Sakana Fugu vs. LLM Council: Two Very Different Bets on Multi-Model Intelligence
Inside the new era of multi-model AI — how Sakana Fugu's learned coordinator and Karpathy's LLM Council solve the same problem from opposite ends of the stack
#llm
Posts tagged #llm
AI Agents, Multi-Agent Systems & LLM Council: A Practitioner's Guide to Enterprise Agentic AI
From single-shot prompts to autonomous deliberation — architecture patterns, maturity model, and implementation guidance from two decades of enterprise consulting
Toolformer Explained: How AI is Teaching Itself to Use the Software World
Introduction We are living in a strange era of AI where a model can write a convincing Shakespearean sonnet in seconds but might confidently tell you that 42 multiplied by 8 is 350. This "paradox of competence" happens because Large Language Models (...
XML vs JSON in Prompt Engineering: A Follow-Up Experiment
In my previous article, “XML Is Making a Comeback in Prompt Engineering — And It Makes LLMs Better”, I argued that structured prompts—especially XML-style prompts—offer advantages as prompt engineering matures into a production-grade discipline. Fran...
XML Is Making a Comeback in Prompt Engineering — And It Makes LLMs Better
Introduction: Prompt Engineering and Its Evolution Prompt engineering is the practice of designing inputs to Large Language Models (LLMs) in a way that reliably produces accurate, safe, and useful outputs. While early experimentation focused on natur...
Getting Started with OpenAI API in Python: A Step-by-Step Guide
From Zero to Hero: A Beginner's Guide to Using the OpenAI API with Python
