TechniqueRLHF / Alignment2 recent entries11 Apr 2026All ToolsAuto-generated index of all tools mentioned across the wiki.→11 Apr 2026All CompaniesAuto-generated index of all companies mentioned across the wiki.
TechniqueRAG5 recent entries11 Apr 2026All ToolsAuto-generated index of all tools mentioned across the wiki.→
TechniqueAgents8 recent entries11 Apr 2026All CompaniesAuto-generated index of all companies mentioned across the wiki.→18 Aug 2026MLPerf Client v2.0 Expands AI PC Benchmarking with Image Generation and Agentic AINew benchmark categories for generative AI and agentic workflows arrive alongside updated LLM tests, as the industry standard for measuring PC AI performance evolves. The post MLPerf Client v2.0 Expan→26 Aug 2026Introducing the MLPerf End-to-End RAG Inference BenchmarkBenchmarking Retrieval-Augmented Generation End to End — from Building the Vector Database to Serving an Iterative, Multi-Hop Question-Answering Inference Pipeline The post Introducing the MLPerf End-→15 Sept 2026MLCommons Agent Reliability Profile Named a Finalist in Global Agentic Regulator HackathonThe Financial Services Working Group's flagship initiative advances to the final round of the C:>DIR Global 'Agentic Regulator' Hackathon, with winners announced September 18. The post MLCommons Agent→16 Sept 2026TensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX ThorTensorRT Edge‑LLM ran Qwen 3.6‑27B on a single NVIDIA Jetson AGX Thor and completed the MLPerf Edge Agentic benchmark in 24 min 36 s—52.33 tokens/s—which is 6.4× faster than the llama.cpp reference (2→16 Sept 2026MLCommons Sets Participation Record with New MLPerf Inference v6.1 Benchmark ResultsLatest version of the benchmark introduces two new tests for emerging AI deployment patterns, including Agentic Inference The post MLCommons Sets Participation Record with New MLPerf Inference v6.1 Be→17 Sept 2026Where the Industry Is Investing: A Look at MLPerf Inference v6.1In this analysis, MLPerf Inference Working Group chairs Miro Hodak and Frank Han break down a record field of 30 submitters and 120 systems, the arrival of agentic and end-to-end benchmarks, and what →24 Sept 2026MLPerf Training Introduces Its First LLM Post-Training BenchmarkMLPerf Training v6.1 adds an agentic reinforcement-learning workload that measures how quickly systems can teach a 397-billion-parameter language model to repair real software projects. The post MLPer
TechniqueFine-tuning4 recent entries10 Apr 2026Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure PlanningarXiv:2604.07345v1 Announce Type: cross Abstract: The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the e→11 Apr 2026All ToolsAuto-generated index of all tools mentioned across the wiki.→11 Apr 2026All CompaniesAuto-generated index of all companies mentioned across the wiki.→24 Sept 2026MLPerf Training Introduces Its First LLM Post-Training BenchmarkMLPerf Training v6.1 adds an agentic reinforcement-learning workload that measures how quickly systems can teach a 397-billion-parameter language model to repair real software projects. The post MLPer
TechniqueMultimodal3 recent entries10 Apr 2026Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure PlanningarXiv:2604.07345v1 Announce Type: cross Abstract: The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the e→11 Apr 2026All ToolsAuto-generated index of all tools mentioned across the wiki.→11 Apr 2026All CompaniesAuto-generated index of all companies mentioned across the wiki.
TechniqueSafety6 recent entries11 Apr 2026All ToolsAuto-generated index of all tools mentioned across the wiki.→11 Apr 2026All CompaniesAuto-generated index of all companies mentioned across the wiki.→21 Apr 2026Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model SafetyarXiv:2604.18487v1 Announce Type: new Abstract: The Adversarial Humanities Benchmark (AHB) evaluates whether model safety refusals survive a shift away from familiar harmful prompt forms. Starting fro→23 Sept 2026MLCommons Joins EU-Funded AIRIS Project to Build and Benchmark Next-Generation Biomedical AIStandardizing independent evaluation, fairness, and interpretability for mechanism-informed generative AI in healthcare The post MLCommons Joins EU-Funded AIRIS Project to Build and Benchmark Next-Gen→25 Sept 2026MLPerf AutomotivearXiv:2510.27065v2 Announce Type: replace Abstract: We present MLPerf Automotive, the first standardized public performance benchmark for evaluating Machine Learning systems that are deployed for AI a→5 Oct 2026MLCommons Jailbreak Benchmark v1.0arXiv:2610.02827v1 Announce Type: new Abstract: Modern AI systems are designed to refuse hazardous requests. A jailbreak is a prompt crafted to bypass those safeguards and elicit outputs that the syst