Atchai

AI Strategy and Engineering

[Saurabh Bhambry @saurabhambry]

A lot of non-technical people don’t realize how amazing @huggingface is for anyone even mildly curious about AI.

It has over 430K AI models hosted on it, including model demos hosted by OpenAI, Google etc.

👇quick intro guide for non-technical folks on how to get started:

[Atchai @atchai]

It covers key points such as the impact of Innovation on business growth and what to consider in your Innovation strategy. It also relates to industry research by @McKinsey and @BCG how most successful companies pursue Innovation.

[Atchai @atchai]

🚀 Exciting new read alert! 🚀

Looking for some fresh insights? Check out this must-read article by @pmisha, on the necessity of Innovation for business success.

https://t.co/LD3PgZ3ovI

#Innovation #BusinessInnovation #techinnovators

[Atchai @atchai]

@johngriffin This field moves so fast! Such a review is helpful to stay up-to-date!

[Atchai @atchai]

Brilliant visualization of what's going on inside LLMs.

[Brendan Bycroft @BrendanBycroft]

Project #2: LLM Visualization

So I created a web-page to visualize a small LLM, of the sort that's behind ChatGPT. Rendered in 3D, it shows all the steps to run a single token inference. (link in bio)

[Atchai @atchai]

@johngriffin Interesting and insightful!

[John Griffin @johngriffin]

What secret sauce is being brewed to turbocharge the engineering teams of tomorrow?

Researchers from Meta, KAIST, and King's College London conducted a comprehensive meta-analysis of over 229 studies where #LLMs are being applied to the world of software engineering. I’ll provide a quick summary of the most interesting bits in this post.

https://t.co/M4p0XekgsC #AI

[Michael Prilutsky @pmisha]

Are you aware of the dark side of generative AI? 😱 Discover the security and privacy risks associated with this technology in my latest blog post! 📫

https://t.co/7fSqlPRaTA

🔎 Dive into the details of the dark side of generative AI to explore the potential risks.

[John Griffin @johngriffin]

How competitive are the various web3 sectors? 🧐💰

Each sector tells it's own story but here's an overview of all sectors - showing the Herfindahl-Hirschman Index, a tool to measure capital concentration.

Full post [& code] here: https://t.co/EPEEoSLSZi

[Atchai @atchai]

Very light touch approach from UK on AI regulation. https://t.co/fLlgbOCD3D

[Lior Alexander @LiorOnAI]

LLMs just hit a major milestone with the release of the new "Generative agents" paper.

By using LLMs, generative agents were able to simulate human-like behavior in an interactive sandbox inspired by The Sims.

The agent architecture extends Language Models to store a complete record of the agent's experiences using natural language, synthesize those memories over time into higher-level reflections, and retrieve them dynamically to plan behavior.

There are three components to it:
1. The memory stream, which records a comprehensive list of the agent's experiences

2. Reflection, which synthesizes memories into higher-level inferences over time

3. Planning, which translates those conclusions and the current environment into high-level action plans.

Layer that on top of Boston Dynamics robots and we might be the early days of WestWorld.

[CalCo @calco_io]

Today we're releasing GPT4All, an assistant-style chatbot distilled from 430k GPT-3.5-Turbo outputs that you can run on your laptop.

[Omar Sanseviero 🇫🇷 @RAISE Paris @osanseviero]

Are you overwhelmed by everything happening in the ML ecosystem?

We're doing a small crowdsourced initiative with a high-level distillation+timeline of cool big things happening in the ML landscape. Feel free to contribute! 🤗

https://t.co/cWzMo9IZLh

[Andrew Ng @AndrewYNg]

New course announcement! Math for Machine Learning and Data Science.

Designed to make learning AI's math easy:
∙ Linear algebra
∙ Probability & Stats
∙ Calculus

Will help learners build better ML systems and pass job interviews!
https://t.co/bM70tPieXO

[storm @notnotstorm]

🟩📊🌀excited to announce the launch of the Paradigm Data Portal 🟩📊🌀

TLDR: we are assembling a bunch of public crypto datasets for researchers and tool builders

short thread

[John Griffin @johngriffin]

GPT-4 is making be seriously reconsider something that I previously thought impossible. I've been playing with AI code audits for smart contracts and ChatGPT wasn't that impressive. What has changed? (v short 🧵)

[Atchai @atchai]

We’re in the news! 📰 Great write up from The Times on our AI work with Cabinet Office building a “Google for Government”, with a quote from yours truly. Congratulations to the super-talented team who made the project a success. https://t.co/0UROl2eZMD

[Sam Altman @sama]

I still underestimate the compounding power of the rapid execution and iterated learning feedback loop.

A commitment to this, over the course of a career, is the closest thing you can get to guaranteed success.

[John Griffin @johngriffin]

Looking for writers / content creators interested in AI. We have the experts (professors, PhDs) but need help crafting stories. First topics around ethics and bias. DM me.

[Atchai @atchai]

What can data scientists contribute to the COVID-19 effort? #datascience #NLP #covid19 #coronavirus https://t.co/8PztaAA3UB