… We also present a set of prompting strategies that proved critical for eliciting high-quality, synthesizable suggestions from the LLM. Image Zoom Fig. 0: The four-phase LLM-aided HLS optimization workflow. Blue nodes are human-driven; Yellow nodes are LLM-driven. …
… AMD's Lemonade SDK For AI Promotes macOS To GA Status, ROCm 7.13 Integrated gkh clanker t1000 & gkh clanker 2000 Continue Uncovering Linux Kernel Bugs The New Linux Kernel AI Bot Uncovering Bugs Is A Local LLM On Framework Desktop + AMD Ryzen AI Max Linux May Drop Old Network Drivers Now That AI-Dr…
… The more information you can share, the better the LLM can understand what you're looking for. If you see an error message, copy-paste it and show the LLM. …
… "Because many CI/CD pipelines rely on version tags rather than pinned commits, these pipelines continued to execute without any indication that the underlying code had changed." MORE CONTEXT Telling an AI model that it's an expert programmer makes it a worse programmer Mozilla introduces cq, descri… …
… Now, with an LLM at its core, it can interpret intent more flexibly and generate its own execution plans. More specifically, we transformed individual functions into callable agents and defined them in a way that allows the LLM to invoke them as needed. …
… I’ve been playing with Google Antigravity, the Google-made IDE integrated development environment that lets Gemini and other LLMs including Claude do the coding for you, guided by your natural-language prompts. Yep, we're talking vibe coding. Google Antigravity is just one such AI-driven IDE. …
… Solution: Multi-Layer AI Approach Ropers Majeski partnered with Intel, Activeloop, and ZERO Systems to create a powerful, dependable, and more secure AI-driven solution, combining advanced hardware and data storage with a generative AI solution powered by a custom Large Language Model LLM . …
… Things that are data-driven in their entirety can't be unexpected, but that doesn't mean that AI isn't super helpful." The crux of the issue is that for a videogame to be a hit it has to offer up a new experience. …
Data Center / Cloud Deploying Disaggregated LLM Inference Workloads on Kubernetes Mar 23, 2026 By Anish Maddipoti , Sanjay Chatterjee , Rohan Varma and Ekin Karabulut Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike Disaggregated LLM inference architectures separate prefill, decode, … …
… Models have to be paired with the right software to perform optimally. vLLM, a popular inference serving framework, might work great for one model and underperform alternatives, like SGLang or TensorRT LLM, when running another. …