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In the field of natural language processing (NLP), semantic search focuses on understanding the context and intent behind queries, going beyond mere keyword matching to provide more relevant and contextually appropriate results. This approach relies on advanced embedding models to convert text into high-dimensional vectors, capturing the complex semantics of language.

Mojo as a language offers three main benefits, namely the 3 P’s: Performance, Programmability and Portability. It enables users to write fast code, do so easier than many alternative languages, and allows code to be run across different CPU platforms, with GPU support on the roadmap.

In this blog post, we introduce the MAX Engine C API, gradually building awareness of its capabilities. The C API enables the integration of the MAX Engine into high-performance application code, facilitating running inference with models from PyTorch, TensorFlow and ONNX suitable for environment that does not require Python dependencies.

March 14th aka 3/14 or 3.14 is known as $\pi$ Day, and it honors the mathematical constant $\pi$ (pi), which represents the ratio of a circle's circumference to its diameter. On this special day, I wanted to dedicate a blog post to the beauty of mathematics, numerical methods, $\pi$, and Mojo. So join me on this journey as I implement a fast vectorized Monte Carlo approximation method of calculating $\pi$. Happy $\pi$ Day!

MAX Engine is a high-performance AI compiler and runtime designed to deliver low latency, and high-throughput inference for AI applications. We've shared how you can get started quickly with MAX in this getting started guide, and how you can deploy MAX Engine optimized models as a microservice using MAX Serving.

MAX Developer Edition preview is now available to developers worldwide and ICYMI, feel free to check out our getting started with MAX blog post. Today, I’d like to dive a little deeper and show how to build an end-to-end application using MAX.

When we started Modular, building a programming language wasn't our goal, it ended up being a solution to a set of problems. Specifically, as we were building our platform to unify the world’s ML/AI infrastructure, we realized that programming across the entire stack was too complicated.

Today we’re thrilled to announce that MAX Developer Edition is now available in preview for developers worldwide! 🥳🎉. In this developer blog post, we'll take an in-depth look at MAX, its key features and capabilities, and how to use it to deploy your first MAX optimized model. Using code examples we’ll illustrate its benefits, cover key concepts, and share additional resources to continue your MAX journey.

Modular was founded on the vision to enable AI to be used by anyone, anywhere. We have always believed that to achieve this vision, we must first fix the fragmented and disjoint infrastructure upon which AI is built today. As we said 2 years ago, we imagine a different future for AI software, one that rings truer now than ever before

Double underscore (dunder) methods, also known as special methods in Mojo🔥 are used to define how objects behave in specific situations. Mojo🔥 is a member of the Python family and it embraces Python's dunder method syntax and extends it in new ways.