMs with RAG

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LLMs like ChatGPT have introduced transformative capabilities for organizations, enabling innovative features and applications. However, LLMs also come with risks, particularly the issue of "hallucinations," where the model generates incorrect or misleading information. This case study explores Retrieval-Augmented Generation (RAG), a technique designed to mitigate these risks by allowing LLMs to access external knowledge sources.

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Helping Students Perform Self-Evaluations 80% Faster with Gamification

Custom Software Development

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By collaborating with NineTwoThree Studio, PMI reduced their assessment time from three hours to just 40-60 minutes. The gamified approach dynamically adjusted question difficulty based on student performance, making the process more engaging and efficient.

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Predict Qualified Leads from Previous Consumer Actions

Machine Learning

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This case study explores the challenges businesses face in extracting valuable insights from their data and proposes a solution.

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Predictive Lead Scoring Increases Insurance Company's Top Line

Machine Learning

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In the competitive world of insurance sales, efficiency is paramount. Cultivating a prospect from initial contact to a closed deal is a complex process, often riddled with wasted time and missed opportunities. This case study looks into how NineTwoThree partnered with a mid-sized insurance company to revolutionize their lead generation strategy using the power of Machine Learning (ML).

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Building a Privacy-First LLM

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In the evolving landscape of AI technology, the integration of Large-Language Models (LLMs) into organizational workflows have increased. For security-focused entities, the deployment of LLMs presents unique challenges, particularly concerning data privacy and reliability. This case study offers an in-depth exploration of the process involved in building and integrating Privacy-First LLMs. It sheds light on how organizations can effectively leverage AI while prioritizing security and compliance. By adopting privacy-focused systems, security-conscious entities can successfully navigate the complexities of AI integration while safeguarding the integrity and confidentiality of their data.

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How Retrieval Augmented Generation Powers Enterprise Generative AI Projects

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As with any groundbreaking technology, Generative AI has imperfections. One of the most prominent of these limitations is the challenge faced by LLMs in delivering accurate, sourced, and contextually appropriate content. This main limitation makes it almost impossible for a company to stake its reputation based on an LLM’s unknown output. How would you feel if a brand you trusted lied to you while you asked them questions about your account? This fear has led to the inception and growing relevance of retrieval-augmented generation (RAG). With RAG companies have more control over the materials an LLM uses for its information and the answers it gives users.

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Integrating IoT Solutions for The Golf Course and Increasing Downloads by 304%

Internet of Things

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Realizing the depth of the challenges and recognizing the need to act swiftly, SWEE sought external help. They turned to NineTwoThree, a renowned app development company known for breathing life into struggling projects. With an impressive portfolio that included multiple successful Internet of Things (IoT) applications, NineTwoThree was the perfect ally for SWEE.

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Why Semantic Search Will Change the Internet

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While LLMs are trained on large amounts of data, they don’t have the ability to understand the context and intent of the words they are trained on. This is where semantic search enters the conversation. Semantic search has the ability to recognize the underlying meaning of search queries and return results based on the meaning, even if the search query doesn’t contain the exact keywords that are used in the results. Before we can dive into how semantic search makes LLMs better, we need to first look at semantic search itself.

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Integrating With Dorel Baby Monitors & Selling Thousands at Target

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When it came to developing their pioneering initial baby monitor application, Dorel Industries recognized the importance of finding a collaborator who shared their passion for technical pushing boundaries. That's why they turned to NineTwoThree Studio

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How to Evaluate and Hire an App Agency

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How to Hire Evaluate and Hire an App Agency provides a clear roadmap for those seeking to navigate the complex terrain of app development. Whether you're an entrepreneur launching your first app, or an enterprise looking to expand your digital footprint, finding the perfect agency is crucial.

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The Complete Guide to Mobile App Development Planning And Costs

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When you're investing time, effort, and a substantial amount of money into the app development market, you're naturally looking for a worthwhile return. That's where a solid grasp of the cost structure comes into play.

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ChartMogul: Scaling Users by Creating an Android App

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NineTwoThree Studio and ChartMogul, a leading SaaS subscription analytics platform, developed and launched an Android app that expanded its user base.

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Building a Saas From 0 to $100K ARR in 9 Months

Business Models

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With Altar Live, we recognized an untapped potential in serving religious communities worldwide. Understanding the importance of faith and the growing need for digital solutions for congregations, we tailored our offerings to cater specifically to churches. Our unique approach and deep understanding of this niche market resonated profoundly, leading us to achieve an annual recurring revenue (ARR) of $100,000.

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Predicting 74% of All Houses Sold In The United States Every Month

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DataFlik approached NineTwoThree to build a machine-learning model that generates prioritized lists of motivated sellers more accurately than a human.

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Using Machine Learning to Improve Maintenance Costs in Manufacturing

Machine Learning

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Discover how applying machine learning algorithms to hydraulic system components can improve overall maintenance based on this case study.

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Our Unique Process For Developing Dozens of Consumer Mobile Apps

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Learn about the steps to develop a consumer mobile app, from researching the target market to designing and coding the app, branding, and revenue models.

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Lessons From Building a Mental Health ChatBot

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In this case study we discuss how our client decided to question if ChatGPT could be trained to be a replacement for a therapist.

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Fast Development in High-Growth Software Startups

Custom Software Development

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B2B Collaboration. Dock's software platform drives transparency and collaboration between businesses. NineTwoThree developed features to elevate that platform.

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How to Develop a Successful B2B Application

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Explore the process and methodologies for designing powerful B2B mobile and web apps that address unique complexities and solve business problems.