You can get experience and practice with AI by exploring some of these productivity tools. One of the most popular ones is chatGPT.

I asked Gemini for a list of AI productivity tools and here was the response. I added a few examples of my own because it only provided two examples of each type.

• Chatbots & Writing Assistants: ChatGPT (OpenAI), Google Bard (Google), HuggingChat
• Grammar & Style Checkers: Grammarly, ProWritingAid
• Video Creation & Editing: Synthesia, Runway ML, Descript, Wondershare, Filmora
• A guide to AI music generators at AudioCipher: https://www.audiocipher.com/post/ai-music-app
• Research & Information Gathering: Elicit, Consensus, genei, Aomni
• Image Generation & Editing: DALL-E 2 (OpenAI), Midjourney, Stable Diffusion. Tom’s Guide.
• Presentation & Design: Gamma, Beautiful.ai
• Code Generation & Assistance: GitHub Copilot (GitHub & OpenAI), Amazon CodeWhisperer (Amazon)
• Meeting & Transcription: Otter.ai, Fireflies.ai
• Task Management & Automation: Motion, Zapier

Here is an “older” article on the top LLMs. It references ChatGPT 4o, not the newer version 5. Top Large Language Models (LLMs): A Comprehensive Ranking of AI Giants Across 13 Metrics Including Multitask Reasoning, Coding, Math, Latency, Zero-Shot and Few-Shot Learning, and Many More. There are different task categories you could use to evaluate LLMs. Some of them are multitasking, coding, math, lowest latency (fastest response time), cheapest, context window (the amount of text it can consider at once when generating a response, factual accuacy, truthfulness and alignment, safety and robustness against adversarial prompts, robustness in multilingual performance, knowledge retention and long-form generation, zero-shot and few-shot learning, ethical considerations and bias and reduction. The article linked above describes these factors. The articles says “the competition among the top LLMs is fierce, and each model excels in different areas”.