Seah

cs '26 | game/web dev | I LOVE MONKEYTYPE | ❄️padoru🎄

[Seah @SeahBT]

@kenarihq Hi, will you add MiMo-V2.6 to kenari?

[Seah @SeahBT]

@MrBeast 8764443

[Seah @SeahBT]

@MoSyed110 You suck fella

[Seah @SeahBT]

#WanAVideo #GenAIVideoFest @codepolitan @alibaba_cloud

[ℏεsam @Hesamation]

investing enough time to learn math in the earliest age possible will give you insane ROI. first step of learning AI isn’t reading “attention is all you need.

it’s MATH.

[Tech with Mak @techNmak]

Most people will waste this weekend.
Don’t be one of them.

Stanford's Autumn 2025 Transformers & LLMs course. 9 lectures. Free.

While others scroll, you could understand how Flash Attention achieves 3x speedup, how LoRA cuts fine-tuning costs by 90%, and how MoE makes models efficient.

➕ What's covered:

➡️ Lecture 1: Transformer Fundamentals
→ Tokenization and word representation
→ Self-attention mechanism explained
→ Complete transformer architecture
→ Detailed implementation example

➡️ Lecture 2: Advanced Transformer Techniques
→ Position embeddings (RoPE, ALiBi, T5 bias)
→ Layer normalization and sparse attention
→ BERT deep dive and finetuning
→ Extensions of BERT

➡️ Lecture 3: LLMs & Inference Optimization
→ Mixture of Experts (MoE) explained
→ Decoding strategies (greedy, beam search, sampling) → Prompting and in-context learning
→ Chain-of-thought reasoning
→ Inference optimizations (KV cache, PagedAttention)

➡️ Lecture 4: LLM Training & Fine-tuning
→ Pretraining and scaling laws (Chinchilla law)
→ Training optimizations (ZeRO, model parallelism)
→ Flash Attention for 3x speedup
→ Quantization and mixed precision
→ Parameter-efficient finetuning (LoRA, QLoRA)

➡️ Lecture 5: LLM Tuning
→ Preference tuning
→ RLHF overview
→ Reward modeling
→ RL approaches (PPO and variants)
→ DPO

➡️ Lecture 6: LLM Reasoning
→ Reasoning models
→ RL for reasoning
→ GRPO
→ Scaling

➡️ Lecture 7: Agentic LLMs
→ Retrieval-augmented generation
→ Advanced RAG techniques
→ Function calling
→ Agents
→ ReAct framework

➡️ Lecture 8: LLM Evaluation
→ LLM-as-a-judge overview
→Best practices and benefits
→Biases and pitfalls

➡️ Lecture 9: Recap & Trending topics

From Stanford Online:
Rigorous instruction. Latest techniques. Free access.

Perfect for:
→ ML engineers building with LLMs
→ AI engineers understanding transformers
→ Researchers working on language models
→ Anyone learning beyond API calls

This weekend: learn the techniques that separate good engineers from great ones.

(I will put the playlist in the comments.)

♻️ Repost to save someone $$$ and a lot of confusion. ✔️ Follow @techNmak for more AI/ML insights.

[Chester @chesterzelaya]

i’ve never been more inspired to become a better SWE

i spend about ~45 mins a day coding with zero AI tools, learning documentation, browsing libraries

benefits:
> time to execution dropped by half, i have a sharper sense of what needs to get done, how it will look, and therefore get it done faster

> less time debugging, AI’s make more mistakes than you realize if you don’t know what it’s actually writing. i stopped treating it like a black box

> culturally inspired to contribute back to OSS. the amount of public libraries that hold up our world is fucking insane. contributions actually make the world a better place. still finding the repo that i feel alignment with

i “learned” to code in college about ~3 years ago, and until NOW do i feel like i’m actually getting started

[ℏεsam @Hesamation]

if you want to learn LLMs better than anyone else, implement them in C and watch this video before you do.

[vixhaℓ @TheVixhal]

https://t.co/7BdtGHXTdF

[abhinav @AbhinavXJ]

(2/n)
Projects I built:-

- WorkQueue
https://t.co/RvXvdtOpUJ

- DisasterNet
https://t.co/JZ9GOxTvcM

- ClipX
https://t.co/xl4qEFYRCL

- Noginx
https://t.co/YzgkmKY0bH

[Seah @SeahBT]

how can u hate hina

[cts🌸 @gf_256]

In 2020, I solved a gnarly reverse engineering challenge in PlaidCTF. Only 9 teams solved.

It's a huge pile of Typescript. Everything is named after a fish.

The catch? There's no code, only types. How do they perform computation using just the type system?

(Spoiler: Circuits!)

[Wid | AI for Absurdism @widnyana_]

Konten asbun rame part sekian.

Ini mah diketawain sama yg pernah setup CDN kere hore pakai nginx.

[Seah @SeahBT]

i am in love with low level stuff

[Seah @SeahBT]

i wuv my internship..

[Seah @SeahBT]

@elissafied so gonna steal this..

[Seah @SeahBT]

@vianneynara @FeHa @musuhphp Oh ok, makasih insightnya bang

[Seah @SeahBT]

@FeHa @musuhphp Permisi, saya besok akan magang sebagai IT auditor di salah satu KAP besar, kira-kira itu bisa dibilang cybersecurity ga ya? Job desc-nya kurang lengkap, tapi termasuk dalam departemen ITGC ktny

Kebetulan sukanya development (kuliah teknik informatika), tapi juga suka iseng CTF

[Seah @SeahBT]

making a chrome extension for manhwa reading~