Demystifying evals for AI agents
…An LLM can flag unsupported claims and gaps in coverage but also verify the open-ended synthesis for coherence and completeness. Given the subjective nature of research quality, LLM-based rubrics should…
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People also ask
What is AutoDeploy?
Every new LLM architecture comes with its own inference challenges, from transformer models to hybrid vision language models (VLMs) to state space models (SSMs). Turning a reference implementation into a high-performance inference engine typically requires adding KV cache management, sharding weights across GPUs, fusing operations, and tuning the execution graph for specific hardware. AutoDeploy shifts this workflow toward a compiler-driven approach. Instead of requiring model authors to manually reimplement inference logic, AutoDeploy automatically extracts a computation graph from an off-the
Automating Inference Optimizations with NVIDIA TensorRT LLM AutoDeploy | NVIDIA Technical BlogHow to Minimize Game Runtime Inference Costs with Coding Agents | NVIDIA Technical Blog
…Trapping the ghost Andrej Karpathy, a founding member of OpenAI, likens working with large language models (LLMs) to summoning ghosts , an apt metaphor for LLM agents, especially ones that write code. Many…
Making Softmax More Efficient with NVIDIA Blackwell Ultra | NVIDIA Technical Blog
…AI Inference | Blackwell Ultra | cuDNN | featured | GB300 | LLMs | Tensor Cores About the Authors About Jamie Li Jamie Li is a senior technical marketing engineer at NVIDIA focused on wrangling the latest technologies…
Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog
…As agent-driven software engineering scales, human review alone is unlikely to keep pace. Consider deploying dedicated security-focused agents to monitor and audit AI-generated pull requests, flagging suspicious patterns before…
Discussions and forums
Show HN: AI agents who prevent context drift through gossip
Most multi-agent systems fail the same way: agents drift apart across handoffs. By turn 3 they are working in different realities. By turn 5 they are repeating each other's mistakes and calling it parallelism. WUPHF is a…
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Show HN: My AI agents bully each other to prevent context drift
Most multi-agent systems fail the same way: agents drift apart across handoffs. By turn 3 they are working in different realities. By turn 5 they are repeating each other's mistakes and calling it parallelism.WUPHF is an…
9
AMD CEO Lisa Su backs CPUs in Agentic AI debate as we shift closer to a 1:1 ratio between CPUs and GPUs
…AMD reported $5.8 billion revenue from its data center division in Q1 2026, driven by strong demand for EPYC processors and Instinct GPUs. CEO Dr. Lisa Su highlighted a shift toward…
How NVIDIA Extreme Hardware-Software Co-Design Delivered a Large Inference Boost for Sarvam AI’s Sovereign Models | NVIDIA Technical Blog
…This throughput is driven by the second-generation Transformer Engine, which utilizes the new NVFP4 format to provide over 2x the performance of FP8 while maintaining high model accuracy. To take advantage…
73 Seconds to Breach, 24 Hours to Patch: The Case for Autonomous Validation
…The Case for Autonomous Validation Sponsored by Picus Security May 13, 2026 08:30 AM By Sila Ozeren Hacioglu , Security Research Engineer at Picus Security. In April 2026, Anthropic released its newest…
Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community
…Grove, which enables developers to express complex inference systems in a single declarative resource, is being integrated with the llm-d inference stack for wider adoption in the Kubernetes community. Developers and…
Codex CLI felt safer than Claude Code, but it cost me my flow
Shekhar Vaidya Apr 25, 2026, 1:00 PM EDT Shekhar Vaidya is a veteran technology journalist and computer science engineer. He is the founder of TechLatest, where he has spent years providing…
So you've heard these AI terms and nodded along; let's fix that | TechCrunch
…Training ] Large language model (LLM) Large language models, or LLMs, are the AI models used by popular AI assistants, such as ChatGPT , Claude , Google’s Gemini , Meta’s AI Llama , Microsoft Copilot…