Sarah Chieng (@MilksandMatcha) / X

Sarah Chieng

2,653 posts

Sarah Chieng

@MilksandMatcha

Head of DevX @Cerebras prev. @ExaAiLabs, @shopthrifthouse, @MIT married to @tyler_fong_ 💌 DMs open

san francisco

Joined March 2022

Pinned
Sarah Chieng
@MilksandMatcha
Jun 15
I didn't study a lick of AI in college. I had studied computer science at MIT, but because I had been interning and working in quant trading, it was much more statistically focused than anything related to machine learning. For anyone else looking to get started, Cursor is an
00:00
47K
Sarah Chieng
@MilksandMatcha
Oct 4, 2023
I asked my dad if he was disappointed in me. He immigrated to the US in high school, worked like crazy to get me through MIT, only for me to leave one of the highest-paying new grad jobs for "startups." Me: "Are you worried" Papa Chieng: "Nope." Me: "...." Papa Chieng: "I'm
1.5M
Sarah Chieng
@MilksandMatcha
Sep 30, 2023
May: Graduated from MIT June: Reneged on NYC Quant Trading job Sept: Moved to SF! Now ya girl is looking to meet more people in the AI/LLM space :) Coffee's on me ☕️😅
562K
Sarah Chieng
@MilksandMatcha
Nov 28, 2023
I created a notes version of @karpathy's "Intro to LLM" video for folks who don't have 1 hour 😀 (~5 min read) I focused on making the document as holistic and easy to follow as possible, for all understanding levels. For example, > significant restructuring of the video
272K
Sarah Chieng
@MilksandMatcha
Oct 21, 2025
Looking to angel invest in a few more startups this year If you’re building something exciting and think I could be helpful, reach out — DMs open :)
145K
Sarah Chieng
@MilksandMatcha
Oct 29, 2025
The modern way to read a research paper 👇 Surprisingly, reading a paper 4 times is faster than reading it once. Adapted from @eugeneyan’s 3-pass approach. As someone who was not in the habit of reading papers, this has made it way easier for me to understand and retain
87K
Sarah Chieng
@MilksandMatcha
Dec 9, 2023
I summarized @karpathy's 1 hour "Intro to LLM" video into 3 minutes :) Personally, trying to get better at summarizing and communicating through both notes and verbally! Covers: > what is an LLM > how to build an LLM > limitations > future of LLMs my notes summary:
00:00
255K
Sarah Chieng
@MilksandMatcha
Dec 17, 2023
Compiled all of my notes for quant trading. Made this doc earlier this year and recently found it again. For context, I did several trading internships in college (HRT, SIG, Peak6) and compiled this with friends. Includes: > general textbooks to read > interview question banks
GIF
212K
Sarah Chieng
@MilksandMatcha
Jan 1, 2024
I compiled a prompt engineering "best practices and tricks" doc 😀 Created based on OpenAI @isafulf's prompt engineering talk at @NeurIPSConf and enriched with more details, examples, and tips. I focused on making the document as comprehensive and concise as possible, and it
156K
Sarah Chieng
@MilksandMatcha
Sep 29, 2025
If a prototype takes a day, waiting a week for user feedback is "really painful," said Andrew Ng. Well....now you can get user feedback in under 60 seconds :) Whether you're prototyping a feature or building a full fledged product, learn how to build an AI-powered user research
00:00
Andrew Ng
@AndrewYNg
Jul 21, 2025
The invention of modern writing instruments like the typewriter made writing easier, but they also led to the rise of writer’s block, where deciding what to write became the bottleneck. Similarly, the invention of agentic coding assistants has led to a new builder’s block, where
231K
Sarah Chieng
@MilksandMatcha
Nov 20, 2024
Announcing....Cafe Compute SF's first, late night coffeeshop! Thanks to everyone who came out to cowork, grab coffee, or learn about Cerebras Inference. Stay tuned for the next one! ☕️ Co-baristas @ahuangdev @rohankalvade @klyap_ 🤖 Presented by @cerebras and
00:00
72K
Sarah Chieng
@MilksandMatcha
Aug 2, 2025
Qwen3-Coder is now available on Cerebras, 17x faster than on GPU providers. And it's completely free. Try it out directly in your developer flow, or signup for our virtual hackathon tomorrow. It's a $5,000 prize :) @cerebras @cline
00:00
276K
Sarah Chieng
@MilksandMatcha
Jul 7, 2025
Free, instant access to 1M inference tok/day @cerebras is excited to launch Cerebras Supernova! Developers get 1M free inference toks/day, and if you're a startup, get up to 3 months FREE of increased context windows, rate limits, and 245M tok/day. All on the world's
00:00
122K
Sarah Chieng
@MilksandMatcha
Sep 13, 2023
At MIT, our teachers required that we use chatGPT. ex: our Chinese teacher told us to use chatGPT to correct our grammar before posting our essays for other students to read. She didn't want any incorrect grammar to confuse other students. Why are schools still banning
167K