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A brand new strategy to test how well AI systems classify text

Is that this movie review a rave or a pan? Is that...

This “smart coach” helps LLMs switch between text and code

Large language models (LLMs) excel at using textual reasoning to grasp the...

Beyond Code Generation: Repeatedly Evolve Text with LLMs

the initial response from an LLM doesn’t suit you? You rerun it, right? Now, if you happen to were to automate that… success = false while not success: response = prompt.invoke() ...

Winston AI Review: The Fastest Technique to Spot AI-Generated Text

Have you ever ever wondered for those who’re reading something written by an actual person or a robot? Nowadays, AI tools like ChatGPT and Claude are pumping out content faster than we will blink,...

R.E.D.: Scaling Text Classification with Expert Delegation

With the brand new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain which have subpar solutions. Most classification problems (at a PoC level) will be solved by...

WriteHuman Review: Can It Really Make AI Text Sound Human?

Have you ever ever read something and immediately knew it was written by AI? You would possibly notice some overused words, repeating words or phrases, or the excessive use of certain buzzwords and jargon...

Machine Learning + openAI: solving a text classification problem

How I migrated an old solution to a more elegant, robust and scalable solution using text classification from openAIAs mentioned within the previous article, I talked about how I learned the foundations of machine...

The AI Hype Index: Robot pets, simulated humans, and Apple’s AI text summaries

Separating AI reality from hyped-up fiction isn’t at all times easy. That’s why we’ve created the AI Hype Index—a straightforward, at-a-glance summary of the whole lot you must know in regards to the state...

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