Personalised AI: a proposal for proactive, interview-based context generation
An architecture proposal for generating personalised AI context through deliberate interview-driven workflows rather than passive data collection.
5 min read
5 articles tagged Open Source.
An architecture proposal for generating personalised AI context through deliberate interview-driven workflows rather than passive data collection.
Test prompts and notes exploring cultural bias, censorship, and worldview differences across Western and Eastern large language models.
Planning notes for a multi-subagent system that turns AI code generation into structured learning opportunities, not just output.
Notes and resources on the pain points of MCP adoption and why consolidation through gateways and connectors matters.
A script for fine-tuning OpenAI's Whisper speech recognition models using Modal's serverless GPU infrastructure.