7/ If you’re looking to augment your business with AI, check out Bounties. https://
replit.com/site/bounties
AI
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Augment Your Business with AI Through Bounties Platform
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From Tweet to Reality: Collaborative AI Project Development
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3/ It all started with a single tweet from @amasad
. @gennarocuofano saw the potential, posted his idea, and found the perfect dev to bring his vision to life. -
Building AI Chatbot with GPT-3.5-turbo in Two Weeks
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4/ @gennarocuofano connected with his developer in two days and had his AI chatbot built in under 2 weeks. The chatbot was built using @OpenAI
's gpt-3.5-turbo API and augmented with features like a rating system, voice activation, and one-click resource recommendations. -

Builder Leverages AI Chatbot for Custom Business Tool
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1/ Every week we see more and more builders leveling up their business with AI.
— Replit ⠕ (@Replit) 24 mai 2023
Founder of @FourweekMBA, @gennarocuofano, used Bounties and Deployments to build a custom chatbot trained on his business blog.
Here's how he did it and how you can too 👇https://t.co/i6X3IftoPT pic.twitter.com/g1WxXufhDT1/ Every week we see more and more builders leveling up their business with AI. Founder of @FourweekMBA
, @gennarocuofano
, used Bounties and Deployments to build a custom chatbot trained on his business blog. Here's how he did it and how you can too https://
chatbusiness.ai -
Chatbot trained on business model resources improves user experience
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2/ @Fourweekmba is a blog and workshop that gives builders insights on tech business models. @gennarocuofano gets significant traffic on his blog, but the content can feel overwhelming to readers. That's when the idea to build a chatbot trained on his resources was born.
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Mechanistic Interpretability Research Directions and Future Goals
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Finally, we’ve published a separate high-level note on where we’re hoping mechanistic interpretability research can go. We think it’s good to occasionally step back from our research and reflect on what we're aiming for. https://
transformer-circuits.pub/2023/interpret
ability-dreams/index.html
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Transformer Circuits Research Update and External Contributions
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In addition to our work, we highlight recent work by a number of researchers at other groups which we believe will be of interest if you find our papers interesting. https://
transformer-circuits.pub/2023/may-updat
e/index.html#external-research
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Transformer Circuits Updates: Dictionary Learning and Model Features
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These updates include discussions of attacking superposition with dictionary learning; Defining model features as the simplest factorization; An interesting “two circle” phenomenon in memorization, and several more results from our team. https://
transformer-circuits.pub/2023/may-updat
e/index.html
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Transformer Circuits Research Updates and Community Comments
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We also list new comments and any corrections on our old papers. We periodically add comments (both from ourselves and others) on previous papers, but they can easily be missed since they're just added to the bottom of existing papers. https://
transformer-circuits.pub/2023/may-updat
e/index.html#new-comments
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Interpretability Team Launches Informal Research Updates Series
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Our Interpretability team is experimenting with “Updates” – small, informal research notes in between our major papers.