Nicolay Gerold

The idea is: learn to prompt chatbots very well = get way better outputs.

Right now, intricate prompting is helpful for some tasks. But over time, we think it’s an overrated skill. Here’s why:

1. As AI models improve, they require less “engineered” prompts. DALL-E 3 is a great example of this (you get top-tier images with < 10-word prompts).

In this case, it will still... See more

As we know, this has been pushed into many different areas where we’re already seeing productive viable businesses. I like to call them the 3Cs. There’s creativity, like any component of a video game, that you can automatically generate. There’s companionship, which is more of an emotional connection so you have characters to talk to, so it fills a... See more

A better type of backendConvex is the fullstack TypeScript development platform. Replace your database, server functions and glue code.

In the simplest form, we can use the model’s detection confidence to determine a score. But even here there are quite a few options to choose from:

• Lowest confidence - the score is the lowest confidence of all detected objects


• Average confidence - average of all confidences of detected objects


• Minimizing confidence delta - difference between

... See more

“I look for features from data scientists, [who have ideas of] things that are correlated with what I’m trying to predict.” We found that organizations explicitly prioritized cross-team collaboration as part of their ML culture. Md3 said: We really think it’s important to bridge that gap between what’s often, you know, a [subject matter expert] in... See more

Neuromodulators are produced from amino-acids. Especially l-thyroxine is a building block of dopamine. This can be used to motivate activities leading to the intake of l-thyroxine. It makes us feel in pursuit and alert.

Perception: taking in the sensations and focusing on them. Under the control of your attention. Two attentional spotlights are possible and you can dilute, concentrate your attention.

latest research on text embeddings!

TLDR: Vector databases are NOT safe. Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...