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i am building a solution that will solve problems professionals face while giving effective prompts to LLMs. if you face such problems in writing prompts I will love to hear you! please comment them

People want to jump into AI fast. But you can’t skip the basics. Learn system design before AI agent frameworks. Learn data cleaning before fine-tuning. Learn APIs before MCP. Learn databases before RAG. Learn real NLP before prompts. Learn classic

The 3 Main Key Points for Excellent AI-Assisted or Generating AI Content: • Thoughtfully crafted, specific prompts • Awesome examples for the AI to learn from • A commitment to critical review and refinement Learn these you will unstoppable special

I want to learn these technologies guide me or give me a roadmap plan What are some popular online platforms for studying libraries like AI chatbot GPT, LLMS, and NLP .

After using AI for a while, here’s what I’ve learned: AI works really well when: • You know how to code • You give it clear prompts • You understand what you’re asking it to do But if you don’t: • You’ll get confused by the output • Spend hours fix

Day 3/75 Morning around 8 am: At 9 am, I got ready for work, but my laptop still wasn't repaired. So, I created some videos using AI and edited them using AI tools. By 12:30 pm, I had some meetings with clients regarding pending projects and the

Google is going to announce their new AI model I/o at 10 pm today excited?

How to Write a Great Prompt on Lovable.dev — The Goldilocks Formula (Not Too Much, Not Too Little) Most people mess up their Lovable.dev projects not because of bugs, but because their prompts are unclear. Some give the AI too little to work with. O

OpenAI spent millions if not billions developing and training LLMs. Same is for Google, Microsoft and Meta.. the only difference being they are releasing their LLMs now after the craze of AI is at its peak. But I don't understand how companies like K