This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...
L ast semester, I decided that I would no longer assign analytical papers in any of my large social science classes. This is a drastic change: mMy usual framework is that large 4-unit classes should ...
Abstract: Short-answer questions are commonly used in educational assessments, as they are often viewed as a more effective way than multiple-choice questions to determine whether students have ...
[08/05] Running a High-Performance GPT-OSS-120B Inference Server with TensorRT LLM ️ link [08/01] Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization) ️ link [07/26 ...
Learn to build high-performance LLM apps in Python! Today, it is easier than ever to put up a working AI SaaS app. However, improving the usability of the application is often a challenge, especially ...
Students in the new, experimental AI Tools for Software Development course learn how to apply a software engineering mindset to make AI tools more reliable. It took a room full of Carnegie Mellon ...
According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four ...
From data collection to ready-made datasets, Bright Data allows you to retrieve the data that matters.
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
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