Category: AI

In this article, you will learn practical prompt-engineering patterns that make large language models useful and reliable for time series analysis and forecasting.

Topics we will cover include:

• How to frame temporal context and extract useful…

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions.

But common approaches that give LLMs this capability…

In this article, you will learn how to turn free-form large language model (LLM) text into reliable, schema-validated Python objects with Pydantic.

Topics we will cover include:

• Designing robust Pydantic models (including custom validators and…

A new computer modeling tool developed by an MIT Energy Initiative (MITEI) research team will help infrastructure planners working in the electricity and other energy-intensive sectors better predict and prepare for…

In this article, you will learn a clear, practical roadmap for mastering agentic AI: what it is, why it matters, and exactly how to build, deploy, and showcase real systems in 2026.

Topics we will cover include:

• Core foundations in…

Norway is the world’s largest producer of farmed Atlantic salmon and a top exporter of seafood, while the United States remains the largest importer of these products, according to the Food and Agriculture Organization….

Advancements in battery innovation are transforming both mobility and energy systems alike, according to Kurt Kelty, vice president of battery, propulsion, and sustainability at General Motors (GM). At the MIT Energy…

“MIT hasn’t just prepared me for the future of work — it’s pushed me to study it. As AI systems become more capable, more of our online activity will be carried out by artificial agents. That raises big questions:…

In this article, you will learn five practical prompt compression techniques that reduce tokens and speed up large language model (LLM) generation without sacrificing task quality.

Topics we will cover include:

• What semantic summarization is…

Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study.

Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during…