Andy Chen

@OriolVinyalsML @OfficialLoganK 🚀🚀🚀🚀🚀🚀!!!

@OfficialLoganK Can't really say but it will be drastic.

What did you build this week?

@sama Chat automation with humans in the loop is a start: creatorhero.com From the same industry that led video streaming and subscriptions—but has always been seen as "too aggressive" 🙂

and i'm very in favor of people trying aggressive experiments to improve them

algorithmic feeds are the first at-scale misaligned AIs

In all seriousness, what is the plan for college essays in the fall? It can't be college essays as usual.

Got stable diffusion to dynamically produce a virtual desktop interface controlled via mouse inputs! No frontend code, no frontend rendering engine, pure image generation. Blogpost: mlecauchois.github.io/posts/deep-gui/ #stablediffusion

Let's play with the Anticipatory Music Transformer: reharmonizing a MIDI arrangement of Levitating (Dua Lipa). Blog post describing this interactive creative process: crfm.stanford.edu/2023/06/16/ant… Colab notebook used to create this demo: colab.research.google.com/drive/1HCQDtGF…

In the spirit of "Latency Numbers Every Programmer Should Know," (gist.github.com/jboner/2841832) this includes some throughput numbers every deep learning user should know. [13/16]

today we launched ChatGPT. try talking with it here: chat.openai.com

2020 was too early for most LLM applications beyond text generation (copywriting, storytelling). But LLM's have gotten a lot better since then, and are still improving at a rapid pace. Looking forward to these new LLM's in the next generation of products.

Some more: Chain of thought prompting (Jan 2022), increasing model size from 175B -> 540B (April 2022), training on more data with Chinchilla scaling (April 2022) You can pile all of these techniques on top of each other and your LLM keeps getting better

An article about the amazing applications of LLM's (GPT-3 for search, Excel, codegen, SQL) From July 2020. In the 2+ years since this article was published, none of these applications took off. What happened? A Thread 🧵👇 pub.towardsai.net/crazy-gpt-3-us…

This AI-powered workflow allows business stakeholders to understand, query, and visualize data in seconds. No code, SQL, or dashboarding skills required.

3/3 We can visualize our data in the same window:

1/3 I built an AI assistant to speed up BI workflows! It connects to your data warehouse and allows you discover, query, and visualize data. In this first video, we collaborate with AI to figure out a new KPI for a business. Read on to see more examples ⬇️