A practical guide to the engineering principles and trade-offs involved in training a small language model from scratch on a local machine, based on a workshop by Angelos Perivolaropoulos from ElevenLabs.
Exploring the evolution of AI, this summary breaks down the Data-Information-Knowledge-Wisdom hierarchy, revisits past predictions about AI's limits that have since been surpassed—such as reasoning and creativity—and delves into current challenges like hallucinations, AGI, and sustainability. It concludes by framing a collaborative future where humans define the 'what' and 'why,' while AI executes the 'how'.