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Wolfram is the company where computation meets knowledge. A leader in scientific and technical innovation, Wolfram continues to build toward a future where sophisticated computation and knowledge-based programming are universally accessible. Combined, the new Wolfram Language, Wolfram Engine and Wolfram Cloud will make possible a computable model of the world—in essence, a global brain. Wolfram is the creator of Mathematica, the world’s foremost technical computing program; Wolfram|Alpha, the widely used computable knowledge engine; and Wolfram Notebooks, the ultimate environment for technical workflows combining literate programming and interactive publishing on desktop, web and mobile in one unified system. Computation. Knowledge. Content. Interaction. Infrastructure.

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LLM Tech and a Lot More: Version 13.3 of Wolfram Language and Mathematica

Published Jun 28, 2023

Today we’re launching Version 13.3 of Wolfram Language and Mathematica—both available immediately on desktop and cloud. It’s only been 196 days since we released Version 13.2, but there’s a lot that’s new, not least a whole subsystem around LLMs. … »

Introducing Chat Notebooks: Integrating LLMs into the Notebook Paradigm

Published Jun 8, 2023

We originally invented the concept of “Notebooks” back in 1987, for Version 1.0 of Mathematica. And over the past 36 years, Notebooks have proved to be an incredibly convenient medium in which to do—and publish—work (and indeed, I, for example, have created hundreds of thousands of them). And, yes, eventually … »

Prompts for Work & Play: Launching the Wolfram Prompt Repository

Published Jun 8, 2023

Prompts are how one channels an LLM to do something. LLMs in a sense always have lots of “latent capability” (e.g. from their training on billions of webpages). But prompts—in a way that’s still scientifically mysterious—are what let one “engineer” what part of that capability to bring out. … »

Expand Your Understanding of Statistics with Wolfram Language

Published Jun 6, 2023

Statistics is the mathematical discipline dealing with all stages of data analysis, from question design and data collection to analyzing and presenting results. It is an important field for analyzing and understanding data from scientific research and industry. Data-driven decisions are a critical part of modern business, allowing companies to … »

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