--- title: Conversational LLM Evaluations in Minutes with NVIDIA... description: NVIDIA's nel-assistant is an agent skill for the NeMo Evaluator library that replaces manual YAML configuration for LLM evaluations with natural language... canonical: https://daily.dev/posts/conversational-llm-evaluations-in-minutes-with-nvidia-nemo-evaluator-agent-skills-ewmza9ujj twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Conversational LLM Evaluations in Minutes with NVIDIA NeMo Evaluator Agent Skills | daily.dev og:description: NVIDIA's nel-assistant is an agent skill for the NeMo Evaluator library that replaces manual YAML configuration for LLM evaluations with natural language... og:url: https://daily.dev/posts/conversational-llm-evaluations-in-minutes-with-nvidia-nemo-evaluator-agent-skills-ewmza9ujj og:image: https://api.daily.dev/og/posts/EwMzA9UJJ.png og:image:alt: Conversational LLM Evaluations in Minutes with NVIDIA NeMo Evaluator Agent Skills og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Conversational LLM Evaluations in Minutes with NVIDIA NeMo Evaluator Agent Skills **[Hugging Face](https://daily.dev/sources/huggingface)** · 7 min read · 1 upvotes · 0 comments ## Summary NVIDIA's nel-assistant is an agent skill for the NeMo Evaluator library that replaces manual YAML configuration for LLM evaluations with natural language conversation. Instead of writing 200+ line config files, developers describe their evaluation needs in plain language inside Cursor or other agentic IDEs. The skill handles three phases: configuration (asking five targeted questions and auto-researching model cards for optimal parameters like temperature, top_p, and tensor parallelism), validation and refinement (filling in remaining unknowns and supporting per-task overrides), and staged execution with dry run, smoke test, and full run modes. It uses template-based YAML generation rather than free-form generation to avoid syntax errors and hallucinated flags. The skill is open-source and ships with NeMo Evaluator 26.01+. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Production-Ready LLMs Made Simple with the NeMo Agent Toolkit](https://daily.dev/posts/production-ready-llms-made-simple-with-the-nemo-agent-toolkit-g5ni2r1iw) · Towards Data Science · 2 upvotes · 0 comments - [Building an Interactive AI Agent for Lightning-Fast Machine Learning Tasks](https://daily.dev/posts/building-an-interactive-ai-agent-for-lightning-fast-machine-learning-tasks-58tcuc9h8) · NVIDIA Developer · 0 upvotes · 0 comments - [Run Multimodal Reasoning Agents with NVIDIA Nemotron on vLLM](https://daily.dev/posts/run-multimodal-reasoning-agents-with-nvidia-nemotron-on-vllm-vumht6rln) · vLLM · 0 upvotes · 0 comments - [Beyond Semantic Similarity: Introducing NVIDIA NeMo Retriever’s Generalizable Agentic Retrieval Pipeline](https://daily.dev/posts/beyond-semantic-similarity-introducing-nvidia-nemo-retriever-s-generalizable-agentic-retrieval-pipe-3dknsiul1) · Hugging Face · 2 upvotes · 0 comments - [How to Run an Autoresearch Workflow with RL Agent Skills and NVIDIA NeMo](https://daily.dev/posts/how-to-run-an-autoresearch-workflow-with-rl-agent-skills-and-nvidia-nemo-wki2g3ref) · NVIDIA Developer · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#llm](https://daily.dev/tags/llm), [#nvidia-nemo](https://daily.dev/tags/nvidia-nemo), [#vllm](https://daily.dev/tags/vllm) [View this post on daily.dev](https://daily.dev/posts/conversational-llm-evaluations-in-minutes-with-nvidia-nemo-evaluator-agent-skills-ewmza9ujj) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Conversational LLM Evaluations in Minutes with NVIDIA NeMo Evaluator Agent Skills","url":"https://daily.dev/posts/conversational-llm-evaluations-in-minutes-with-nvidia-nemo-evaluator-agent-skills-ewmza9ujj","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/conversational-llm-evaluations-in-minutes-with-nvidia-nemo-evaluator-agent-skills-ewmza9ujj"},"datePublished":"2026-03-06T18:57:26.125Z","dateModified":"2026-10-14T02:30:08.800Z","description":"NVIDIA's nel-assistant is an agent skill for the NeMo Evaluator library that replaces manual YAML configuration for LLM evaluations with natural language...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/28a88622b2f3280962b03d88194c6df9?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/28a88622b2f3280962b03d88194c6df9?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Hugging Face","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hugging Face","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f1f55c67d81a4330acf5b90b26b0c8e1","url":"https://daily.dev/sources/huggingface"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/conversational-llm-evaluations-in-minutes-with-nvidia-nemo-evaluator-agent-skills-ewmza9ujj","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,llm,nvidia-nemo,vllm","timeRequired":"PT7M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hugging Face","item":"https://daily.dev/sources/huggingface"},{"@type":"ListItem","position":3,"name":"Conversational LLM Evaluations in Minutes with NVIDIA NeMo Evaluator Agent Skills"}]} ```