Oscar A. Martinez retweeted
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 gradientj.com
#GoogleIO
Love to see that 🫡 #GoogleIO2023
Come check out what's possible at gradientj.com
Oscar A. Martinez retweeted
People are at the core of every business…
So we made PeopleGPT.io, 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 retweeted
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)
Oscar A. Martinez retweeted
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 🥸
Oscar A. Martinez retweeted
This book is truly remarkable. Tim has spent 6 years on this. You must read it. amazon.com/gp/aw/d/B0BTJCTR5…
Oscar A. Martinez retweeted
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)!
Oscar A. Martinez retweeted
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:
Oscar A. Martinez retweeted
OpenAI just launched the "AI Text Classifier" to identify texts generated by AI.
Tried it, and IT DOES NOT WORK.
platform.openai.com/ai-text-…
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
Oscar A. Martinez retweeted
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. 👇
Oscar A. Martinez retweeted
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:
github.com/approximatelabs/s…
Google Colab Notebook Demo:
colab.research.google.com/gi…
Oscar A. Martinez retweeted
.@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)
tryfondo.com/blog/gradientj-…
Oscar A. Martinez retweeted
💡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!
Oscar A. Martinez retweeted
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?
xitter.cf/dytweetshere/status/16…
We're releasing our @scale_AI hackathon 1st place project - "GPT is all you need for backend" with @evanon0ping @parkerjou
But let me first explain how it works:
Oscar A. Martinez retweeted
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.
Oscar A. Martinez retweeted
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: ycombinator.com/launches/Ht4…
Oscar A. Martinez retweeted
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 🙌
🔍 @andi_search (YC W22) is like a mashup of Google and ChatGPT — it combines the convenience of a chatbot with the credibility of a standard search setup, but with zero ads and zero privacy compromises.
fastcompany.com/90839421/and…
Oscar A. Martinez retweeted
🚨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 (github.com/Rolv-Arild/Necto) has been steamrolling on public servers! It's in the top 0.5% ELO bracket.
Oscar A. Martinez retweeted
Try talking with ChatGPT, our new AI system which is optimized for dialogue. Your feedback will help us improve it. openai.com/blog/chatgpt/
Oscar A. Martinez retweeted
🪐 Introducing Galactica. A large language model for science.
Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.
Explore and get weights: galactica.org
































