Stanford Just Killed Prompt Engineering With 8 Words
I asked ChatGPT to tell me a joke about coffee. Same joke. Every time. I changed the wording. I raised the temperature. I added creative instructions. Nothing c...
I asked ChatGPT to tell me a joke about coffee. Same joke. Every time. I changed the wording. I raised the temperature. I added creative instructions. Nothing c...
Large language models have transcended their original functions of summarizing documents and composing emails. These advanced systems now drive AI agents that e...
The landscape of AI agent development is shifting fast. We’ve moved beyond prototyping single‑turn chatbots. Today, organizations are deploying sophisticated, a...
!Cover image for From Prompts to Autonomous Systems: What the Google & Kaggle AI Agents Course Changed for Me by Kaukab Farrukhhttps://media2.dev.to/dynamic/ima...
Introduction: The AI Competition Intensifies The artificial intelligence landscape has entered a critical phase of competitive acceleration. OpenAI's announcem...
The landscape of AI agent development is shifting fast. We’ve moved beyond prototyping single‑turn chatbots. Today, organizations are deploying sophisticated, a...
What is Prompt Engineering? And how does it make or break AI platforms? Prompt engineering is the discipline of designing instructions that control AI behavior...
!Cover image for Build Your First ADK Agent Workforcehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2F...
Learning Reflections – Google AI Agents Writing Challenge The AI Agents Intensive course was a transformative journey, shifting my perspective from viewing a L...
Large Language Models LLMs changed the world — but Retrieval‑Augmented Generation RAG is what makes them truly useful in real‑world applications. Why RAG Is Bec...
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decen...
Overview The Ablation Technique for Code Generation is a methodology used to analyze and improve code‑generation models by systematically removing, disabling,...