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Home AI & Finance AI Education AI EDUCATION: What is Generative AI?
 * AI & Finance
 * AI Education


AI EDUCATION: WHAT IS GENERATIVE AI?

By
DWN Staff
-
March 7, 2024
1160
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IN OUR ONGOING SERIES “AI EDUCATION”, WE DELVE INTO VARIOUS TOPICS AROUND
ARTIFICIAL INTELLIGENCE TO HELP OUR READERS BETTER UNDERSTAND THE SECTOR,
BECAUSE IT’S AN ADMITTEDLY COMPLEX ONE. 

In this post, we delve into “generative AI”, a topic that has gotten MASSIVE
press coverage at the onset of 2024, and also look at one of the main drivers of
the media frenzy, chip-maker Nvidia, and their part in this conversation. 
Numerous sources for the content in this post are cited at the end, so you can
do additional research on the topic. Enjoy!  

GENERATIVE AI – A BRIEF OVERVIEW

Generative AI is a type of artificial intelligence technology that broadly
describes machine learning systems capable of generating text, images, code, or
other types of content, often in response to a prompt entered by a user. It uses
a computing process known as deep learning to analyze patterns in large sets of
data and then replicates this to create new data that appears human-generated. 

The origin of Generative AI can be traced back to the mid-1950s when the
concepts of artificial intelligence and machine learning were beginning to take
shape. Early versions of Generative AI were the Hidden Markov Models (HMMs) and
Gaussian Mixture Models (GMMs). These statistical models were designed to
generate new sequences of datasets based on manual input. 

BUSINESS USES OF GENERATIVE AI

Generative AI has uses across a wide range of business practices, including
software development, healthcare, finance, entertainment, customer service,
sales and marketing, art, writing, fashion, and product design. Businesses like
Walmart are already using GenAI to assist customers. Generative AI can create
original content such as text, images, audio, code, and video. In fact, DWN uses
generative AI for images and content, especially for our new brand AI &
Finance.  We like to adjust text & ordering and add in personal elements to make
it feel more “comfortable” for our readers. 

Separately, there are a myriad of uses for generative AI in finance. This is
mainly because the financial sector draws upon enormous amounts of data to
function, and therefore it’s a natural fit to take advantage of Generative AI.
It can add contextual awareness and human-like decision-making to enterprise and
finance workflows, potentially dramatically changing how work is conducted. 

GENERATIVE AI’S RECENT POPULARITY

The popularity of generative AI in the past 12 months is due to a trifecta of
factors, including advances in deep learning such as generative adversarial
networks; much more available data available to train models; and more powerful
graphics processing unit computers that help accelerate the training. Generative
AI exploded onto the scene in late 2022 when OpenAI, a San Francisco-based tech
company, released Dall-E, an image generator, and ChatGPT, an AI chatbot, that
allowed anyone to use them to create art or text.

NVIDIA’S ROLE IN GENERATIVE AI

The recent stock price movement at Nvidia has indeed also influenced the
dialogue around generative AI. Nvidia’s stock has rallied by almost 3.3x over
the past 12 months to about $790 per share, taking Nvidia’s market cap near the
$2 trillion mark. This surge in Nvidia’s stock price is largely attributed to
the company’s significant role in the AI sector, particularly in generative AI. 

Nvidia’s GPUs (graphics processing units), which are crucial for training and
operating AI systems due to their ability to carry out immense data crunching
required for tools like chatbots, have seen a surge in demand. This is
especially true with the rise of generative AI platforms like ChatGPT. The
company’s strong demand for its products is a clear sign that the technology is
thriving, and investors have followed suit. 

The company’s recent earnings also exceeded expectations, with revenues of
$22.1bn against expectations of $20.6bn. Nvidia’s CEO, Jensen Huang, stated that
the demand for generative AI had reached a “tipping point”. This has led to a
positive impact on the company’s earnings results and is expected to have an
even greater impact on results this quarter. 

The stock market’s response to Nvidia’s success indicates the financial sector’s
recognition of the potential of generative AI. The surge in Nvidia’s stock price
and the subsequent dialogue around it underscores the growing importance and
influence of generative AI in the tech industry and beyond. However, it’s
important to note that while the stock price can reflect market sentiment, it
doesn’t necessarily reflect the full potential or limitations of the technology
itself. 

In conclusion, Nvidia’s recent stock price movement has brought generative AI
into sharper focus, highlighting its potential and influencing discussions
around its applications and future developments. However, as with any
technology, the dialogue around generative AI will continue to evolve as the
technology itself progresses.

--------------------------------------------------------------------------------

Written by DWN Staff & CoPilot

--------------------------------------------------------------------------------

Article Sources (links are included so you can do more research on the topic, if
you’d like):

 1.  Generative AI Defined: How It Works, Benefits and Dangers – TechRepublic
 2.  Generative artificial intelligence – Wikipedia
 3.  The history of Generative AI (GenAI) – WeAreBrain
 4.  5 Generative AI Best Practices For Enterprise Businesses
 5.  The Impact of Generative AI in Finance | Deloitte US
 6.  What is generative AI and why is it suddenly everywhere? Here’s how …
 7.  What is generative AI and why is it suddenly everywhere? Here’s how …
 8.  What is generative AI? | Cloudflare
 9.  Explained: Generative AI | MIT News | Massachusetts Institute of Technology
 10. A Brief History of Generative AI – Medium
 11. The History of Generative AI | Evolution & Milestones | Lore.com
 12. Generative AI: How It Works, History, and Pros and Cons – Investopedia
 13. Generative AI: A brief overview of its history and impact
 14. Generative AI: What Is It, Tools, Models, Applications and Use Cases
 15. Seven Keys To Making Generative AI Work For Your Business – Forbes
 16. Generative AI: What it means for the enterprise | Genpact
 17. Understanding the Ethics of Generative AI in Business
 18. Generative AI in Finance | Deloitte US
 19. Generative AI: Transforming The Future Of Finance – Forbes
 20. Generative AI: A Year One Retrospective – Forbes
 21. NVIDIA Corporation (NVDA) Stock Price, Quote & News – Stock Analysis
 22. Why has Nvidia driven stock markets to record highs?
 23. Why Nvidia Stock’s AI Potential Is Not Just Limited … – InvestorPlace
 24. How Nvidia dominated AI — and plans to keep it that way as generative …
 25. Role of NVIDIA GPUs in Advancing Generative AI
 26. Nvidia Posts Q3 Beat Driven By Data Center Revenue, CEO Says Generative …
 27. AMD stock replicates the movement of Nvidia stock before surge
 28. Why Super Micro Computer Stock Is Plummeting Amid Nvidia and SoundHound AI
     Developments Today
 29. Key Market Movement: Nvidia Earnings Stir Market Excitement, Fed Minutes
     Awaited, and HSBC Faces Sharp Decline
 30. NVIDIA Corp (NVDA) Stock Price & News – Google Finance
 31. NVIDIA Corporation (NVDA) Stock Price, News, Quote & History – Yahoo …

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