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No-code model builder
Hey friends, the Hackathon projects are ready for voting! There have been so many impressive projects built this past week. I'm seriously floored with what you've all been building, in ONE WEEK 🤯.
Go and vote for your favourite submissions here (you need to sign up to vote). Voting closes 11:59pm tonight Eastern Time then into our judges hands to determine prizes!
I'll shout out winners right here in a few days 😊
Let's get to it.
🤌 Ben's Picks
A "Copilot for X" guide from the team that built the first real Copilot competitor. This article provides an overview of the considerations and steps necessary to build a "Copilot for X" product, using the example of Codeium, a Copilot alternative. (link)
No Code AI Model Builder - Create custom GPT-3 AI models in minutes, with no code. This is cool. Upload a CSV and then use it in OpenAI's playground as a fine tuned model, or even use it with Zapier. (link)
This was from last week and somehow I missed it! Richard Ngo on large language models, OpenAI, and striving to make the future go well. (link)
A really good overview of the AI market, what's happened and what's to come. It's still early! (link)
🛠️ Cool Tools
Diffusion Radio: A 24/7 YouTube channel that livestreams AI-generated music. When I went on the channel basically gave me mild concussion. I think, 'music' is a bit of an exaggeration. (link)
Peech - The generative AI video expert that creates your content. (link)
xpression camera 2.0 - Generative AI for video chats and live streams. (link)
Gift Genie AI - Get gift ideas by AI from a giftee description. (link)
TweetGPT - A chrome extension that generates tweets and replies using ChatGPT. (link)
Promptist - A prompt interface for Stable Diffusion that optimises user input into model-preferred prompts. (link)
Hairstyle AI - Try new hairstyles with the power of AI. (link)
🎓 Learn
🔬 Research
Discovering language model behaviours with model-written evaluations. (link)
#ICLR2023 workshop on "Reincarnating reinforcement learning" is announced. (link)
DSI++: Updating transformer memory with new documents. (link)
Unsupervised dense retrieval deserves better positive pairs: Scalable augmentation with query extraction and generation. (link)
Neural story planning. (link)
Scalable diffusion models with transformers. (link)
SPARF: Large-scale learning of 3D sparse radiance fields from few input images. (link)
BEATs: Audio pre-training with acoustic tokenisers. (link)
Optimising prompts for text-to-image generation. (link)
Point·E - A system for generating 3d point clouds from complex prompts. (link)
👋 Too many links?! I created a database for all links mentioned in these emails. Refer 1 friend using this link and I'll send over the link database.
🤓 Everything else
A thread on ‘2023 AI prediction: the gap between generative and predictive AI will widen.’ (link)
UMass Amherst’s assistant professors Marco Serafini and Hui Guan have received Amazon Research Award and a grant from the National Science Foundation totalling over $500K to support their work improving training for graph neural networks. (link)
A video made with Runway using the prompt, ‘Home Alone. But as the opening credits of White Lotus season two.’ So fun that Runway make new employees create a video in there first week! (link)
Tinder users are using ChatGPT to message matches. (link)
A new AI chatbot might do your homework for you. But it's still not an A+ student. (link)
MIT Technology Review article on ‘how to spot AI-generated text.’ (link)
Chatbot's doomsday scenario for truth. (link)
Los Angeles Times, ‘A.I. is here, and it’s making movies. Is Hollywood ready?’ (link)
Harvard Business Review article on ‘What companies need to know before investing in AI.’ (link)
ImagenAI, which uses AI to personalise photo editing styles, raises $30M. (link)
After Meta cancels Odense data centre expansion, projects are being "rescoped" globally. (link)
The Guradian article, ‘Becoming a chatbot: my life as a real estate AI’s human backup.’ (link)
🖼 AI images of the day
"A highly detailed anatomical cutaway of a giant Christmas tree; medical illustration"
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👋 See ya
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