AI Jargon 101
Imagine sitting in a meeting, and instead of debating ROI, your team is discussing the vibes of your latest AI tool.
Sounds absurd, right?
Illustration: Allan Sanders, WSJ
Welcome to 2025, where Gen AI is transforming ways of working. The goalposts have shifted, and employers are already looking for candidates who know how to apply AI tools in their workflows to make an impact.
As a Product Leader seeking AI-literate candidates, I understand how challenging it can be to keep up with the latest trends in AI, making it feel overwhelming and ripe for impostor syndrome.
So here's a quick crash course on the latest AI buzzwords that are reshaping the industry, courtesy of The Wall Street Journal: https://lnkd.in/ehcsCtiY
Reasoning
Reasoning refers to the AI's ability to solve complex, multi-step problems, much like human reasoning.
New reasoning models are emerging, capable of handling more intricate tasks, though they require significant computing power.
Evals
Evals (aka evaluations) are automated tests designed to assess the safety and capabilities of AI models.
These evaluations aim to establish tripwires to mitigate the risk in AI deployments.
Synthetic Data
As AI models consume vast amounts of human-generated data, synthetic data, created by AI itself, is becoming essential for further training.
This approach allows for efficient training, though careful monitoring is necessary to avoid biasing the model.
Vibes
Beyond traditional metrics, vibe checks focus on the qualitative aspects of AI responses, such as tone and style.
Platforms like Chatbot Arena (https://lmarena.ai/) are enabling users to evaluate AI based on these subjective, yet crucial factors.
How do you feel about vibe checks becoming a real metric?
