This piece really made me think! As a software dev, I've seen exactly what you mean by the 'excitement camp' – my personal AI projects feel so much more impactful now. You're realy insightful.
Thanks Vik! I would like to hear (or read/see) more about how people at the forefront of AI-assisted hardware design are training their respective models of choice, and of course which models they use and best practices and pitfalls. And yes, I know if you'll have the answers to all these questions, you could and absolutely should write a book about it 😄!
While I've been looking around for this information, a lot of companies are devising their own in-house AI solutions, which are proprietary and not often shared with the outside world. I agree, this is a very interesting topic in recent times.
Hmmm. not sure who this is for? Seems targeted to System Architects instead of your "run of the mill" (Hah!) Block level architects and RTL Designers that are focused on micro architecture and RTL implementation.
You addressed some of that in your earlier post about Design -> Documentation.
I think there is a lot of AI education centered around prompting and things like that.
I wanted to emphasize that LLMs are a revolutionary technology of our time, and there is plenty of incentive to learn this technology from the ground up rather than just work with the chat box.
This piece really made me think! As a software dev, I've seen exactly what you mean by the 'excitement camp' – my personal AI projects feel so much more impactful now. You're realy insightful.
Thanks, glad you liked the post!
Thanks Vik! I would like to hear (or read/see) more about how people at the forefront of AI-assisted hardware design are training their respective models of choice, and of course which models they use and best practices and pitfalls. And yes, I know if you'll have the answers to all these questions, you could and absolutely should write a book about it 😄!
While I've been looking around for this information, a lot of companies are devising their own in-house AI solutions, which are proprietary and not often shared with the outside world. I agree, this is a very interesting topic in recent times.
Hmmm. not sure who this is for? Seems targeted to System Architects instead of your "run of the mill" (Hah!) Block level architects and RTL Designers that are focused on micro architecture and RTL implementation.
You addressed some of that in your earlier post about Design -> Documentation.
I would think those are easier problems to solve.
I think there is a lot of AI education centered around prompting and things like that.
I wanted to emphasize that LLMs are a revolutionary technology of our time, and there is plenty of incentive to learn this technology from the ground up rather than just work with the chat box.