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Joined December 2020
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There are thousands of AI companies out there across countless sectors and industries. There’s no way you can keep up with all of them, so we’ve compiled a list of 25 AI companies we think it’s worth keeping an eye on!
To round out @sprytelabs Spotlight awards, we also compiled a list of the top 25 AI Companies to Watch.
Consider this list of companies as an insight on the primary movers and shakers doing amazing things in AI.
You can see the all the companies making waves in AI here: sprytelabs.com/spotlight/iss…
It doesn’t matter if you’re an AI expert or just remotely interested in the field, you need to know about these companies and what they’re working on!
@ideogram_ai, @xai, @gupshup, @HelloCivitai, @ParallelDots, @Avataar, @SyteAI, @LogicallyAI, @teckroofficial, @swordhq, @insitro, @InSilicoMeds, @exscientiaAI, @perplexity_ai, @langchain, @dynamo_fl, @apherisAI, @JinaAI, @rerundotio, @diffbluehq, @wandb, @heyjasperai, @databricks
Worth checking out…
Last week I shared @sprytelabs list of Trailblazers, and today I want to talk about the Visionaries.
Visionaries are the AI tech leaders that are thinking big picture and solving the problems of tomorrow.
You can see all the Visionaries here: sprytelabs.com/spotlight/iss…
These are leaders we can look to know what to expect from the future of AI!
@marc0_fi0re @saliencelabs @joshuaxu @1vnzh @SahajGarg6 @raphaeljlt @DatavantHQ @bmabey @MathAdapted @XtalPi @Roebot @adriengnt @BarakLenz @swords @ShelfEngine @GalkinMav @Aera_Technology @UnlearnAI @opaquesys @Figure_robot
Interesting for anyone trying to understand the cutting edge of AI
Insightful interview with @ilyasut . He speaks about:
1. Evolution of LLM’s
2. How AI researchers came to the conclusion that compute was essential
3. Why the complex governance structure of OpenAI was required
4. Importance of Transformers
5. Why reliability is the one thing that is holding back AI models
6. Pros and Cons of OpenSource AI
7. Biological vs Digital computes
8. We are yet to solve Autonomy while Reproductive qualities already exists
9. Super-alignment
And, finally why AGI is not as difficult as Quantum Physics for people to solve.
We can help you gain valuable tips and advice from those inside the tech industry, at your convenience. ✅
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Nestria is a network. We curate the resources you need to advance your career, solve problems, learn something new, or get advice about what path might get you to your goals. 👨💻
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Programming requires a good knowledge of the fundamentals of computer science, especially common data structures and algorithms.
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Python is one of the most popular programming languages, and is also the easiest to learn. Integers, Floats, Strings, the None type, Boolean values and Basic operations on the above types are just the beginning.🔢
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Our Data Science Fundamentals Track can help you learn the underpinnings of the data science field. This includes the statistical and mathematical concepts that inform Machine Learning algorithms, and that power the decisions of companies around the globe.
Learn about Nestria’s mentors and their profession before you start your class.
Our mentors specialize in numerous different careers, like software engineer, data scientist, python instructor and more.
Read more here: nestria.org/collections/ment…
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Take a walk, ride a bike, or have a stretch! Whatever you do- take some time away from your computer!
It’s healthy to take a break from your work life.
Nestria has lots of tips and trips. Check them out: nestria.org/
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Have you ever tried any of these games? 💻
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Join our class on preparing data for analysis and ML, which includes a comparison of traditional statistical learning methods. Part 1 is free and will be available after tonight.
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