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 ...
A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...
[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 ...
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 ...
Abstract: Many works have recently proposed the use of Large Language Model (LLM) based agents for performing ‘repository level’ tasks, loosely defined as a set of tasks whose scopes are greater than ...
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