Combining AI and Human Work 🤖 — with Marco Trombetti
Refactoring Podcast
The Evolution of AI in Translation
This chapter discusses the historical development of AI in language translation, tracing advancements from early models to modern transformers. It highlights the introduction of the AI translation model, Lara, which combines accuracy-focused and context-driven approaches, thereby enhancing user interaction. Additionally, the chapter explores the challenges of scaling AI models, the implications for funding and resources, and the potential for breakthroughs in artificial general intelligence.
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