Day 73 of 100 Days of AI
Today I continued working on the Youtube review agent app project idea but I’m having issues with some of CrewAI tools. Once I resolve this I’ll have a better update.
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Prompt Engineering: A Surprising Switching Cost of Large Language Models
I've been working on some exceptionally long LLM prompts for a couple of projects at work. I've noticed a fascinating phenomenon: A prompt that works well with one model can diverge in performance when applied to another. This presents switching costs for developers and businesses. You
A Goldilocks Introduction to AI Agents: Opportunities, Challenges, and Everyday Impact
AI agents have quickly evolved from obscure technical experiments to mainstream buzz. In the last 18 months, new automation capabilities have captured the imagination of entrepreneurs and established organizations alike. While it’s possible that we’re in another AI bubble, the early adopters of AI agents are reporting impressive
Open Problems (& Opportunities) for AI: Summary Notes from the Conference
Last week I attended the Algorithmic Innovation & Entrepreneurship Summit on Open Problems for AI. That’s a bit of a mouthful but in essence, it was a 2-day conference covering the challenges and opportunities for AI over the next 5 years. Day 1 was focussed on algorithms and AI
The Software Engineer is Dead, Long Live the Software Engineer!
An undeniable killer use case for large language models is code generation. It’s already helping software developers write code up to twice as fast and with more delight. As LLM models improve with each release, they can write better software and handle more complex architectures at a fraction of