InfoWorld

Meta shows structured prompts can make LLMs more reliable for code review

A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...
GitHub

amplihack-rs: Rust Core Runtime for Deterministic Infrastructure

What this is: A complete execution specification for rewriting amplihack's deterministic infrastructure layer from Python to Rust. Read this page section-by-section as you work — don't try to load ...
GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

[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 ...
marktechpost

A Coding Guide to Instrumenting, Tracing, and Evaluating LLM Applications Using TruLens and OpenAI Models

In this tutorial, we focus on building a transparent and measurable evaluation pipeline for large language model applications using TruLens. Rather than treating LLMs as black boxes, we instrument ...