Optimizing PyTorch Model Inference on CPU
Flyin’ Like a Lion on Intel Xeon The post Optimizing PyTorch Model Inference on CPU appeared first on Towards Data Science.
Flyin’ Like a Lion on Intel Xeon The post Optimizing PyTorch Model Inference on CPU appeared first on Towards Data Science.
Pixi makes python environment management simple, consistent, and portable.
New York’s future does not lie in further centralization or state control. Its vitality has always derived from individual freedom, entrepreneurial energy, and the rule of law. The Big Apple became great because it allowed people to build, innovate, and prosper—not because government directed them.
Author(s): Sayan Chowdhury Originally published on Towards AI. Understanding the OG Perceptron Neural networks look complex from the outside, but at their core they are built from one simple unit. This unit is called the perceptron. The OG 😀The article explains the perceptron, the simplest form of a neural network, which serves as a tiny decision maker by taking a set of inputs to decide between two outcomes. It discusses how perceptrons inspired modern deep learning systems, focusing […]
Disney says that alongside the agreement, it will “become a major customer of OpenAI,” as it will use its APIs to build new products, tools, and experiences, including for Disney+.
In January this year, Lenovo announced the world’s first rollable PC, the Lenovo ThinkBook Plus Gen 6. The company took the stage at CES 2025 to reveal it and later made it available to the general public in June. Although the launch price was set for $3499, it’s now down by $200 and available via the Lenovo Store. For those who don’t know, that laptop comes with a 14-inch OLED panel that stretches upward into a tall 16.7-inch […]
Reducing total cost of ownership (TCO) is a topic familiar to all enterprise executives and stakeholders. Here, I discuss optimization strategies in the context of AI adoption. Whether you build in-house solutions, or purchase products from AI vendors. The focus is on LLM products, featuring new trends in Enterprise AI to boost ROI. Besides the technological aspects, I also discuss the human aspects. I discussed the topic at a recent webinar. You can watch the recording, here. What is […]
What comes after Transformers? Google Research is proposing a new way to give sequence models usable long term memory with Titans and MIRAS, while keeping training parallel and inference close to linear. Titans is a concrete architecture that adds a deep neural memory to a Transformer style backbone. MIRAS is a general framework that views most modern sequence models as instances of online optimization over an associative memory. Why Titans and MIRAS? Standard Transformers use attention over a […]
ElevenLabs has made a name for itself building realistic AI voices. What started as two Polish engineers annoyed by terrible movie dubbing has grown into a profitable company now valued at $6.6 billion, doubling from just nine months ago. The company recently announced a $100 million tender offer led by Sequoia and ICONIQ, with participation from a16z and others, as […]
Everyone talks about LLMs—but today’s AI ecosystem is far bigger than just language models. Behind the scenes, a whole family of specialized architectures is quietly transforming how machines see, plan, act, segment, represent concepts, and even run efficiently on small devices. Each of these models solves a different part of the intelligence puzzle, and together they’re shaping the next generation of AI systems. In this article, we’ll explore the five major players: Large Language Models (LLMs), Vision-Language Models […]