thebigmehtaphor's profile picture. cofounder and cto @tensorzero. previously did a PhD at CMU doing sample efficient reinforcement learning for tokamaks and math and cs @stanford before that

Viraj Mehta

@thebigmehtaphor

cofounder and cto @tensorzero. previously did a PhD at CMU doing sample efficient reinforcement learning for tokamaks and math and cs @stanford before that

Claude code is so smart it overestimates how long it will take to do something by 5x and then overdelivers; senior devs on notice


it is nice of @github to include all kinds of potentially helpful software on their free runners by default but not so nice that every time I want to compile anything in CI I have to run EXTREME DISK CLEANUP for 2-40m first. Maybe leave us a bit more room..


Viraj Mehta đã đăng lại

Shuyang Li previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, maps, etc.). Before that, he worked on ML/analytics products at Palantir and graduated…

TensorZero's tweet image. Shuyang Li previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, maps, etc.). Before that, he worked on ML/analytics products at Palantir and graduated…

multi-armed bandits are some of the most fun a computer scientist could have turns out, they're extremely useful for deciding that prompt + model + parameters are best for your problem they're now built into TensorZero with a couple lines of config. Try it on your problems!

🗞️ [Blog Post] Bandits in your LLM Gateway: Improve LLM Applications Faster with Adaptive Experimentation (A/B Testing) • Experimentation (A/B testing) with production traffic is the most reliable way to identify the best prompts and models for your task, but traditional…



Viraj Mehta đã đăng lại

read the full analysis, methodology, and code examples: tensorzero.com/blog/is-openai… thanks to @gabrielbianconi @thebigmehtaphor Alan Mishler and Shuyang Li for their helpful feedback what's your experience with rft? cooked or let it cook?


how do inference services ever output control tokens? can't you unit test for this? shouldn't you have monitoring set up for this? I don't want to name names but sheeeeesh


the responses API is a way for @OpenAI to lock people in. It’s trivially true that any stateful interface can become stateless if you are allowed to return an encrypted blob of data (like Anthropic does today). Gating new features behind something like this is a wedge


10000 and 100 on the same day is nice & round it is great to see the project grow up big & strong!

Thank you for 10,000 stars and 100 contributors — on the same day! We're excited to continue building a next-generation open-source stack for LLM applications. Find us on GitHub ↓

TensorZero's tweet image. Thank you for 10,000 stars and 100 contributors — on the same day!

We're excited to continue building a next-generation open-source stack for LLM applications.

Find us on GitHub ↓


Viraj Mehta đã đăng lại

Al Chen (@bigal123) from Grammarly recently built an agent with a continuous improvement loop using TensorZero + LangGraph. Watch his presentation at the NYC LangChain Meetup last week!


Viraj Mehta đã đăng lại

built in Rust for performance 🏎️

TensorZero's tweet image. built in Rust for performance 🏎️

We need to make good decisions about an applications’s LLM stack the same way we make good decisions about parameters of other high-throughput systems. Alan’s work will bring automation and rigor to the process for TensorZero users. Couldn’t be more excited to work with him.

Alan Mishler is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at JPMorgan AI Research and received a PhD in Statistics from CMU,…

TensorZero's tweet image. Alan Mishler is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at JPMorgan AI Research and received a PhD in Statistics from CMU,…


Viraj Mehta đã đăng lại

BREAKING: IT'S OVER 9000

TensorZero's tweet image. BREAKING: IT'S OVER 9000

🫡🤘🏾🚀

YOU INTRO → WE HIRE = $25k REWARD How to pitch your smart friends: 1. Recently hit '# 1 trending repository of the week' globally on GitHub → vast majority of the work will be open source 2. Team: 3 ML researchers (Stanford, CMU, Oxford, Columbia → 6k+ citations), Rust…

gabrielbianconi's tweet image. YOU INTRO → WE HIRE = $25k REWARD

How to pitch your smart friends:

1. Recently hit '# 1 trending repository of the week' globally on GitHub
→ vast majority of the work will be open source

2. Team: 3 ML researchers (Stanford, CMU, Oxford, Columbia → 6k+ citations), Rust…


my 🐐@YoungseogC

Congratulations @youngseogc for successfully defending his ML PhD at CMU! (& thank you for the TensorZero shoutout!)

TensorZero's tweet image. Congratulations @youngseogc for successfully defending his ML PhD at CMU!

(& thank you for the TensorZero shoutout!)


Viraj Mehta đã đăng lại

WANTED: Founding MTS with a background that combines product and engineering We can't keep up with TensorZero's open-source traction. You can help. Join our founding team in a cross-functional role that combines product, engineering, and GTM. Team: 3 ML researchers (Stanford,…

TensorZero's tweet image. WANTED: Founding MTS with a background that combines product and engineering

We can't keep up with TensorZero's open-source traction. You can help.

Join our founding team in a cross-functional role that combines product, engineering, and GTM.

Team: 3 ML researchers (Stanford,…

This release to me highlights the power of @rustlang and the PyO3 / NAPI-RS interfaces on top. It’s so nice to have a portable and canonical codebase to maintain consistency. The experimental features speak to the crazy stuff we’ll be building later this year. 🤔

TensorZero 2025.7.0 is out! 📌 This release revamps TensorZero's optimization workflows. Supervised fine-tuning now supports multimodal data (vision, documents, etc.), multi-turn tool use, and more. You can also launch and monitor optimization workflows programmatically with our…



TensorZero #1 globally on GitHub this week 🤯 thank you to everyone especially the OSS homies

thebigmehtaphor's tweet image. TensorZero #1 globally on GitHub this week 🤯
thank you to everyone especially the OSS homies

Loading...

Something went wrong.


Something went wrong.