In this article, you will learn when fine-tuning large language models is warranted, which 2025-ready methods and tools to choose, and how to avoid the most common mistakes that derail projects. Topics we will cover include: A practical decision framework: prompt engineering, retrieval-augmented generation (RAG), and when fine-tuning truly adds value. Today’s essential methods—LoRA/QLoRA, Spectrum—and…
Vibe coding, the trend of using AI to generate code by describing what you want in natural language, has been hailed as the future of programming. Coined by AI pioneer Andrej Karpathy in early 2025, the term refers to “fully giv[ing] in to the vibes, embrac[ing] exponentials, and forget[ting] that the code even exists”. In…
With the rapid advancement of generative artificial intelligence, teachers and school leaders are looking for answers to complicated questions about successfully integrating technology into lessons, while also ensuring students actually learn what they’re trying to teach. Justin Reich, an associate professor in MIT’s Comparative Media Studies/Writing program, hopes a new guidebook published by the MIT Teaching Systems…
In this article, you will learn how to use Pydantic to validate, parse, and serialize structured data in Python using type hints. Topics we will cover include: Defining core models with type coercion and clear validation errors Using optional fields, defaults, and Field constraints effectively Writing custom validators, handling nested structures, and exporting JSON Let’s…
Communication has always been one of humanity’s most defining traits, but in an AI-first world, even this core activity is being reshaped. We are moving toward a reality where AI not only assists in communication but often takes over entirely. Already, we see glimpses of this future. AI avatars can join video calls in place…
MIT Music and Theater Arts fondly remembers the legacy of Professor Emerita Jeanne Shapiro Bamberger, who passed away peacefully at home in Berkeley, California, of natural causes on Dec. 12, 2024 at the age of 100. For three decades at the Institute, Bamberger found ways to use computers to engage students and help them learn music….