Founder | Agentic AI... • 18d
Completely agree. Generic replies defeat the purpose of using AI. Clearer prompts and better model tuning can make chatbots more direct, context-aware, and actually useful. The real value comes from nuanced, honest responses, not default compliments.
Software Developer • 1y
Hello everyone. I've spent the last 18 months working on Generative AI, and I've learned a thing or two about building effective chatbots. My own chatbot has been used by thousands of people, and I've also created AI agents for businesses. But here's
See MoreAI Deep Explorer | f... • 8m
"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin
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Cappricio Securities • 1y
I personally find existing Chatbots to be a little overrated. They're fantastic for simple, straightforward tasks like ordering a pizza, but when it comes to more complex or nuanced conversations, they can struggle. This can make them feel a bit over
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Building Bracket and... • 1m
Hey founders, Here are some uncomfortable truths we tend to ignore about why founders fail: 85% of founders make decisions based on blind spots — leading to poor strategy or money loss 77% of failed founders focused too much on to-dos and task com
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