Saurabh Tiwari @ronin_codex
I'm So Meta, Even This Acronym kantsvalley.edu.in New Delhi, India Joined June 2019-
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Today I learned that Pinterest sends out interview preparation advice to engineers interviewing with them. One of the resources they recommend is this one I wrote, about preparing for the systems design and coding interviews: blog.pragmaticengineer.com/preparing-for-…
Stanford’s CS336 "Language Modeling from Scratch" is available for free on YouTube. Instead of wasting time on background, it goes straight into practical topics you rarely see explained elsewhere — PyTorch, MoE, Triton, parallelism, eval, scaling laws, alignment, and more.
📚 A Complete Guide to Standard C++ Algorithms by Šimon Tóth github.com/HappyCerberus/…
a senior engineer at google just dropped a 400-page free book on docs for review: agentic design patterns. the table of contents looks like everything you need to know about agents + code: > advanced prompt techniques > multi-agent patterns > tool use and MCP > you name it
Learning compilers? Check "A Compiler Writing Journey". github.com/DoctorWkt/acwj Building a compiler from the ground up, documented with each step in detail.
Way too many people think that AlphaFold "solved" ML for proteins. It didn't. It did revolutionize protein structure prediction, but that’s just one part of a much bigger puzzle. This is Part 1 of a series on what AlphaFold did (and didn’t) solve—and what comes next. ⬇️
More on collective behavior: Our new Annual Review of Biophysics piece - with the stellar Danielle Chase - explores how animals sense, share information, and make group decisions. In honeybees and beyond 🐝 annualreviews.org/content/journa…
New fastest shortest-path algorithm in 41 years! Tsinghua researchers broke Dijkstra’s 1984 “sorting barrier,” achieving O(m log^(2/3) n) time. This means faster route planning, less traffic, cheaper deliveries, and more efficient networks - and a CS curriculum revamp =)
How to 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 Your LLM — with Semantic Graphs — No RAG. I found this Unconventional 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗚𝗿𝗮𝗽𝗵𝘀 approach inside PromptQL’s 8-step blueprint ⬇️ In short, they rebuilt the LLM stack with: → Planning → Execution → Explanation → Powered by…
The paper, "C++ Design Patterns for Low-Latency Applications, Including High-Frequency Trading," is an excellent read for those interested in performance engineering. arxiv.org/pdf/2309.04259
The paper, "C++ Design Patterns for Low-Latency Applications, Including High-Frequency Trading," is an excellent read for those interested in performance engineering. arxiv.org/pdf/2309.04259 https://t.co/zTMOBtxIuc
Research v0.85 is out with new tabs 🗂️
📢 Can LLMs really reason outside the box in math? Or are they just remixing familiar strategies? Remember DeepSeek R1, o1 have impressed us on Olympiad-level math but also they were failing at simple arithmetic 😬 We built a benchmark to find out → OMEGA Ω 📐 💥 We found…
🚀📢 GPT models have blown our minds with their astonishing capabilities. But, do they truly acquire the ability to perform reasoning tasks that humans find easy to execute? NO⛔️ We investigate the limits of Transformers *empirically* and *theoretically* on compositional tasks🔥
🧵 1/8 The Illusion of Thinking: Are reasoning models like o1/o3, DeepSeek-R1, and Claude 3.7 Sonnet really "thinking"? 🤔 Or are they just throwing more compute towards pattern matching? The new Large Reasoning Models (LRMs) show promising gains on math and coding benchmarks,…
Fine-tune 100+ LLMs directly from a UI! LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code. Supports 100+ models, multimodal fine-tuning, PPO, DPO, experiment tracking, and much more! 100% open-source with 50k stars!
LLMs are a type of AI model, but not all AI models are LLMs. Here are eight cutting-edge architectures that extend traditional AI, enhancing understanding, reasoning, and generation across domains and modalities.
LLMs Get Lost in Multi-turn Conversation The cat is out of the bag. Pay attention, devs. This is one of the most common issues when building with LLMs today. Glad there is now paper to share insights. Here are my notes:
MIT just released a lecture on LLM post-training covering: - Data set generation for fine-tuning - Training algorithms (SFT, DPO, PPO) - Model evaluation strategies - Model merging techniques - Test time compute scaling Essential knowledge for anyone working with fine-tuning…
Top 10 YouTube channels to learn AI from scratch: 1) Andrej Karpathy – Deep yet accessible lectures on deep learning, LLMs, and an intro course on neural networks. lnkd.in/dVA5bGyZ 2) 3Blue1Brown – Stunning visualizations that make abstract mathematical concepts…
I did not realized that “Learning Theory from First Principles” has been published. It is still freely available. I really like this book, for its choice of topics. It covers everything that matters.

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Machine Learning Stre... @MLStreetTalk
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Consciousness - tlab @conscious_tlab
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Jean de Nyandwi @Jeande_d
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Jawaharlal Nehru Univ... @JNU_official_50
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Python Software Found... @ThePSF
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PyTorch @PyTorch
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NeurIPS Conference @NeurIPSConf
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Stanford NLP Group @stanfordnlp
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Petar Veličković @PetarV_93
41K Followers 555 Following Senior Staff Research Scientist @GoogleDeepMind | Affiliated Lecturer @Cambridge_Uni | Assoc @clarehall_cam | GDL Scholar @ELLISforEurope. Monoids. 🇷🇸🇲🇪🇧🇦
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ICLR 2026 @iclr_conf
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Probability and Stati... @probnstat
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MIT EECS @MITEECS
28K Followers 308 Following MIT Department of Electrical Engineering and Computer Science — we build the future.