Oscar A. Martinez

Teaching computers to do cool things, one arxiv paper at a time.

[GradientJ @GradientJAI]

So cool to be featured at Google I/O!

The possibilities for apps in the space are exploding, and we’re excited to make it easy for developers to wrangle up🤠 that complexity and build powerful AI-powered apps in minutes🚀.

Check us out at https://t.co/hoAqkNJDvG

#GoogleIO

[Oscar A. Martinez @OscarMHBF]

Love to see that 🫡 #GoogleIO2023

Come check out what's possible at https://t.co/7TKn0lQgYT

[david paffenholz @davepaffenholz]

People are at the core of every business…

So we made https://t.co/LF4KUlnBuf, the first AI search engine for people data! 👋

Powered by billions of professional data points across the internet.

Find "CA-based propulsion engineers at space tech companies" & much more…

[Oscar A. Martinez @OscarMHBF]

@Jason @ycombinator @GradientJAI the platform to build custom natural language processing APIs in minutes using LLMs

https://t.co/Dk0hSnUZi7

[Guillaume Lample @ NeurIPS 2024 @GuillaumeLample]

LLaMA 65B can run on a MacBook! With a different model architecture it could probably run quite faster (we didn't use multi query, for instance)

[Alex Lee @AlexLee611]

Here it is. The YC W23 Gen AI Landscape 💥

Why no one had done this yet is beyond me. 36 Gen AI startups in the YC W23 batch. Covering just about everything a company needs: customer success, marketing, developer tools and of course my personal favorite, finance & accounting 🥸

[tobi lutke @tobi]

This book is truly remarkable. Tim has spent 6 years on this. You must read it. https://t.co/2R73jwandP

[Katie Link @katieelink]

BioGPT-Large was just released by Microsoft 🤩

Trained from scratch on biomedical text, it's the current leader on the PubMedQA benchmark at 81% accuracy (human performance = 78%).

It's also freely available on the @huggingface hub to try out (and fine-tune)!

[Varun Shenoy @varunshenoy_]

Can LLMs extract knowledge graphs from unstructured text?

Introducing GraphGPT!

Pass in any text (summary of a movie, passage from Wikipedia, etc.) to generate a visualization of entities and their relationships.

A quick example:

[Sebastian Raschka @rasbt]

OpenAI just launched the "AI Text Classifier" to identify texts generated by AI.
Tried it, and IT DOES NOT WORK.
https://t.co/ibTQboK21D

Using my Python ML book published in 2015:

1) @randal_olson's foreword: unclear
2) my preface: possibly AI
3) paragraph from Ch1: likely AI

[Guillaume Luccisano @luckwi]

The #OpenAI `completions` API has a small, overlooked feature: batching

Let's cover the 2 main benefits and 2 ways we take advantage of them at @Yuma_dot_AI in a production setting. 👇

[Carl Carrie (@🏠) @carlcarrie]

Sketch

Sketch is an AI code-writing assistant for pandas - normalize, clean, plot

E.g.

df.sketch.howto("Plot the sales versus time")

Python GitHub:
https://t.co/XTFIX4h9hR

Google Colab Notebook Demo:
https://t.co/pRgTxjAegc

[Fondo.com @Fondocom]

.@GradientJAI helps product teams deploy LLMs at scale

Create GPT3 apps & monitor in production

🧪 Test Prompts
📝 Iterate & Compare
💸 Cut Costs

🚀"Deploy & monitor in one click"

Founders: @OscarMHBF & @dansilasb + backed by
@ycombinator (W23)

https://t.co/xVJtdRoonq

[Jay Hack @mathemagic1an]

💡LLMs for product recommendation💡

Shove a bunch of product/customer information into GPT context (description, reviews, ingredients, etc.)

➡️ Have GPT determine best product match.

Bonus: GPT can write copy to justify their recommendations to the customer!

[Jay Hack @mathemagic1an]

Still thinking about this

"GPT is all you need for backend"

It's a joke, but there's also something deeper there

What if you had a fully differentiable backend for your SAAS service? Will we train our backends, not program them, in 10 years?

https://t.co/3M01nSQlq4

[Dan Robinson @danlovesproofs]

Want to build an AI infra company? Here's something I'd happily pay for.

Manage embeddings for me, *including the ability to refine off-the-shelf embeddings for my use case.*

Customized embeddings, as a service.

[Y Combinator @ycombinator]

Welcome to YC W23, @dansilasb, @oscarmhbf, and @gradientjai!

GradientJ helps product teams deploy large language models at scale. Companies can use GradientJ to create GPT3 applications and monitor them in production.

Check out their launch: https://t.co/QR1w2PF3Jk

[Angela Hoover @angelahoover_]

Thank you so much @ycombinator for the continuous support and encouragement 💙🧡 YC changed my life and the trajectory of Andi. I'm super grateful to be a part of the YC family 🙌

[Ted Xiao @xiao_ted]

🚨New RL impact just dropped🚨

1) My friend is a high level Rocket League player and just alerted me that an open-sourced agent trained with reinforcement learning + self play (https://t.co/DhBX3RjT5n) has been steamrolling on public servers! It's in the top 0.5% ELO bracket.

[OpenAI @OpenAI]

Try talking with ChatGPT, our new AI system which is optimized for dialogue. Your feedback will help us improve it. https://t.co/sHDm57g3Kr