Perception of AI: Let’s build an app that recognizes photos of birds.
The reality: “AI is f*cking hard.”
A few new products have reminded us that there’s still much to do about making AI coding systems accessible and usable, but these makers are on it.
Nyckel is a product built by engineers with backgrounds in APIs, machine learning systems, and high-scale cloud computing platforms. It helps makers build AI into their tools and apps and can be used to do things like tag appropriate versus inappropriate posts, categorize photos, or predict whether a customer is likely to purchase. The startup hopes to help companies avoid having to hire a machine learning team or build costly ML infrastructure.
You can watch the launch video (narrated by one Nyckel maker, and Personal Finance Club creator, Jeremy Schneider) to see a demo of Nyckel in action as a model is trained to identify bird photos.
Then there’s Riku, a platform where makers can use multiple AI providers. As maker Stuart Lansdale points out, OpenAI has been growing in popularity, but there’s more technology than just OpenAI. There’s just “no central place to create prompts, swap out the tech to see different outputs or see what the best prompts are from the community.”
Riku lets makers build AI prompts with OpenAI, Cohere, AI21 or GPT-J. “Switching between tech couldn't be easier and is as fluid as hitting a dropdown.”
And TagTeam is the one serving the realness that opened this newsletter. AI is hard, and “developers haven’t been able to fully utilise the AI-driven solutions that exist… [while they’ve] been guarded by dominating organisations with specialised data scientists,” maker Hannah O'Connor shared.
TagTeam is an NLP API, or a software interface that lets makers extract information and insights from the contents of text and documents. Common NLP language tasks are sentiment analysis, classifications, tokenization, text summarization, and text generation. In the demo video, you can see how TagTag extracts information from a receipt.
If you’ve been sitting on questions about building with AI, now’s a good time to ask a few makers who are working to make AI easier and accessible.
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