ArunS

[ArunS @arunsambargi]

@Muninn Hi James, interested can you please dm BF code. Thank you

[ArunS @arunsambargi]

@801010athlete RYAM, DE, FSLY, IPGP

[ArunS @arunsambargi]

@anandragn $NOW

[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.

[Andrej Karpathy @karpathy]

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

[ArunS @arunsambargi]

@anandragn @tradingview MSFT

[Anand @anandragn]

🎁 Thanksgiving Giveaway 🦃

Teamed up with TradingView for another year to give two followers an edge heading into 2026.

Giving away two FREE annual subscriptions (Ultimate & Premium)

How to enter:
• Follow me
• Retweet this post
• Like this post
• Comment your top ticker for 2026

I’ll pick two winners and announce them Thursday morning. Good luck 🙌

[ArunS @arunsambargi]

@venuguntupalli7 UNH?

[ArunS @arunsambargi]

@anandragn Hestiated and took only 25 % exposure. Over to next rally. Thanks for all your posts

[ArunS @arunsambargi]

@ripster47 @TenetCharts PRTH

[ArunS @arunsambargi]

@nickschmidt @Deepvue $ALAB

[Nick Schmidt @NickSchmidt]

I'm giving away a free year of @Deepvue

To enter:

1️⃣ Retweet this tweet
2️⃣ Reply below with a stock you are watching

I’ll choose 2 winners on Friday, Nov 29!

[ArunS @arunsambargi]

@ameetrai @Deepvue #Deepvue

[Ameet Rai @AmeetRai]

Deepvue Black Friday Giveaway #Deepvue

I'm giving away 1 Annual @Deepvue subscription

The winner will be chosen on November 27

To enter:

👍 + 🔁 Like & Share
🚨 Follow @Deepvue
💬 Comment below with #Deepvue

https://t.co/EaeTl6xIRv

[Anand @anandragn]

Ok, that was a teaser, this time it's legit.

It's the holiday season, so it's a gift that keeps giving season.

Thanks @TradingView for partnering with me for a FREE Trading View Premium giveaway.

To qualify,
1. Must follow me
2. Like this post
3. Repost this

I will pick a winner in the next few days who will get a Free Annual Trading View premium subscription. Yes FREE!

Absolutely no promo code is needed for this per usual!

Link: https://t.co/xSfSLIiogK

[Jeff Sun, CFTe @jfsrev]

Thank you for the amazing response to yesterday's post on the '8 Best Free Tradingview Scripts!' They will be giving away **1 FREE Annual Premium Subscription** to one of my followers.

How to Enter:
🔁 Retweet this post
🤝 Follow me and @tradingview

The winner will be announced this Saturday! Good luck!