Digambar
@digambarcodes
18. antisocial tragedy in human form. learning ai/ml
I attended my first Solana Devs event hosted by @heyayushh in Bhubaneswar on 22 March. It was a great experience and a nice event and also had a hands-on workshop with a Solana program written in Rust using the Anchor framework. Forever grateful for this opportunity! @SuperteamIN
As a data scientist, never count Software Engineering out of your domain. Get very very comfortable with - 1. Docker 2. Redis 3. Postgres 4. Qdrant 5. Git / Github / GitHub Actions No matter what part of AI you work in, these will always go a very long way. A good setup will…
A lot of people ask me how do I read research papers. Tbh not every time I dig deep into it, most of the times, I use give it a surface level read, if I find it interesting then I go onto read the whole paper ( Yes I use AI tools too cuz why not ) and I do it because you would…
World Championships Won Before 30 Ethan: 2 Lebron: 2 But Ethan is 15 years younger than Lebron Ethan > Lebron?
championship rings won before turning age 30 Faker: 6 Gretzky: 4 MJ: 3 Brady: 3 Mahomes: 3 Lebron: 2 case closed
Mistral is way too underrated
I watched this video so you dont have to , here are the major takeaways : • Specialize early: master one domain (frontend, ML, DevOps, etc.) instead of dabbling in everything. • Build real projects: skip tutorial hell; create things that challenge and excite you. • Practice…
i dont post much journey related stuff but if you are starting off in the llm domain and wanna catchup with the research, try to abide by this rule (given you have a good understanding of the deep learning basics): 1. although most people just emphasize on starting off with…
November again and I've got fever and cold already. Hopefully i recover before my midsem exams
youtube has full CS degrees. arxiv has entire frontier research. reddit has every niche. twitter has best network. there’s enough knowledge and resources available on the internet today to feed every bit of your curiosity.
We’ve all heard that ChatGPT was trained on 1.7 trillion parameters, but what does that even mean? Let me explain it to you in a very easy way. Think about making coffee. The ingredients you use, like milk, coffee powder, and sugar, are like the dimensions or features of the…
Line chart showing views from lec 1 to 20 of this course.
crazy that it just takes 27 hours to learn machine learning from the Andrew NG’s Stanford course that students pay tens of thousands of dollars for. thank you internet.
do research. learn ML. build agents. make agents learn. write gpu kernels. break things. burn those gpu credits. this is the way.
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