In this bonus episode Digital Jerry (DJ) sits down with the iconic chatbot, ChatGPT, to discuss Jerry Cuomo's article "Exploring the risks and alternatives of ChatGPT”. Engaging in a candid dialogue, DJ provides ChatGPT with a unique platform to articulate the inner workings of its system in its own words. The conversation touches upon the significance of user data privacy, the potential intellectual property concerns tied to AI outputs, and the differences between ChatGPT applications and the foundational GPT models. The episode also shines a spotlight on the enterprise-centric Microsoft Azure OpenAI service and gives listeners a glimpse into the capabilities of watsonx. Join in for a firsthand perspective on the multifaceted world of AI in the enterprise.

In this bonus episode, host Jerry Cuomo explores the intriguing concept of "Training AI to Forget." Joined by 'guest' Dr. Eva Rosenberg, a fictional memory psychologist portrayed using voice synthesis tech, they discuss the intersection of neuroscience, ethics, and computer science in AI. Jerry shares insights from his recent article and introduces "The Neuralyzer," a code experiment that enables AI systems to forget specific terms or data, aligning with governance and ethical considerations like GDPR.

In a surprising twist, Jerry reveals that the role of Dr. Eva Rosenberg was performed by him using technology from Respeecher, an AI startup known for voice synthesis. The episode explores how Respeecher responsibly navigates the ethical landscape of synthetic voices.

This episode serves as a thought-provoking journey into the future of trustworthy AI, examining both the technological and ethical dimensions. Listen now to get inspired and educated about the next frontier in AI governance.

Key Takeaways:

• [00:31 - 00:47] Intro Dr. Eva Rosenberg
• [01:17 - 01:28] Forgetting is a feature
• [02:45 - 03:24] The Neuralyzer
• [04:03 - 04:17] Ongoing Research
• [05:11 - 05:42] I'm Eva
• [05:43 - 06:04] Respeecher
• [06:24 - 06:34] Simulation
• [07:03 - 07:19] Ethical use of synthetic voice

References:

Art of AI Article Series - Training AI to Forget: The Next Frontier in Trustworthy AI

Art of AI Github Repo (neuralizer.py) source code

Towards Making Systems Forget with Machine Unlearning

Machine Unlearning

Selective Forgetting in Deep Networks

Adaptive Machine Unlearning

Respeecher - wikipedia

Respeecher - website

Welcome to a special bonus episode of the Art of A.I. for Business, hosted by our guest and digital colleague, Robo. Today, we dive into the engaging and fascinating world of 'prompt engineering' and the role of 'tokens' in Artificial Intelligence. Tokens are the building blocks that AI models use to understand and generate language. As we chat with an AI, it takes our input, breaks it into tokens and uses them to form responses. However, an AI model's memory has a token limit, and once this limit is reached, the oldest tokens are forgotten. Robo illustrates this through an interactive game and also provides practical tactics for making the most of tokens when engaging with AI models. We discuss strategies for remembering crucial information, managing the context window, and working with APIs. Join us as we explore the art of prompt engineering, a fascinating dance between human skills and AI capabilities. Remember, AI tools don't relieve us of our thinking, they complement it. Until our next episode, goodbye from the Art of A.I. for Business!

Key Takeaways:

• [01:17 - 01:56] Tokens are the building blocks of AI models for language processing
• [01:57 - 03:38] Understanding token limits
• [03:38 - 04:15] Working with APIs

Reference: Cuomo, J. (2023, August 2). My name is Jerry… What’s my name? Medium. https://medium.com/@JerryCuomo/my-name-is-jerry-whats-my-name-7401a8202880

In this bonus episode, guest host Llama2, a Large Language Model, welcomes LangChain, an innovative framework engineered to elevate the capabilities of language models. The conversation aims to highlight the value LangChain brings to LLM-based applications by acting as a bridge between LLMs and fresh, real-time data sources. Whether it's providing up-to-date stock information for a financial advisory chatbot or tailoring fashion advice based on current weather conditions, LangChain's functionalities are designed to empower applications with contextual awareness and relevant responses.

LangChain explains its unique approach to data retrieval, cleaning, and summarization, along with its seamless integration with LLMs for generating context-rich, human-like responses. The episode also explores how LangChain uses elements like 'Links' and 'Chains' to create efficient workflows, making it a versatile tool for developers. Lama2 and LangChain delve into the endless possibilities that arise when combining the expertise of LLMs with real-time data, opening the doors to smarter, more contextually aware applications.

Tune in to explore how LangChain and LLMs like Llama2 are pushing the boundaries to make chatbots and other applications not just smarter, but incredibly useful.

References:

Introduction to LangChain - Tutorial on GeeksforGeeks.com

Build a chatbot with Llama 2 and LangChain

Calling all Art of Automation fans! Brace yourselves for a special bonus episode with some exciting news.

We're delighted to announce that the Art of Automation podcast is teaming up with the Think Blockchain podcast to create an entirely new show titled "The Art of AI for Business." This podcast is dedicated to exploring the realm of trustworthy AI for businesses.

In this episode, we'll delve into how Automation and AI complement each other perfectly, akin to the delightful pairing of peanut butter and chocolate. Automation serves as the lynchpin in creating a hybrid workforce where humans and AI collaborate, revolutionizing the way we work and enhancing our capabilities.

Far from replacing us, AI augments our efforts, making us "superhumans" with more time to focus on the things we truly love. We'll reveal the vital role that Automation plays, enabling AI to transform data into valuable insights and delivering them seamlessly to users.

Prepare for a captivating journey filled with fun and intriguing conversations. Our digital teammates, Digital Jerry (DJ), and Robo will make appearances, and who knows, they might even take over as guest hosts for a few episodes!

"The Art of AI for Busines"" podcast will feature a stellar lineup of guests from the world of AI for business, sharing their expertise and insights into the transformative power of trustworthy AI.

So, gear up for the beginning of this exciting new podcast! Join us as we embark on an exploration of AI for business with a sprinkle of Automation. Details on how to tune in can be found in the episode description.

Thank you for being part of the Art of Automation podcast. We look forward to welcoming you to "The Art of AI" - your gateway to the future of trustworthy AI in business.

See you there!

* Coverart was created with the assistance of DALL·E 2 by OpenAI.

** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez

Join host Jerry Cuomo where he sits down with George London, the Chief Technology Officer at Upwave. George shares his unique perspective on the evolving role of AI, exploring the classics and spinning the latest hits in the AI rotation. This episode explores the innovative use of predictive and generative AI models at Upwave, a platform dedicated to enhancing the effectiveness of brand advertising. Tune in to hear George share insights from his role as CTO, drawing on his extensive AI experience with music recommendation systems, hedge fund analysis, and economic forecasting. He discusses the impact of AI on consumer behavior and outlines his strategies for mitigating AI hallucinations.

Key Takeaways:

1. George London explores how AI improves advertising by personalizing interactions and enhancing brand effectiveness with predictive and generative models.
2. George's experience music recommendation and hedge fund analysis informs his approach to understanding individual preferences, which is crucial for effective marketing without bias.
3. George addresses the importance of mitigating AI hallucinations to maintain accuracy in AI-generated content, ensuring the reliability of marketing analytics.

References:

• Watch George London discuss the role of AI in advertising in more depth in this informative YouTube video: George London on AI in Advertising.
• Read more about George London's thoughts on embracing AI in media and advertising in this detailed article from Street Fight Magazine: Embracing AI in Media and Advertising.

Host Jerry Cuomo is joined by Matt Beane, a pioneer in the field of future work and skills development. A professor at the University of California at Santa Barbara and affiliated with both Stanford's Digital Economy Lab and MIT's Initiative on Digital Economy, Matt shares insights from his new book, "The Skill Code: How to Save Human Ability in an Age of Intelligent Machines." Listen as Matt discusses the integration of AI into work spaces and its impacts on skill development. He combines a unique blend of real-world experience and academic insight to explain how we can harness AI to enhance human skills rather than replace them. This episode is a must-listen for anyone interested in the evolving relationship between humans and technology in the workplace.

Key Takeaways:

1. AI as a Partner: Matt Beane emphasizes using AI to augment human skills, not replace them, fostering a collaborative rather than competitive relationship.
2. Digital Apprenticeship: Introduces the concept of digital apprenticeship as a method to leverage AI for practical and effective skill development in the workplace.
3. Technology Integration Challenges: Discusses the subtle challenges in integrating technology into work processes, which often benefit experts but could disadvantage novices, highlighting a need for balanced approaches.

Book Order Information:

Beane, Matt. The Skill Code: How to Save Human Ability in an Age of Intelligent Machines.

The book can be purchased on Amazon at this link: The Skill Code on Amazon.

Host Jerry Cuomo explores the innovative technique of Retrieval-Augmented Generation (RAG) with expert guest Dr. Lucia Larise Stavarache. RAG is transforming how AI interacts with data by utilizing existing documents without the need for extensive training cycles. This method proves invaluable for handling sensitive or proprietary information and adapting to rapidly changing data like current events.

Join Jerry and Larise as they discuss the practical applications of RAG in various industries and its impact on AI development. Larise shares her experiences and the advantages of RAG, from simplifying legal documents to engaging with AI in conversations grounded in specific document content. Whether you're a tech enthusiast or an industry professional, this episode offers a unique perspective on the capabilities and future of AI technologies.

Takeaways:

• RAG enables AI to utilize existing documents for learning, bypassing the need or complete training cycles, which is cost-effective and efficient.
• This technology allows for innovative interactions with AI, such as asking documents to summarize themselves or clarify complex information in simpler terms.

References:

• Link to Demo Video
• ChatDoc: Try Chat with Documents for Free