99% of People Are Using ChatGPT Wrong
🔗 Link do vídeo: https://www.youtube.com/watch?v=Ym-iMJ-sds0
🆔 ID do vídeo: Ym-iMJ-sds0
📅 Publicado em: 2025-10-29T15:04:20Z
📺 Canal: AI LABS
⏱️ Duração (ISO): PT15M45S
⏱️ Duração formatada: 00:15:45
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– Views: 3.521
– Likes: 109
– Comentários: 12
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LLMs are transforming how we work with AI like ChatGPT, Gemini, Claude, and x ai. Learn how to prompt smarter, use thinking models, manage context, leverage multimodal input, and unlock advanced tools to get the most out of today’s models.
Models have become smarter, faster, and more capable than ever — but most people are still not using them correctly. In this video, we break down how LLMs actually think, how you can communicate with them effectively, and how to maximize their strengths across real workflows.
We start with fundamentals: how clearer and more structured prompting leads to better answers, improved productivity, and more control over your output. You’ll learn why each model performs differently — whether it’s ChatGPT for creative tasks, Claude for code, Gemini for deep research and Google product integrations — and how to choose the right model for each job.
We then explore “thinking models” — the part of AI that enables reasoning, ReAct, and chain-of-thought to solve complex problems step by step. Whether you enable thinking mode or let the model detect complexity automatically, this section shows how to unlock deeper intelligence.
Next, we dive into context windows — how memory works, how information falls out of attention in long chats, and how to avoid repetition and loss of quality by resetting context or starting fresh conversations.
From there, we move into multimodality: using PDFs, links, images, and voice inputs to guide your AI more accurately. We also talk about personalization and memory features, helping the model remember your preferences and deliver responses aligned with your life, work, and style.
We go beyond everyday use by introducing Projects — where long-term work, files, roles, and system instructions stay organized so you don’t waste time repeating yourself. This drastically improves consistency in writing, coding, planning, and brainstorming.
Then we cover advanced tools like Deep Research for more detailed answers, and Canvas for seamless collaborative editing, prototyping, and version control.
Finally, we explore powerful creative and developer-focused features: integrated image generation, code execution, CLIs from ChatGPT, Gemini, and Claude — giving you a complete productivity toolkit powered by AI.
If you want to truly understand how to harness LLMs to their full potential — this is the video you’ve been waiting for.