Top 50 Generative AI experts to follow
In a previous newsletter, I shared that I am compiling a list of generative AI experts to follow
Here is an update on the approach and how you can stay updated as I share it starting this week
The question was originally asked by one of my students
It's actually not easy to compile such a list
The first challenge is to define the (rapidly changing) world of Gen AI
Here are the references I used
They are useful in themselves
This diagram is a classic
It defines the various ways the industry is aligning. Eduardo keeps it updated :)?
I have mentioned Aishwarya's work a number of times. This diagram presents a good view of the world of LLM in terms of tools and frameworks?
I reached out to Tingyi and invited her to present at Oxford based on this diagram. Its a very good representation of the Gen AI ecosystem. Although AWS specific you can work out the components in general
I have followed this stack from the earliest days of chatGPT. Now in its fifth version, this is another good depiction of how LLM components fit together
领英推荐
finally
5) 50 most visited AI tools in the last 12 months - depicts what people are actually using at an application level
So , the next task is to then work out the people to follow in these segments. Welcome thoughts if I have missed any elements in the big picture.?
This is a complex task but I hope to send the first set of leaders by this weekend?
To sign up to receive the Top 50 generative AI thought leaders list please register here?
Notes
1) This list is not a ranking
2) I will simply find the best people in my experience across these sectors (which in my view, comprise the holistic Gen AI space).
3) The emphasis is not on title but on consistent original contribution which benefits the community and from whom you can learn.
4) This may end up 'long tail' i.e. a large number of experts in niches. In that sense, top 50 is arbitrary - could be more :)
5) In any case, you should benefit from following them
About me
You can meet me at the The Oxford AI summit.
If you are a non developer and want to learn AI see: ?low code AI course at the university of oxford - open to non developers?
To learn about AI and digital twins see: digital twins for AI course
Image source: https://writerbuddy.ai/blog/ai-industry-analysis
Al Technology - Delivery & Support Engineer @ Sahana System Limited || Advisory Board Member IEEE SOU SB || Data Analytics || Computer Vision || Natural Language Processing || Reinforcement Learning
7 个月This is a cool way to put together a Gen AI guru list, Ajit! Love that you're focusing on folks who consistently bring fresh ideas to the table, titles don't matter as much. Speaking of resources, check these out: 1. Papers with Code - Gen AI: Tons of recent research papers on all sorts of Gen AI subfields. (https://paperswithcode.com/paper/generative-ai) 2. The AI Today Podcast: Andrew Ng interviews some big names in AI, including Gen AI folks. (https://lexfridman.com/podcast/) 3. Gen AI Conferences (NeurIPS, ICLR, AAAI): Great way to discover new research and chat with the experts themselves.
?? Generative AI Lead @ AWS ?? (100k+) | Startup Advisor | Public Speaker | AI Outsider
1 年Thanks for the mention dude ??
Research and research systems for marketing and strategy in green tech and sustainability.
1 年Looking forward to reading this!