So we are very close to completing the program.
And once you finish the program and start working as an artificial intelligence engineer or LM application
developer or engineer, you will see that one of the challenges you are going to find is how to keep
up to date with your industry, with all the news, all the a different matters, all the different
courses, all the different frameworks that appear every month in our industry.
In at the end of the year 2023, in the International Congress of Artificial Intelligence, engineers
celebrated in San Francisco, which was the first one, uh, uh, in the world, uh, there was a survey
around among the artificial intelligence engineer, and one of the question was, uh, about the top
information channels they, uh, use.
So we have included in the attached materials, uh, the list of the top newsletters, the top podcasts,
and the top communities, uh, for artificial intelligence engineers, in some cases, we personally
agree with the most popular ones, and in some others we don't.
So we will give you our opinion regarding the top newsletters, the most popular newsletters for artificial
intelligence engineers right now, and you will have the URL, the links to to all these newsletters
in the attached, uh, materials.
Right now the top newsletters are import AI.
Our chief.
Round up the batch.
Artificial intelligence.
Alpha signal ahead of AI.
Ben's bites.
Deepgram data.
Macchina and the sequence.
In our own experience, we would recommend the third one, the batch, which is, uh, from a very,
very, uh, uh, from people with high reputation.
So these are very good one.
In the podcast list, we have a latent space as the most popular one.
Latent space is the podcast, uh, from the organizers of the AI engineers uh, summit.
So this is the the team that has organized the first, uh, AI engineers encounter or summit or Congress
worldwide in San Francisco.
And their podcast is a super detailed podcast.
Very, uh, very interesting to follow.
Then you have gradient descent, the cognitive revolution, the gradient this week in machine learning,
machine learning, straight talk, wavy wavy, eight podcasts, Robot Brains, No Priors, and practical
AI.
In our own experience, we would recommend from this list.
Apart from the first one, the Latent Space, we would recommend the web eight podcast that includes
interesting interviews, uh, with technical people and also no priors.
No priors is more focused on startups.
It is a it is managed by a venture capital firm in Silicon Valley.
And the interviews there are more focused on, uh, on, you know, new companies, investment trends,
etc. but it's a very interesting podcast.
And finally, a around the, uh, top communities.
We find some of them that are in the LM application space and some others that are not that are more,
uh, general or widely oriented.
For example, the top community in the list, as you will see, is Hacker News, which is part of the
Y Combinator incubator.
Then we have OpenAI.
Luncheon a in both cases, the discord channel.
How?
Hugging face.
Excuse me.
Read it.
Achaleke.
Capacity score, Luther, the score, and some other Reddit communities.
My personal takes.
You will have all the links in the attached materials.
My personal opinion regarding these communities is that the discord channels of long chain Llama index,
even Llama Index, discord channel is not here in the top communities, but I would recommend it.
Long chain.
Discord channel.
Llama index.
Discord channel OpenAI discord channel.
And also a in the hugging face community.
You may find a tons of interesting information as well.
The last comment I would make regarding sources of information and information channels would be that
a Twitter is right now, in my opinion, the main information channel for this community, which as
you know, is so young.
Uh, so if you go to Twitter and you follow, you know, the top, the top leaders in the space, uh,
you will you will be very well informed because on a daily basis, you will see a lot of new, uh,
new things, new comments, new frameworks, new tools, new new programs, etc. we ourselves try to,
uh, provide our own information channels.
We have a blog in AI accelerator.
We have a Twitter channel.
We are also active in different platforms like Twitter.
But these are the top information channels for, uh, artificial intelligence engineer.
And in the, uh, next, uh.
Listen, we are going to say the last words of the program.