Andy Chen

[Andy Chen @AndyChenML]

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

[Andy Chen @AndyChenML]

@sama Chat automation with humans in the loop is a start: https://t.co/CNAKXO1LYN

From the same industry that led video streaming and subscriptions—but has always been seen as "too aggressive" 🙂

[Ethan Mollick @emollick]

In all seriousness, what is the plan for college essays in the fall?

It can't be college essays as usual.

[Matthieu LC @matthieulc]

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: https://t.co/xfz4L4QsSA

#stablediffusion

[John Thickstun @jwthickstun]

Let's play with the Anticipatory Music Transformer: reharmonizing a MIDI arrangement of Levitating (Dua Lipa).

Blog post describing this interactive creative process:

https://t.co/IBN7K8GTB1

Colab notebook used to create this demo:

https://t.co/2sqezJzyMz

[Davis Blalock @davisblalock]

In the spirit of "Latency Numbers Every Programmer Should Know," (https://t.co/goVHF09sVE) this includes some throughput numbers every deep learning user should know. [13/16]

[Sam Altman @sama]

today we launched ChatGPT. try talking with it here:

https://t.co/uWra8LKFMN

[Andy Chen @AndyChenML]

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.

[Andy Chen @AndyChenML]

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 🧵👇

https://t.co/Dz5TgXBO7y

[Andy Chen @AndyChenML]

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

[Andy Chen @AndyChenML]

This AI-powered workflow allows business stakeholders to understand, query, and visualize data in seconds.

No code, SQL, or dashboarding skills required.

[Andy Chen @AndyChenML]

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 ⬇️

[Andy Chen @AndyChenML]

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