Basil retweeted
!! @pabbeel and I are building a new AI research lab in SF for Amazon! We’re focused on the remaining major problems to build generally intelligent agents and are looking for a few dozen intrinsically motivated people to join our team and work with the Adept folks here. DM me!
Super-excited about what's ahead. Want to move the AI research frontier, join us!
amazon.science/blog/amazon-o…
[email protected]
Basil retweeted
Introducing our new multimodal model Adept FUYU-HEAVY!!
Beats Gemini Pro on both MMLU (text-only benchmark) and MMMU (image+text benchmark)
Plus cute mascots!
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Basil retweeted
✨ come join me! ✨
We're looking for a product designer to join our team focused on making an AI teammate @AdeptAILabs, on-site in SF.
It's a super lovely, amazingly talented, ridiculously humble group, with so much room for impact ❤️
Basil retweeted
I'm so excited to share what's up next for me
I'll be designing a digital AI teammate with the super talented people at @AdeptAILabs!
I'm just a week in and couldn't be more excited about the both wildly creative and technically rigorous team.
Definitely watch this space 🤩✨
Basil retweeted
👋 Join us on 9 March for @londonai!
If you're working on AI, this is your jam. If you're interested in AI, you will this jam, ft:
🤖 @vijaybolina of @DeepMind,
👾 @basil of @AdeptAILabs,
🌱 @lorenzphil09 of @Basecamp_Res
and mystery speaker :-)
londonai.substack.com/p/sign…
I'm very excited to have joined @AdeptAILabs! We're building a universal collaborator – it's like an overlay that sits on top of all the software you use. You can hand off tasks to it by just... asking. Below is an early preview of some things it can do!
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Finished my final week at @normallystudio, after 7 amazing years. Normally works by combining radical experimentation with… just being kind. This culture leads to impactful and meaningful projects. If you get the chance to work with them, or just meet with them: you should ❤️
This is brilliant. The model just needs to be asked nicely to do a good job.
Large Language Models are Zero-Shot Reasoners
Simply adding “Let’s think step by step” before each answer increases the accuracy on MultiArith from 17.7% to 78.7% and GSM8K from 10.4% to 40.7% with GPT-3.
arxiv.org/abs/2205.11916
I tried my own question using nonsense words – the voodoo incantation worked (without needing the second "and so the answer is..." prompt) @shaneguML @arankomatsuzaki
Link to the summary: openai.com/blog/instruction-…
InstructGPT is 100x smaller (!) than GPT-3 (1.3B params vs 175B) but its outputs are rated higher by human labellers for these tasks. It's somehow nice that the team that kicked off the current GIANT MODELS arms race is also taking steps in a different direction. (3/꩜)
Prompt engineering, one of the most interesting approaches to getting good results from GPT-3, is apparently no longer needed for many tasks with InstructGPT models. Just the question will do. (2/꩜)
Taking a few months of sabbatical from the amazing @normallystudio from.......... now! Things I will be doing include (1/✨)