Which model is best for YOU..? OpenAI has introduced the o1 model series, built on innovative "strawberry" architecture, enhancing reasoning for complex problem-solving. GPT-4o is versatile and multimodal, OpenAI o1 specializes in mathematical and coding challenges, reasoning-heavy tasks. Here's a comparison of their capabilities, speed, and cost. The details: • Reasoning Capabilities: OpenAI o1: Designed for deep reasoning through a "chain of thought" process, excelling in tasks like advanced math, coding, and logic-based queries. It breaks down problems step by step, improving accuracy in complex scenarios. GPT-4o: While proficient in handling general tasks, GPT-4o lacks the same level of reasoning depth, making it better suited for more straightforward, quick-response tasks. • Multimodal Functionality: GPT-4o: A powerhouse in multimodal tasks, processing text, speech, and video inputs seamlessly. Its integrated neural network makes it ideal for real-time applications like voice assistants and content creation tools. OpenAI o1: Limited to text-based tasks, lacking multimodal support, and slower due to its focus on detailed problem-solving. • Speed and Cost: GPT-4o: Optimized for speed and affordability, it processes tasks faster and at a lower cost, ideal for applications requiring quick responses. OpenAI o1: Trades speed for reasoning depth, resulting in slower, more expensive operations. The o1-preview model, for instance, costs up to $26 per million tokens, compared to GPT-4o's $5. • Multilingual Performance: OpenAI o1: Outperforms GPT-4o in multilingual tasks, particularly in less-resourced languages like Bengali and Arabic, thanks to its enhanced language understanding. GPT-4o: Still performs well in multilingual settings, but lags behind o1 in handling more linguistically diverse or complex scenarios. Why it matters: The decision between GPT-4o and OpenAI o1 depends on your needs. For general, multimodal tasks with a focus on speed and cost, GPT-4o is the clear winner.

How important is multi-prompt chaining for you? For example, if I'm using AI to write a blog post, I might have one prompt create the structure and then the next prompt execute on it. Or, another example, if determining branding, one to narrow in on the target market's dreams and another to examine how to help them achieve their dreams. Do you do this? If so, for what? And do you use orchestration/automation tools for this? Would you like to?

Lots of bots and inactive members here. Please reply with "hi" so we can remove all the bots inactive members. This week I'd love to challenge you to post an AI workflow, tool, news you find interesting. Cheers

It's been a minute everyone. I'm nearly settled in Toronto, then we'll reignite this community with a BANG! In the meanwhile, let us know what you're focus is for Q3 and Q4 this year. What do you hope to achieve?