Grounded Truth
Claim This Podcastby Watchful
Podcast Overview
<p>As more organizations adopt AI, we emerge from the wild west of training black-box machine learning models and placing AI into production to "see what happens"! With the burgeoning of several specifically designed AI solutions, such as Watchful (insert shameless plug), we begin to demystify the deployment of AI. The Grounded Truth Podcast, hosted by John Singleton (co-founder of Watchful), gathers some of the world's most influential data scientists, machine learning practitioners, and innovation leaders for discussions on how we can accelerate our understanding, development, and implementation of cutting-edge machine learning applications in both academia and enterprise. </p>
Language
🇺🇲
Publishing Since
3/1/2023
Reach the team behind Grounded Truth
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
February 15, 2024
The Future of AI: Doom or Boom? Featuring the Host of The AI FYI Podcast
<p>Welcome to the "Grounded Truth Podcast," where we bring together some of the brightest minds in AI to explore the most pressing topics shaping our future. Our latest episode, "The Future of AI: Doom or Boom?"—promises to be a riveting discussion.</p><p>Joining host John Singleton, Co-founder and Head of Success at Watchful, are: Shayan Mohanty, CEO and Co-founder of Watchful, and the podcast "AI FYI" host Andy Butkovic, Joe Cloughley, and Kiran Vajapey. Together, we'll delve into the fascinating world of AI, covering a wide range of topics:</p><p>• LLMs adoption</p><p>• AI ethics and cultural impact</p><p>• AI's transformative effect on traditional industries.</p><p>• The rapid pace of AI's technological advancement</p><p>Whether you're a seasoned AI expert or simply curious about its impact, this episode promises something for everyone.</p><p>Learn more about The AI FYI Podcast by visiting: http://www.aifyipod.com.</p>
December 14, 2023
Challenges and Shifts Required for Placing Generative AI into Production
<p>In this episode of "Grounded Truth," we dive into the world of Generative AI and the complexities of placing it into production. Our special guests for this episode are Manasi Vartak, Founder and CEO of Verta, and Shayan Mohanty, Co-founder and CEO of Watchful.</p><p>🌐 Verta: Empowering Gen AI Application Development</p><ul> <li>Learn about Verta's end-to-end automation platform for Gen AI application development.</li> <li>Explore how Verta's expertise in model management and serving has evolved to address the challenges of scaling and managing Gen AI models.</li> <li>Visit <a href="http://www.verta.ai">www.verta.ai</a> for more insights.</li></ul><p>🚀 Evolution in the AI Landscape</p><ul> <li>Discover the tectonic shift in the AI landscape over the past year, marked by the release of Chat GPT and the rise of Gen AI.</li> <li>Manasi shares insights into how Gen AI has democratized AI, making it a focal point in boardrooms and team discussions.</li></ul><p>🤔 Challenges in Gen AI Application Production</p><ul> <li>Uncover the challenges and changes in workflow when transitioning from classical ML model development to Gen AI application production.</li> <li>Manasi provides valuable insights into the business hunger for AI and the increasing demand for data science resources.</li></ul><p>🌟 What's Changed Since Chat GPT's Release?</p><ul> <li>Reflect on the transformative impact of Chat GPT and how it has influenced the priorities of data science leaders and organizations.</li></ul><p>🔮 Predictions for the AI Industry in 2024</p><ul> <li>Listen as Manasi and Shayan share their predictions on the future of the AI industry in 2024. Gain valuable insights into the trends and advancements that will shape the landscape.</li></ul>
December 11, 2023
Retrieval Augmented Generation (RAG) versus Fine Tuning in LLM Workflows
<p>🎙️ RAG vs. Fine Tuning - Dive into the latest episode of "Grounded Truth" hosted by John Singleton as he discusses "Retrieval Augmented Generation (RAG) versus Fine Tuning in LLM Workflows" with Emmanuel Turlay, Founder & CEO of Sematic and Airtrain.ai and Shayan Mohanty, Co-founder & CEO of Watchful.</p><p>🤖 RAG: Retrieval Augmented Generation - RAG involves putting content inside the prompt/context window to make models aware of recent events, private information, or company documents.</p><p>The process includes retrieving the most relevant information from sources like Bing, Google, or internal databases, feeding it into the model's context window, and generating user-specific responses.</p><p>Ideal for ensuring factual answers by extracting data from a specified context.</p><p>⚙️ Fine Tuning - Fine tuning entails training models for additional epochs on more data, allowing customization of the model's behavior, tone, or output format.</p><p>Used to make models act in specific ways, such as speaking like a lawyer or adopting the tone of Harry Potter.</p><p>Unlike RAG, it focuses more on the form and tone of the output rather than knowledge augmentation.</p><p>🤔 Decision Dilemma: RAG or Fine Tuning?</p><p>Emmanuel highlights the misconception that fine tuning injects new knowledge, emphasizing its role in shaping the output according to user needs.</p><p>RAG is preferred for factual answers, as it extracts information directly from a specified context, ensuring higher accuracy.</p><p>Fine tuning, on the other hand, is more about customizing the form and tone of the output.</p><p>🔄 The Verdict: A Balanced Approach?</p><p>It's not a one-size-fits-all decision. The choice between RAG and fine tuning depends on specific use cases.</p><p>Evaluating the decision involves understanding the goals: knowledge augmentation (RAG) or customization of form and tone (Fine Tuning).</p><p>Perhaps a balanced approach, leveraging both techniques based on the desired outcomes.</p><p>AirTrain YouTube Channel: https://www.youtube.com/@AirtrainAI</p>
17 total episodes available
Deep-dive analytics for Grounded Truth
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Grounded Truth?
<p>As more organizations adopt AI, we emerge from the wild west of training black-box machine learning models and placing AI into production to "see what happens"! With the burgeoning of several specifically designed AI solutions, such as Watchful (insert shameless plug), we begin to demystify the deployment of AI. The Grounded Truth Podcast, hosted by John Singleton (co-founder of Watchful), gathers some of the world's most influential data scientists, machine learning practitioners, and innovation leaders for discussions on how we can accelerate our understanding, development, and implementation of cutting-edge machine learning applications in both academia and enterprise. </p> - How often does this podcast release new episodes?
This podcast updates inactive.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.