Would love to find out what everyone out there is using as far as AI tools. Drop what ai tools you are using and what you are using them for, below. Thanks!

Wondering if anyone else is waiting for their upgrade email. I made the purchase to the Elite package and have not received anything about it. However, I have received emails asking me to upgrade... lol. Help, please...

What your thoughts are on AI (hate/Love/overwhelming)? If you could use AI for one thing to help you run your business more efficiently, what would that be?

I put together a quick glossary of the 20 most common AI and Large Language Model terms, no tech degree required. Whether you’re just starting out or already building with AI, this list will help you understand the language everyone’s using. 👉 Save this for reference and share it with anyone starting their AI journey. AI can sound like another language, so here’s a quick glossary you can bookmark and come back to when you need a refresher. Whether you’re just exploring or already experimenting, these terms will help you speak “AI” with confidence. AI (Artificial Intelligence): Technology that mimics human thinking and learning to perform tasks like writing, analyzing data, or predicting outcomes. Machine Learning (ML): A type of AI that improves automatically through experience, like teaching a computer to recognize patterns. Deep Learning: A branch of machine learning that uses layered neural networks (similar to how the human brain works) to handle complex tasks such as image or speech recognition. Neural Network: A system of algorithms designed to recognize relationships in data, inspired by how our brains process information. Large Language Model (LLM): A type of AI trained on huge amounts of text so it can understand and generate natural language (like ChatGPT). Training Data: The text, images, or other information used to teach an AI how to recognize patterns or make predictions. Parameters: The internal settings an AI adjusts during training to learn how to produce better results. Prompt: The instruction or question you give an AI to get a response. Prompt Engineering: The skill of crafting better prompts to get more accurate or creative outputs. Token: A small piece of text, like a word or part of a word, that AI models use to process language. Context Window: The limit to how much text an AI model can “remember” or consider at once in a conversation. Fine-Tuning: Customizing an existing AI model by training it further on specific data so it performs better for a particular task.