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Day 47 of ML grind Total Time: 7 hours (ml engineering) > command pattern, factory pattern and strategy pattern with examples notes on my repo. > corey scafer asyncio full tutorial. > real life usecases for asyncio on my repo.
Day 47 of ML grind Total Time: 7 hours (ml engineering) > command pattern, factory pattern and strategy pattern with examples notes on my repo. > corey scafer asyncio full tutorial. > real life usecases for asyncio on my repo. https://t.co/uI9ANjSkHX
Day 46 of ML grind Total Time: 7 hours (ml engineering) > going indepth into design patterns > adapter pattern, bridge pattern and builder pattern with examples notes on my repo. > reading codebase of the "requests" library.
Day 46 of ML grind Total Time: 7 hours (ml engineering) > going indepth into design patterns > adapter pattern, bridge pattern and builder pattern with examples notes on my repo. > reading codebase of the "requests" library. https://t.co/rgo9mLHVhy
I realized I was trying to do too many things at once. I'm now going to solely focus on two things - 1. Read large "pythonic" repos and build a mental model to write beautiful scalable code. 2. Understanding and learning math in a deeper level.
Day 45 of ML grind Total Time: 5 hours (ai alignment and math) > joe blitztein course lecture 3. > solving birthday problem paradox. > went through neel nandas latest mech interp guide. > activation patching on gpt-2.
Day 45 of ML grind Total Time: 5 hours (ai alignment and math) > joe blitztein course lecture 3. > solving birthday problem paradox. > went through neel nandas latest mech interp guide. > activation patching on gpt-2. https://t.co/1ZZiUvWbWT
Day 44 of ML grind Total Time: 4 hours (ai alignment and probability) > arena alignment course. > joe blitztein course lecture 2 axioms of probability. > deriving formulas for combinatorics and permutations . > first day at new job!
Day 44 of ML grind Total Time: 4 hours (ai alignment and probability) > arena alignment course. > joe blitztein course lecture 2 axioms of probability. > deriving formulas for combinatorics and permutations . > first day at new job! https://t.co/PH26peMjUf
career update: i'm joining Pi School full time! I'll be working on EVE, a European Space Agency - ESA financed project. The goal is to develop and deploy an open-source LLM, fine-tuned specifically for Earth Observation and Earth Science domain.
Day 43 of ML grind Total Time: 4 hours (ai alignment and probability) > arena alignment course. > bayesian networks and inference. > starting joe blitztein course.
Day 43 of ML grind Total Time: 4 hours (ai alignment and probability) > arena alignment course. > bayesian networks and inference. > starting joe blitztein course. https://t.co/nC2C2BjWuh
Day 42 of ML grind Total Time: 6 hours (ai alignment and math) > callum mcdouggal alignment course. > zeros of polynomials. > division algorithm for polynomials. > factorization of polynomials by c.
Day 42 of ML grind Total Time: 6 hours (ai alignment and math) > callum mcdouggal alignment course. > zeros of polynomials. > division algorithm for polynomials. > factorization of polynomials by c. https://t.co/5tpC2yoguK
Day 41 of ML grind Total Time: 5 hours (ai alignment and math) > deriving mean and variance of continuous probaility distribution. > normal approximation to binomial distribution. > callum mcdouggal alignment course.
Day 41 of ML grind Total Time: 5 hours (ai alignment and math) > deriving mean and variance of continuous probaility distribution. > normal approximation to binomial distribution. > callum mcdouggal alignment course. https://t.co/rlsVb7tkta
Day 40 of ML grind Total Time: 7 hours (ai alignment and math) > joint probability. > marginalization. > multinomial probability distribution. > continuous uniform distribution. > callum mcdouggal alignment course.
Day 40 of ML grind Total Time: 7 hours (ai alignment and math) > joint probability. > marginalization. > multinomial probability distribution. > continuous uniform distribution. > callum mcdouggal alignment course. https://t.co/mjgF8o612M
Day 39 of ML grind Total Time: 5 hours (ai alignment and math) > solved some stats problems. > implemented transformer lens style gpt-2. > deep dive into einops. > ai arena alignment course.
Day 39 of ML grind Total Time: 5 hours (ai alignment and math) > solved some stats problems. > implemented transformer lens style gpt-2. > deep dive into einops. > ai arena alignment course. https://t.co/LKP8OKGYnJ
Day 38 of ML grind Total Time: 5 hours (ai alignment and math) > solved some stats problems. > properties of joint distributions. > privileged basis and superposition. > ai arena alignment course.
Day 38 of ML grind Total Time: 5 hours (ai alignment and math) > solved some stats problems. > properties of joint distributions. > privileged basis and superposition. > ai arena alignment course. https://t.co/Tp0TbF8I09
Day 37 of ML grind Total Time: 6 hours (ai alignment and math) > 3b1b three dimensional linear transformation. > orthogonal vectors and subspaces. > superposition and sparse auto encoders.
Day 37 of ML grind Total Time: 6 hours (ai alignment and math) > 3b1b three dimensional linear transformation. > orthogonal vectors and subspaces. > superposition and sparse auto encoders. https://t.co/C4DnXemVBr
Day 36 of ML grind Total Time: 6 hours (ai alignment and math) > sampling distributions. > inferring population mean. > central limit theorem. > implementing attention layer from first principles for mechanistic interpretability.
Day 36 of ML grind Total Time: 6 hours (ai alignment and math) > sampling distributions. > inferring population mean. > central limit theorem. > implementing attention layer from first principles for mechanistic interpretability. https://t.co/hO9nm7WCpE
Day 35 of ML grind Total Time: 4.5 hours (ai alignment and math) > geometric random variables. > poisson distribution. > implementing transformer from first principles for mechanistic interpretability. > implemented embedding and layer norms.
Day 35 of ML grind Total Time: 4.5 hours (ai alignment and math) > geometric random variables. > poisson distribution. > implementing transformer from first principles for mechanistic interpretability. > implemented embedding and layer norms. https://t.co/Ty1kLuejsY
Day 34 of ML grind Total Time: 4 hours (ai alignment and math) > direct logit attribution for interpreting transformer layers. > derive mean and variance for bernoulli distribution. > derive mean and variance for binomial distribution.
Day 34 of ML grind Total Time: 4 hours (ai alignment and math) > direct logit attribution for interpreting transformer layers. > derive mean and variance for bernoulli distribution. > derive mean and variance for binomial distribution. https://t.co/wijxZfmtFI
Day 33 of ML grind Total Time: 4 hours (ai alignment and math) > building hooks into llm for editing activations. > binomial variables. > 10% rule of assuming independence. > derive binomial coefficient.
Day 33 of ML grind Total Time: 4 hours (ai alignment and math) > building hooks into llm for editing activations. > binomial variables. > 10% rule of assuming independence. > derive binomial coefficient. https://t.co/FrHizj9nku
Day 32 of ML grind Total Time: 4 hours (ai alignment and math) > 3b1b linear algebra intuition for matrix mul as a composition of linear maps. > modelling zero layer transformers. > writing custom patterns for induction head in llm.
Day 32 of ML grind Total Time: 4 hours (ai alignment and math) > 3b1b linear algebra intuition for matrix mul as a composition of linear maps. > modelling zero layer transformers. > writing custom patterns for induction head in llm. https://t.co/MKXqWLrxZc
Day 31 of ML grind Total Time: 6 hours (ai alignment and math) > multinomial and poisson distribution. > working with transformer lens for induction heads in qwen3. > ai arena course for ai alignment.
Day 31 of ML grind Total Time: 6 hours (ai alignment and math) > multinomial and poisson distribution. > working with transformer lens for induction heads in qwen3. > ai arena course for ai alignment. https://t.co/OmFz1O0ROG
Day 30 of ML grind Total Time: 6 hours (ai alignment and math) > low rank matrices, orthogonal subspaces and bilinear form. > induction heads and circuits for mech interp finally sinking in after hours on it. > binomial distribution.
Day 30 of ML grind Total Time: 6 hours (ai alignment and math) > low rank matrices, orthogonal subspaces and bilinear form. > induction heads and circuits for mech interp finally sinking in after hours on it. > binomial distribution. https://t.co/pG0ywRXUvU
rw3h4.R 🇺🇬 @t_black_handler
67 Followers 155 Following "Fearlessly I aspire to the dreams of my youth"
Carlo_0001 @carlo_101010_
72 Followers 5K Following
max @Favour_cs
50 Followers 167 Following
Benstoke(Parody) @realbenstoke
3 Followers 57 Following
Jbkr @SrMachado404
209 Followers 697 Following Back-end Developer | Cybersec student 🧑💻 |Ai/ML enthusiast 🤖 | As estrelas vão me aplaudir de pé.
Tushar @Icarus07_
204 Followers 221 Following MERN. DSA 3 ★ on @codechef (1638 max), learning AI ML... on the #theGreatLockIN challenge till the end of the year, let's connect!
Chirra Nikhileswar Re... @ChirraNikhiles1
112 Followers 5K Following
Patrick P @FatPatWillBThin
60 Followers 992 Following Pat is fat. Pat no longer wants to be fat. Pat will not be fat for long.
🕊️مَيَّاد... @MayadaAbde66387
3 Followers 30 Following
raj @iamRaj2005
219 Followers 1K Following
Sharath S Hebbar (ಶ... @SharathSHebbar1
12 Followers 192 Following Machine Learning Engineer | Data Scientist
Akorede @Fronzzy07
3 Followers 60 Following
Catherine @catherine86bail
274 Followers 3K Following
Parbat Singh👨�... @Parbat_2003
46 Followers 484 Following Web Development | Deep Learning | Talks about tech, human behavior, life🤯 and personal experiences
Meera Nabil @MeeraNabil
368 Followers 2K Following أنا العاشق الأبديّ السجين البديهيّ رائحة الأرض توقظني في الصباح المبكر...💔🇵🇸
Shivang @shiryutwts
1K Followers 274 Following “The difference between ordinary and extraordinary is that little extra.” — Jimmy Johnson
rickkStuff @rickkslabs
7 Followers 200 Following
Oluwakayomide @0luwakayomide
244 Followers 228 Following ML enthusiast || Electrical Engineering student
Hiteshwardev Thakur @hiteshwardev
2K Followers 95 Following Physics Major | Artificial Intelligence & Machine Learning | Quantum Computing | Computational Sciences | Medium: https://t.co/EvRqHfQ110
Tueban 🏳️ @Kokumo_tsu
154 Followers 1K Following
Ganesh Deshmukh @GaneshExe
43 Followers 2 Following
Jaswanth Uppuluri @Uppuluri09
1 Followers 64 Following
Njindangam Nester @Njindangam20
0 Followers 12 Following Always wanting to learn more and trying out new stuff
Vivek Silimkhan @VivekS100
123 Followers 534 Following Senior Software Engineer (ML) and Cohere Labs Community Lead
Sigma boi @waittt4itt
1 Followers 81 Following
frontman @frontman_hide
5 Followers 87 Following 23 i gave this acc to this mf yapper he hasn't even opened it yet
Hamza Zaman @Hamza_Zaman_
195 Followers 4K Following MSc Data Science | ML | NLP | LLM | Python | 3+ years of experience in making data-informed decisions | #OpenToWork
Dhruv Mittal @its_dhruv_here_
67 Followers 0 Following Computer Engineering || just another dev in progress || @perplexity_ai Campus Parter https://t.co/oTNBqZ7naB
Helio Jimenez @Helija92
115 Followers 2K Following
GK @gkisatechie
1 Followers 85 Following
Hùng Phan @hungquangphan
100 Followers 1K Following Founding Engineer at Convergent AI. building by day, learning by night, gaming by chance
Ravi.base.eth(Ø,G) @RaviShanka5139
2K Followers 769 Following Smart Contract Security Researcher | Ex Blockchain Dev intern- @5ireChain | AMBASSADOR @GR1Dnetwork @BSquaredNetwork @bion_app | @CoinDCX MAXI
Patrick P @FatPatWillBThin
60 Followers 992 Following Pat is fat. Pat no longer wants to be fat. Pat will not be fat for long.
raj @iamRaj2005
219 Followers 1K Following
Shivang @shiryutwts
1K Followers 274 Following “The difference between ordinary and extraordinary is that little extra.” — Jimmy Johnson
Hiteshwardev Thakur @hiteshwardev
2K Followers 95 Following Physics Major | Artificial Intelligence & Machine Learning | Quantum Computing | Computational Sciences | Medium: https://t.co/EvRqHfQ110
Vivek Silimkhan @VivekS100
123 Followers 534 Following Senior Software Engineer (ML) and Cohere Labs Community Lead
SPAR @SPARexec
198 Followers 37 Following We're a part-time, virtual research program that gives students and early career professionals an opportunity to work with professional AI safety researchers.
gurispeaks @gurdeep101
190 Followers 1K Following MBA turned CFA turned Data Science Leader; explorer of fat tails https://t.co/p2yyPU5A4D https://t.co/coSMHxpO6V
Apurv Verma @verma_apurv5
494 Followers 3K Following Building safer, more aligned models 🧭 📐 • PhD student @NJIT 🎓 • NLP @Bloomberg 🛠️ • Prev: AS @AmazonScience • Alma: @GTCSE, @iitrpr
🚀Henry is launchin... @sleight_henry
1K Followers 677 Following AI Safety Research Manager @ Constellation, Anthropic Fellows, prev-MATS Working out how to Do Big Good, but sanely! Apologetically myself | He/Him, 26
Ziyang Xie @ZiyangXie_
113 Followers 269 Following Researcher in 3DV 🌏 / Embodied AI 🤖 Founder of Manifolds-AI 🔥 MSCS @UIUC | BS in CS@FudanU 👉🏻 https://t.co/8hLCec1Wu0
Naved Ahmad @iam_Naved_
546 Followers 158 Following DevOps | AWS | Python Scripting | Kubernetes | Docker | CI/CD | Jenkins | Bash Scripting | Ansible | Golang
William @will_the_ai_guy
558 Followers 347 Following Founder of Akapulu AI I make real time talking avatars https://t.co/Wh28ur2KM8
Ishaan @ishaan_jaff
3K Followers 2K Following Co-Founder LiteLLM (YC W23) - Python SDK & LLM Gateway to Call 100+ LLMs in 1 format, set Budgets https://t.co/nXsBde05K7
micro @micro0xff
59 Followers 154 Following Sharing code, projects, and failures so you don’t make the same mistakes.
Matin Ario @Matin_Ario
5K Followers 2K Following The Unfuckwithable , Founder of this: https://t.co/bRoDt2yiX5
J.J @JJCyberPath
366 Followers 649 Following Building the First solo AI Startup Unicorn. BS in Mathematics, Computer Science, Economics and Psychology. Join my journey! 🚀
∬ Nazif Berat @nazifberat
4K Followers 7K Following AI Engineer, AI-Human Interaction Designer, #Software #ProductDesign
Robert Cincotta @drrobcincotta
457 Followers 2K Following Maternal-Fetal medicine specialist & PhD candidate in AI for twin pregnancies. Husband, dad, techno optimist, golfer, AFL fan. Thriving at full speed.
maya @mayyayayaa
9K Followers 356 Following 19• cs student• learning ai ml• crochet • artstudio💗🧚♀️
Elliot @Mmind90
197 Followers 3K Following
God Level @God_Ievel
36 Followers 986 Following it’s about the journey, not the destination. AGI 2025 🇺🇸 e/acc
Nick Jiang @nickhjiang
762 Followers 298 Following interpreting neural networks @berkeley_ai // cs + philosophy @ucberkeley // prev @briskteaching @watershed
Aaryan Guglani @guglaniaaryan
102 Followers 415 Following 22 | ai/ml | blockchain Code, chips, cryptography. I break, build, and write about the future.
Hashmitha @Physicla_
1K Followers 747 Following 21 | 量子物理学者 |Quantum optics and information | Quantum Sensing | ML | Biophysics | PoetryTrends for United States
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