Stories from the Hackery

In this episode of Stories from the Hackery, we learn about Code Campfire, a new community initiative founded by NSS grad Preston Robbins. Joined by Lynn Samuelson, they discuss how Code Campfire supports Nashville Software School graduates and other juniors in tech with projects, mock interviews, and gamified job search tactics. Preston shares how the idea came to life from a simple need for peer support, while Lynn dives into how hands-on projects are equipping participants with the practical experience to keep their skills sharp. We also discuss Code Campfire's weekly sessions, where mock interviews, resume reviews, and collaborative problem-solving sessions keep participants engaged and building connections. Whether you’re a recent bootcamp grad or an experienced tech professional looking to give back, Code Campfire is the place to grow your community and your skills. Tune in to learn how you can join in. 00:00 Introduction to Stories from the Hackery 01:50 Meet the Guests: Preston Robbins and Lynn Samuelson 05:57 What is Code Campfire? 09:57 Challenges and Iterations 15:02 The Importance of Projects 20:13 Project Structure and Roles 25:23 Projects Beyond Tier 1 31:25 Gamification of the Job Search 33:03 How to Get Involved with Code Campfire 41:18 Final Thoughts and Technology Guilty Pleasures Links from the show: Nashville Software School: https://nashvillesoftwareschool.com Code Campfire: https://codecampfire.org

In the latest episode of Stories from the Hackery, we catch up with Steve Brownlee, Nashville Software School’s lead full-stack software development instructor, for a behind-the-scenes look at how he rebuilt an application we used for pre-work that was discontinued several years ago using an open-source agentic AI tool. The result? A working prototype that would’ve taken much longer to code by hand—and a glimpse at how AI is reshaping software development. Watch Steve's Demo here: https://youtu.be/RWhONVTO2oQ?si=KmC8cxhHyCVARKI0&t=1855 00:00 Intro: Meet Steve Brownlee 01:16 Case Study: Building an Application with Roo Code 04:17 The Pre-work Application's Background and Purpose 06:58 Initial Prompts and First Impressions 09:33 Refining the Code and Overcoming Challenges 18:55 Adding Features and Enhancements 22:38 The Role of Experience in Using AI Tools 26:14 Future of Junior Developers in an AI-Driven World 30:55 Interlude - You can view Steve’s demo here: https://youtu.be/RWhONVTO2oQ?si=KmC8cxhHyCVARKI0&t=1855 31.21 The Role of AI in Software Development 34.47 Future of Software Development 50:24 Conclusion and Final Thoughts Links: Nashville Software School: https://nashvillesoftwareschool.com Roo Code: https://github.com/RooVetGit/Roo-Code Anthropic/Claude LLM: https://claude.ai Monaco Code Editor: https://microsoft.github.io/monaco-editor/

Life-long learning can open doors you never imagined. In this episode of Stories from the Hackery, we talk with Chris Miller, an NSS alumnus who pivoted into software development after studying jazz composition and bass performance in college and recently tackled a high-stakes project supporting one of the largest live-streaming events in the world. Chris shares how skills he developed as a musician provided the foundation for a growth-filled software development career. We also explore the value of knowing how to learn—whether it’s troubleshooting backend systems, understanding new technologies, or embracing generative AI as another tool in the developer's toolbox. Whether you're just starting your NSS bootcamp, navigating unfamiliar technologies, or simply inspired by stories of growth, this episode highlights the power of continuous learning. It’s a story about how curiosity, adaptability, and the willingness to step into unknown territory can shape an extraordinary career. 00:00 - Intro: Meet Chris Miller 02:34 - From Music Major to Software Developer 06:01 - Early Career Experiences at Aspire and CareBridge 15:00 - Moving to HCA and Tackling Large-Scale Healthcare Data 18:52 - Joining Tubi: Initial Projects and Technical Curiosity 21:02 - Scaling Challenges: Preparing to Stream a Major Live Event 24:37 - Musicianship, Mindset, and the Art of Continuous Learning 29:38 - Tubi Scaling Project 36:21 - Key Lessons from Scaling Under Pressure 39:50 - Generative AI: Skepticism, Practicality, and Future Outlook 51:26 - The Role of Understanding in Software Development 56:54 - Closing Thoughts and Reflections Links from the show: Nashville Software School – https://nashvillesoftwareschool.com Tubi – https://tubitv.com HCA Healthcare – https://hcahealthcare.com CareBridge Health – https://www.carebridgehealth.com Aspire Health – https://www.aspirehealthcare.com

Generative AI Levels the Playing Field for Neurodiverse Technologists | Stories From The Hackery by Nashville Software School

In this episode of Stories from the Hackery, John Wark, founder and CEO of Nashville Software School, talks with Charlie Apigian, a well-known figure in Nashville's tech community with a significant academic background. Charlie discusses his journey from academia to consulting, the importance of bridging the gap between education and real-world application, and how his company, Data Inspire, integrates eager new coders into meaningful projects. The episode dives into the evolving roles in tech, particularly data engineering, and the impact of generative AI. Charlie also emphasizes the importance of teamwork, community building, and continuous learning in the fast-paced tech world. 00:00 Introduction to Stories from the Hackery 01:51 Meet Charlie Apigian: From Detroit to Data Science 04:13 The Value of Skills 05:39 NSS Success Story: From Musician to Developer 11:22 The Role of AI in Accelerating Projects 23:52 The Importance of Data Engineering 27:57 Evolution of Data Roles 29:11 Challenges in Data Engineering 29:37 Importance of Reliable Data 31:24 Complex Data Architectures 34:30 Learning and Adapting in Tech 37:33 Teamwork and Project Management 43:20 Community and Future of AI 46:01 Wrap-Up and Final Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com Data Inspire: https://datainspire.co/ Data Science Nashville Meetup: https://www.meetup.com/data-science-nashville/ LBMC: https://www.lbmc.com/ Belmont University: https://belmont.edu Middle Tennessee State University: https://datascience.mtsu.edu/ Nashville Technology Council: https://technologycouncil.com/

In this episode of Stories from the Hackery, we hear from Jordan Rosas, a graduate of Nashville Software School's Web Development Cohort 29. Jordan shares his journey from working at an Amazon warehouse to becoming a Software Engineer and building SocialWaive, a social media management application. Jordan shares insights into his career progression, the challenges of creating a social media management tool, and how he leverages various AI technologies including generative AI, machine learning, and NLP. He discusses using tools like GitHub Copilot and ChatGPT in both his professional and side projects, emphasizing the importance of problem-solving skills, building for real users, and the evolving nature of tech roles. Jordan also touches on the business aspects of developing a product and offers advice for newcomers to the tech industry. 00:00 Introduction to Stories from the Hackery 00:38 Meet Jordan Rosas: From an Amazon warehouse to Software Engineer 04:22 Jordan's Side Project: Building SocialWaive 06:02 Using Generative AI in Development 11:38 Challenges and Benefits of AI Tools 19:02 Learning and Implementing Machine Learning 24:18 Exploring AI Capabilities for SocialWaive 29:11 The Importance of Prompt Engineering 38:30 Lessons Learned from Building a SaaS Product 41:41 Advice for Aspiring Tech Professionals 44:01 Closing Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com How are NSS Alumni Using Generative AI Tools on the Job (Survey 2024): https://learn.nashvillesoftwareschool.com/blog/2024/06/26/how-are-nss-alumni-using-generative-ai-tools-on-the-job SocialWaive: https://www.socialwaive.com/ GitHub CoPilot: https://github.com/features/copilot Hugging Face: https://huggingface.co/ “The End of Programming as We Know It” by Tim O’Reilly: https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/

In this episode of Stories from the Hackery, we talk to Ryan Bishop, a Nashville Software School (NSS) graduate, about his journey into software development and his experiences with generative AI. Ryan shares how prompt engineering has become a critical part of his work, discussing its applications in both coding and management. He provides insightful advice for new developers and emphasizes the importance of keeping a growth mindset. Tune in to learn how generative AI tools like ChatGPT and GitHub Copilot are reshaping the way developers work, and how Ryan has integrated these tools into his daily workflow. 01:33 Meet Ryan Bishop: From Self-Learner to Software Developer 06:18 Prompt Engineering and Contextual Use 12:20 Use Cases for Generative AI 24:53 Coding with AI: Benefits and Challenges 30:52 Learning to Write Prompts 33:01 Navigating the Overwhelming World of AI Resources 35:14 Teaching Generative AI to Beginners 42:11 Generative AI as a Learning Buddy 49:24 The Influence of Christopher Alexander 57:29 Rediscovering Art with Technology 01:00:38 Final Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com How are NSS Alumni Using Generative AI Tools on the Job (Survey 2024): https://learn.nashvillesoftwareschool.com/blog/2024/06/26/how-are-nss-alumni-using-generative-ai-tools-on-the-job A Pattern Language - Christopher Alexander: https://a.co/d/9g7vSp8 Telehack.org - https://telehack.org

In this episode of Stories From The Hackery, we chat with Spencer Sharpe and Jack Parsons, two NSS graduates and lead software developers. We catch up on their journeys of transitioning from music to tech and explore the impact and utilization of generative AI tools in their current roles. They also share their insights on the evolving landscape of software development. Listen in for their advice on leveraging AI tools, maintaining code quality, and shaping a career in tech today. SHOW NOTES 00:00 Introduction to Stories from the Hackery 00:37 Meet the Guests: Spencer Sharpe and Jack Parsons 02:34 Musical Backgrounds and Career Shifts 9:52 Generative AI Tools and Productivity 17:31 Generative AI for Unit Testing 19:21 Quality and Context in AI-Generated Code 29:12 AI in Code Review 29:29 The Required Human Element 31:53 Training and Assessing Junior Developers 37:52 Resources for Learning to Use Generative AI 42:18 Advice for Aspiring Tech Professionals 44:06 The Future of Software Engineering 50:33 Technology Guilty Pleasures 52:19 Final Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com How are NSS Alumni Using Generative AI Tools on the Job (Survey 2024): https://learn.nashvillesoftwareschool.com/blog/2024/06/26/how-are-nss-alumni-using-generative-ai-tools-on-the-job Ethan Mollick: 15 times to Use AI and 5 Not to https://www.oneusefulthing.org/p/15-times-to-use-ai-and-5-not-to Prompt Engineering LLMs by John Berryman and Albert Ziegler https://www.amazon.com/Prompt-Engineering-LLMs-Model-Based-Applications/dp/1098156153/

In this episode of Stories from the Hackery, John Work, founder and CEO of Nashville Software School, sits down with NSS graduates Pemberton Heath and Rob Schulteis to discuss their careers post-NSS. They share insights on how they have integrated generative AI tools like ChatGPT and Claude into their daily work routines, focusing on generative AI as a learning and productivity aid. The conversation also delves into the evolving skills needed for tech careers and the potential pitfalls of relying too heavily on generative AI for learning when you’re first starting out. Tune in to hear real-world applications and thoughtful reflections on the impact of generative AI on professional growth and learning in the tech industry. Show Notes: 00:00 Introduction to Stories from the Hackery 00:33 Meet our Guests: Pemberton Heath and Rob Schulteis 02:23 Pemberton Heath's Journey to Full Stack Development 06:39 Rob Schulteis' Path from the Music Industry to Data Analytics 14:00 Using Generative AI Tools for Learning 33:21 Prompt Engineering and Effective Generative AI Use 38:25 Adding A Human Touch & Generative AI's Infinite Patience 42:00 A Tool To Fight Imposter Syndrome 43:45 Using Generative AI to Write Code 47:18 Challenges of Generative AI in Learning Environments 51:06 Understanding Codebases with Generative AI 58:52 The Evolving Role of Developers 01:05:04 Integrating Generative AI in Education 01:18:36 Final Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com How are NSS Alumni Using Generative AI Tools on the Job (Survey 2024): https://learn.nashvillesoftwareschool.com/blog/2024/06/26/how-are-nss-alumni-using-generative-ai-tools-on-the-job The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4945566 Can GenAI Actually Improve Developer Productivity?: https://resources.uplevelteam.com/gen-ai-for-coding The Impact of Large Language Models on Programming Education and Student Learning Outcomes: https://www.mdpi.com/2076-3417/14/10/4115 Coding on Copilot: 2023 Data Suggests Downward Pressure on Code Quality: https://www.gitclear.com/coding_on_copilot_data_shows_ais_downward_pressure_on_code_quality Onboarding to a 'legacy' codebase with the help of AI: https://martinfowler.com/articles/exploring-gen-ai.html#memo-09

In this episode of Stories from the Hackery, we catch up with Brandon Valentine, a founding board member at NSS and a lifelong software developer. Brandon departed GitHub this spring after five years, where he spent most of his time leading a team that collaborated with some of the largest development shops in the world. Brandon shares his insights from his front-row seat on how generative AI is, or is not, shaping the careers of software developers and the job market. 00:00 Introduction to Stories from the Hackery 00:35 Meet Brandon Valentine 10:33 Generative AI and the Job Market 34:35 Generative AI: Opportunities and Risks 44:36 Upskilling the Workforce: The Role of AI 47:28 Training the Next Generation of Developers 52:21 The Evolution of Software Development Roles 01:07:08 Personal Reflections and Recommendations 01:13:29 Conclusion and Final Thoughts Links: Nashville Software School: https://nashvillesoftwareschool.com Brandon Valentine: https://www.linkedin.com/in/brandonvalentine/ Goldman Sachs - GenAI: Too much spend, too little benefit?: https://www.goldmansachs.com/insights/top-of-mind/gen-ai-too-much-spend-too-little-benefit

Explore UI & UX design with Susan Culkin, a senior product designer and instructor at Nashville Software School. In this episode of Stories from the Hackery, Susan shares insights on the evolving field of user experience design, the importance of collaboration between designers and developers, and how she's giving back to the tech community through teaching and philanthropy. Show Notes: Introduction: 00:00 Susan's Journey to Nashville: 04:38 Defining UI and UX Design: 07:22 Common Misconceptions about UI & UX: 12:20 Collaboration Between Designers and Developers: 15:53 Staying Current in UI & UX Design: 24:00 Impact of Generative AI on UI & UX: 27:37 Teaching UI & UX at NSS: 32:10 Student Backgrounds at NSS: 39:32 Supporting NSS and Giving Back: 43:03 Nashville Diaper Connection: 46:07 Glass Blowing Passion: 49:19 Conclusion: 52:20 Links from the show: Nashville Software School: https://nashvillesoftwareschool.com Susan Culkin: https://www.linkedin.com/in/susanculkin/ Nashville Diaper Connection: https://www.nashvillediaperconnection.org/ Wilmington Trust: https://www.wilmingtontrust.com/ Figma Config Conference: https://config.figma.com/ Corning Museum of Glass: https://home.cmog.org/ Chartres Cathedral Stained Glass: https://www.cathedrale-chartres.org/en/cathedrale/monument/the-stained-glass-windows/

In this episode of Stories from The Hackery we catch up with Data Science 3 alumni Dibran Rexhepi, a former biology graduate turned data engineer and now instructor for the Part-time Analytics program at Nashville Software School. From his humble beginnings in a chemistry lab to discovering the world of programming through a bioinformatics class, our guest shares how he found his passion for coding. Tune in as Dibran reflects on his experience at Nashville Software School, the challenges he faced, the lessons learned, and how he now gives back by teaching others. Are you or someone you know ready to begin your NSS Journey? Visit our website to learn more about our upcoming programs and apply today! https://nashvillesoftwareschool.com/calendar/upcoming-programs/ Chapters: 00:00 - Introduction 01:54 - Transition to Tech 03:30 - Discovering Nashville Software School 05:03 - Embracing Challenges 06:46 - Teaching and Giving Back 07:45 - Thriving Amidst Challenges 09:05 - Mentoring and Growth 11:24 - Advice for Aspiring Developers 12:34 - Insights from Industry Experience 15:30 - Reflecting on NSS Experience

As we continue to discuss generative AI on Nashville Software School’s podcast, Stories from the Hackery, Founder and CEO John Wark and lead Data instructor Michael Holloway, dive into various techniques for leveraging large language models (LLMs) like generative AI. They explore the potential of using hosted public LLMs via chatbot interfaces and discuss strategies for embedding LLMs into applications. One such technique discussed is the use of a prompt engineering, which involves wrapping the LLM API to tailor user prompts for more effective responses. They also discuss more advanced techniques like retrieval-augmented generation (RAG), which involves using external data to tailor LLM responses further. This approach helps mitigate challenges like hallucination and ensures contextually relevant responses. Additionally, they touch on fine-tuning LLMs for specific applications, which requires more computational resources and domain expertise. John and Michael highlight the importance of having machine learning skills to implement these techniques effectively. While fine-tuning LLMs may require specialized skills and resources, the emergence of smaller LLMs makes certain applications more accessible. They also mention the potential of multi-agent models for deeper and more focused outputs, indicating an exciting direction for LLM applications. For more information on the evolving landscape of LLMs and the need for organizations to stay informed about these advancements to harness their full potential in this episode of Stories from the Hackery by Nashville Software School. START YOUR NSS JOURNEY To learn more about Nashville Software School and our upcoming programs, visit our website at https://NashvilleSoftwareSchool.com SUPPORT NSS Want to support NSS in our mission to teach adults skills needed for careers in tech? Visit our website to donate to the scholarship fund and learn about other volunteer opportunities! Nashss.com/Give CHAPTERS: 00:00 - Introduction 01:57 - Public Chat Bot Usage 02:47 - Prompt Engineering 03:21 - Retrieval Augmented Generation (RAG) 3:57 - Fine Tuning of Models 04:37 - Technical Implementation 05:10 - Product Engineering and Its Role 08:17 - Implementing Prompt and Product Engineering 10:15 - Utilizing External Context with RAG 11:20 - Responsible AI Considerations 16:57 - Overcoming Challenges and Limitations 23:53 - Future Trends and Considerations 29:48 - Prompt and product engineering techniques

In this episode of Stories from the Hackery, Founder and CEO of Nashville Software School, John Wark, sits down with lead analytics instructor, Michael Holloway, to provide insights into the impact of generative AI tools like ChatGPT on data analytics and data science. They highlight the importance of human oversight and contextual understanding in leveraging these tools effectively as well as strategies for adapting programs at Nashville Software School to prepare students for evolving roles in data analytics and data science are discussed, emphasizing the need for continuous learning and skill development. START YOUR NSS JOURNEY To learn more about Nashville Software School and our upcoming programs, visit our website at https://NashvilleSoftwareSchool.com SUPPORT NSS Want to support NSS in our mission to teach adults skills needed for careers in tech? Visit our website to donate to the scholarship fund and learn about other volunteer opportunities! https://Nashss.com/Give CHAPTERS: 00:00 - Introduction. 03:10 - An overview of data analytics and data science. 04:30 - The evolution and impact of generative AI tools like ChatGPT and their role in supporting data analytics and data science tasks. 05:33 - Similarities and differences between software development and data analytics/data science are explored, focusing on how generative AI tools transform learning and work processes. 06:31 - Similarities in using generative AI tools for coding tasks and the importance of understanding contextual knowledge and problem domains. 08:12 - Key differences between software development and data analytics/data science, such as exploratory nature and iterative problem-solving approaches, are highlighted. 10:18 - The iterative exploration process in data analytics is discussed, emphasizing the need for planning, design, and contextual understanding of the data. 12:10 - Limitations of generative AI tools like ChatGPT in reasoning and understanding complex data contexts are explained. 13:05 - Capabilities and limitations of generative AI tools, emphasizing their dependence on training data and human validation. 17:42 - The importance of human oversight in using generative AI tools. 22:58 - Domain expertise in data analytics and data science tasks, emphasizing the limitations of generative AI tools. 24:48 Training strategies at NSS to prepare students for evolving roles in data analytics and data science. 46:08 - Strategies for adapting training content to incorporate skills relevant to generative AI tools. 01:04:2 - Closing.

In this Alumni Spotlight episode of Stories from the Hackery, we catch up with Full-time Web Development Cohort 22 alumna Kimmy Bird to discuss her NSS journey. From her time as a product owner at an international education company to now working as an Elixir backend developer in Germany, hear about the diverse paths NSS graduates have access to in the tech industry after graduation. Connect with Kimmy on LinkedIn! https://www.linkedin.com/in/kimberly-j-bird/ Learn more about Nashville Software School and begin your own journey toward a career in tech, visit our website NashvilleSoftwareSchool.com Nashville Software School is the nation’s first non-profit coding bootcamp, dedicated to teaching adults how to code through web development, data analytics, and data science. If you’d like to help support NSS’ mission to diversify tech, visit our giving site to make a monthly or one-time donation: https://support.nashvillesoftwareschool.com/ways-to-give Timestamps: 00:00 Introduction 01:31 Transitioning to Tech 04:05 Learning Experience and Overcoming Challenges 08:33 Career Transition and NSS Support 13:36 International Opportunities in Tech 16:31 Gratitude and Acknowledgments 20:43 Final thoughts 21:20 Outro

Gabe Guio is a Nashville Software School graduate who contributed to the recent local data conference, DataTune Nashville, in a big way. He had the opportunity to not only build the website for the conference that serviced over 400 attendee registrations, but also built a conference scanner application that sponsors used to capture the information of attendees as they visited sponsor tables for a raffle prize at the end of the day. In this episode of Stories from the Hackery, Gabe shares how he was connected with the team at DataTune Nashville and what tools he used to create the applications for the conference. Resources References in this podcast: Connect with Gabe on LinkedIn: https://www.linkedin.com/in/gabeguio/ Gabe’s Conference Scanner App Walk-through Videos: Conference Demo Video: https://www.youtube.com/watch?v=tEyQImODfUw Advized Raffle Short: https://www.youtube.com/shorts/9bG_WHxK00Q Learn more about Nashville Software School and our upcoming programs when you visit our website: https://NashvilleSoftwareSchool.com Chapters: 0:00 Intro 2:49 Gabe’s background before attending Nashville Software School 5:29 - Volunteering with Data Tune Nashville Conference 7:30 - Building the Website for Data Tune Nashville 11:39 - Building the Conference Scanner app for Data Tune Nashville 17:44 - Gabe’s experience with the Nashville tech community 20:33 - Outro Producer & Editor: Jessica Grande

From mock interviews, to resume talks and Demo Day scheduling, there’s no shortage of opportunities for our students to gain the skills necessary to their job search after graduation.! In the latest episode of Stories from the Hackery, NSS’s Career Development Team Lead, Ashley Canino, and Career Development Specialist, Michael Frieh, talk about how they work with every student at NSS to prepare them for their job search post-graduation! Learn more about Nashville Software School and our upcoming programs when you visit our website: https://NashvilleSoftwareSchool.com 0:00 Intro 1:37 Career Development Services Overview 1:48 What to expect from Career Development at NSS 8:32 Meet the community at Round Table Events Overview 10:25 Preparing with Mock Interviews 14:25 Present your project at Demo Day 17:06 Outro Producer & Editor: Jessica Grande

Nashville Software School Founder and CEO John Wark sits down with Full-time Web Development Lead Instructor, Steve Brownlee, to discuss Steve’s research in how generative AI can be a helpful tool the popularity of LLMs continue to grow in software development. Learn more about Nashville Software School and our upcoming programs when you visit our website: https://NashvilleSoftwareSchool.com 0:00 Intro 1:53: Generative AI is creating a new set of skills that developers need to learn 5:29 How NSS grads were using generative AI in mid-2023 9:30 The generative AI hype cycle & NSS’s exploration 14:05 How have NSS’s students learned to use generative AI as a learning assistant 20:04 Deepening our understanding of generative AI 24:50 Steve Brownlee’s exploration of generative AI for developers 31:40 Can these tools handle system level tasks? 42:52 Exploration with GitHub Copilot 49:33 Grading ChatGPT, Claude, and GitHub Copilot models 51:10 Takeaways: How we plan to incorporate generative AI and prompt engineering into our Web Developer program 1:01:25 Final Thoughts Resources References in this podcast: Steve Brownlee’s blog post: https://www.stevebrownlee.com/genai-stole-my-work/ Chat GPT: https://chat.openai.com/ Claude: https://claude.ai/login?returnTo=%2F Copilot: https://github.com/features/copilot Language References found in the podcast: GenAI = Generative AI. Refers to artificial intelligence systems that have the capability to generate new content, such as images, text, audio, or even video, that is similar to, or inspired by, the data they were trained on. These systems are designed to learn the underlying patterns and structures within the data and then generate novel outputs based on that understanding. LLMs = Large Language Models. Refers to a type of artificial intelligence (AI) model that has been trained on vast amounts of text data in order to understand and generate human-like language. These models, such as OpenAI's GPT (Generative Pre-trained Transformer) series, are designed to process and generate text in a wide range of contexts, tasks, and languages. Foundation Model = Foundation models use self-supervised learning to create labels from input data. This means no one has instructed or trained the model with labeled training data sets. This feature separates LLMs from previous ML architectures, which use supervised or unsupervised learning. Emergent Behavior = Refers to actions or patterns that weren't explicitly programmed into an AI system but developed as a natural outcome of its complexity and interactions. Imagine a colony of ants. No single ant has the blueprint for the colony's intricate behavior. Producer & Editor: Jessica Grande

Markus Matheny graduated with full time Data Analytics Cohort 9. I've worked a hundred jobs and never had a career. However, I've always lived a data-driven approach to my life, trying to look at numbers and seeking truth that way. After spending years teaching myself, I realized this was a passion and so I selfishly enrolled in data school to learn how to make my own projects.

Diarra Fall graduated with full time Data Analytics Cohort 9. I'm a licensed civil engineer with 7 years of experience in traffic engineering and bridge design. I was drawn to data analytics because as our transportation systems get smarter, we continually add more sensors that are constantly collecting data. Most transportation professionals don't have the tools to churn through all the data to see what it can tell us.