Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
It's the first time I hear of the second term so I did ask Chat GPT, and here is what I got:
Generative artificial intelligence (AI) involves AI techniques that generate new data or content, potentially used to enhance AI systems in various ways. Examples include generative models like GANs (Generative Adversarial Networks) or language models like GPT (Generative Pre-trained Transformer).
Genetic Algorithm (GA) is an optimization technique used within AI to solve specific problems through simulation of natural selection and genetics. They are used to find solutions to optimization and search problems where traditional methods may be impractical.
This is interesting as I didn't even know the Genetic AI term existed! Saving Changes...
Genetic algorithms are not new at all. They have been around a long time. They are more complicated to use than asking questions and getting text responses so they don't get much attention because most people are never going to learn how they work or how to use them. They can be done without AI, but may be very computationally intensive so AI greatly improves what can be accomplished, like larger computers made structural modeling feasible (which BTW now can use genetic algorithms to find the strongest shape). Saving Changes...
This is a platform for PM not AI. I know, sometimes we discuss about the application/impact of AI in PM, however, your best bet is to ask AI relative question in their respective communities. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
I am in line with Keith Novak . Just to add, between other amaizing things, thanks the power of computation has been increased, genetic algorithms are using to put two or more AI entities to train by themselves without human intervention at all during the training process. Saving Changes...
Marly - I apologise, if this is not the forum for AI .
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1 reply by Sergio Luis Conte
Jul 14, 2024 11:04 AM
Sergio Luis Conte
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You are welcome. Regarding the second part, I will say my personal need then I can justify it. To learn and improve myself I am active in two sites: linkedin and this site. So, please, you and everyone post here all your comments, doubts, concerns, etc because it will help me to learn from that, post my replays just in case I can do that with arguments that can be debated, and from that I will learn and improve. AND PLEASE DO NOT WORRY ABOUT THE PLACE WHERE YOU DO THAT (Sorry for the capital letter. Just I like to empathize). So, again, thanks a lot.
Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Jul 14, 2024 8:52 AM
Replying to Prasanth Parameswaran
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Thank You for sharing your thoughts Sergio Luis.
Marly - I apologise, if this is not the forum for AI .
You are welcome. Regarding the second part, I will say my personal need then I can justify it. To learn and improve myself I am active in two sites: linkedin and this site. So, please, you and everyone post here all your comments, doubts, concerns, etc because it will help me to learn from that, post my replays just in case I can do that with arguments that can be debated, and from that I will learn and improve. AND PLEASE DO NOT WORRY ABOUT THE PLACE WHERE YOU DO THAT (Sorry for the capital letter. Just I like to empathize). So, again, thanks a lot. Saving Changes...
I'm sure Prasanth didn't expect controversy. The question is actually very relevant to project management at the more bleeding edge level of research. When studying computer modeling techniques for engineering systems, I found many whitepapers on using genetic algorithms to optimize organizations. It is a considerable field of study.
To address the original question, a GA is an optimization technique. A solution (product, organization, etc.) can be modeled as a set of attributes like genes defining an organism. Many possible solutions can be evaluated using a fitness function, which ranks the individual solutions for the best ones to populate the next generation. (survival of the fittest)
Best solutions in the new generation mutated to see if it makes them better or worse. They are evaluated and then the process repeats until the solution reaches an endpoint, such as improvement tapers off. AI can help with developing the genome, creating the populations, defining the fitness function, and the selection process.
It's very powerful, but also potentially dangerous. One team asked what would happen if they changed the function to instead pick solutions with the worst outcome. In the morning they found they had 20k extremely toxic chemicals not previously invented. Saving Changes...
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