Explores the gap between generative AI's perceived quality in open-ended play and its practical effectiveness for specific, goal-oriented tasks.
A developer's monthly curated list of tech resources, covering databases, LLM performance, AI in development, and microservices.
A curated list of resources for learning Generative AI and Prompt Engineering, including guides, tutorials, and documentation from OpenAI, DeepLearning.AI, and Microsoft.
A comprehensive guide to Meta's LLaMA 2 open-source language model, covering resources, playgrounds, benchmarks, and technical details.
Explores the difference between rigorous prompt engineering and amateur 'blind prompting' for language models, advocating for a systematic, test-driven approach.
A satirical look at AI development and government funding, imagining a fictional 'Ministry of Silly Models' in the UK.
