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Stories from the Hackery

Auteur(s): Nashville Software School
  • Résumé

  • Find out what it takes to start a career in software development, data analytics, data science, or UI/UX design from those who made the leap. Hear from musicians, veterans, single-moms, teachers, bartenders, postdocs, warehouse workers, and more - all graduates of Nashville Software School (NSS) - as they discuss their transition to tech and their capstone projects presented at Demo Day. Founded in 2012, NSS is a flourishing community of over one thousand alumni, active students, and a team of dedicated instructors all working together to grow and learn their craft. As a non-profit, NSS is committed to growing diversity in tech by creating opportunities for under-represented groups in these fields. Learn more at nashvillesoftwareschool.com.
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Épisodes
  • NSS Alumni Spotlight - Dibran Rexhepi | Stories From The Hackery
    May 22 2024
    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
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    18 min
  • Using LLMs Beyond the Chatbot | Stories From The Hackery
    May 8 2024
    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
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    57 min
  • How is Generative AI Impacting Data Analytics and Data Science? | Stories from the Hackery
    Apr 24 2024
    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.
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    1 h et 5 min

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