Rhydian

Engineer | Scito te Ipsum

[Rhydian @OlasupoToby]

@TopBoyRayy @inDrive Lmao 😂😂

[Kirk Borne @KirkDBorne]

The Mathematics of Large Language Models — A Readable Guide to LLMs, Transformers, Diffusion, Neural Networks, and Generative AI: https://t.co/3sDIaIroX8

[Rhydian @OlasupoToby]

@Nairametrics Whoa! 3.7x oversubscription .

[ᴊ☾ @__jayjay_13]

@WinnaFC THE REAL CLIP 😌

[Rhydian @OlasupoToby]

@unicodeveloper We pin!! 📌

[Rhydian @OlasupoToby]

@unicodeveloper Same here!!

Can't believe I slept off 😭

[Rhydian @OlasupoToby]

@precillieo Congratulations 🎉🎆

[Rhydian @OlasupoToby]

@OladejiTosin15 @Rufyb Congratulations Michael 🎇

[Rhydian @OlasupoToby]

@muyiwaking @SirJarus Very basic mhen

[Rhydian @OlasupoToby]

Since you said " sell it, roll it", that means you make your plays with American options coz you'd have to hold till maturity if you were doing this with European options.

[Robert Lewandowski @lewy_official]

After four years full of challenges and hard work, it's time to move on.

I leave with the feeling that the mission is complete. 4 seasons, 3 championships.

I will never forget the love I received from the fans from my very first days.
Catalonia is my place on earth.

Thank you to everyone I met along the way during these beautiful four years.
A special thank you to President Laporta for giving me the chance to live the most incredible chapter of my career.

Barça is back where it belongs.
Visca el Barça. Visca Catalunya 💙❤️

@fcbarcelona

[Oreoluwa Bukola, CFA. @BukkyOA]

Unbelievable amount of work.

That’s what’s required to change your life.

Unbelievable.

[Valeriy M., PhD, MBA, CQF @predict_addict]

A math degree is 1000x time more useful than a computer science degree. My repo got it covered.

https://t.co/bESD0yEWUu

#math

[Rhydian @OlasupoToby]

@alase_ayorinde Congratulations 🎉

[Rhydian @OlasupoToby]

@alase_ayorinde Congratulations man!!

[Rhydian @OlasupoToby]

@Zeeskylaw 😂😂 yeah. Got ya!

[Rhydian @OlasupoToby]

@WaleAkinfaderin Yes please

[Justin Skycak @justinskycak]

When you "hit a wall" in something you are trying to learn, it's typically just a massive debt of unlearned prerequisites that are finally being called due.

[Rhydian @OlasupoToby]

@karpathy How does this compare with a RL algorithm with a high epsilon greedy value and optimising the policy?

The concept seems kinda the same, am I right?