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Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of the most exciting things to follow. Given that PyTorch’s popularity was due to its “Pythonic” nature, its ease of use, and its line-by-line (a.k.a., eager) execution, the success of a just-in-time (JIT) graph compilation mode should not have been taken […]
The post Maximizing AI/ML Model Performance with PyTorch Compilation appeared first on Towards Data Science.
The future will arrive with or without our guardrails. We must design AI’s structures now for a future of abundance rather than disruption.
What if the output of a measure mustn’t be above a specific limit? How can we ensure that the total is calculated correctly? This piece is about correctly calculating and summarizing such output.
The post How to Correctly Apply Limits on the Result in DAX (and SQL) appeared first on Towards Data Science.
Improve your LLM by optimizing its context
The post How to Create Powerful LLM Applications with Context Engineering appeared first on Towards Data Science.
On this episode of Uncanny Valley, we dig into WIRED’s latest—from crude deportation memes to GPT-5’s negative reception.
80x Faster Python? Discover How One Line Turns Your Code Into a GPU Beast!
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Apply these 3 important lessons from the top minds in AI for your own professional success.
See how Googlers are using tools like Gemini and Imagen to save time, spark new ideas and build more helpful products.
In classification models , failure occurs when the model assigns the wrong class to a new data observation; that is, when its classification accuracy is not high enough over a certain number of predictions.
NumPy is one of the most popular Python libraries for working with numbers and data.
Learn about five handy Python features that many people miss but can make your data science work easier.
The following is Part 2 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here. Great context engineering strikes a balance—include everything the model truly needs but avoid irrelevant or excessive detail that could distract it (and drive up cost). As Andrej Karpathy described, context […]
Parents, teachers, and experts have big opinions about the impacts of AI on young people and education. But what do the students themselves say?
Since the start of the AI boom, teachers have been tasked with figuring out if LLMs are helpful tools or a cheat code. This is how they’re bringing AI to their curricula.
For years, smartphones and computers have threatened to erase writing by hand. Would that be so bad?
In 1943, while the world’s brightest physicists split atoms for the Manhattan Project, the American psychologist B.F. Skinner led his own secret government project to win World War II. Skinner did not aim to build a new class of larger, more destructive weapons. Rather, he wanted to make conventional bombs more precise. The idea struck…
Between homeschool provisions in the One Big Beautiful Bill and Trump’s attempts to gut the Department of Education, teaching kids looks different now. Silicon Valley’s answer? Microschools.
From calculators to ChatGPT, the introduction of new technology into schools has long inspired frenzied discourse: Will it revolutionize the system or rot kids’ brains? It often does neither.
GPT-5 makeover, AI scam risk, fake cheap AI, HTC glasses, Apple lags, and more...
AI taps out, raw OpenAI model, Brockman on AGI, Altman’s next dream, and more...
Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional approaches that rely on rare spin-orbit interactions, this method uses magnetic interactions—common in many materials—to create robust topological excitations. Combined with a new computational tool for finding such materials, this breakthrough could pave the way for practical, disturbance-resistant quantum computers.
Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.”
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.
Private pocket AI, AI glasses, robot roommates, AI age checks, OpenAI podcast, and more...
Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.
This week on Uncanny Valley, we talk about one of the most notorious American corporations. So what does Palantir actually do?
In this post, we discuss Amazon Bedrock AgentCore Gateway, a fully managed service that revolutionizes how enterprises connect AI agents with tools and services by providing a centralized tool server with unified interface for agent-tool communication. The service offers key capabilities including Security Guard, Translation, Composition, Target extensibility, Infrastructure Manager, and Semantic Tool Selection, while implementing sophisticated dual-sided security architecture for both inbound and outbound connections.
Software engineers are finding that OpenAI’s new GPT-5 model is helping them think through coding problems—but isn’t much better at actual coding.
In a traditional SDLC, a lot of time is spent in the different phases researching approaches that can deliver on requirements: iterating over design changes, writing, testing and reviewing code, and configuring infrastructure. In this post, you learned about the experience and saw productivity gains you can realize by using Amazon Q Developer as a coding assistant to build a scalable MERN stack web application on AWS.