NVIDIA NeMo Data Designer

NeMo Curator is an AI data-curation and post-processing tool for preparing real-world data before model training. It is used to organize, filter, and refine training data, including workflows that generate and evaluate synthetic examples.

NeMo Gym is an AI reinforcement-learning tool for defining reward functions as an alternative to supervised fine-tuning on generated golden trajectories. It is used to train models toward a target agent behavior by evaluating their generated trajectories rather than relying only on prebuilt example traces.

elastic-vectorsearch-workshop is a public workshop repository containing instructor guidance, Elasticsearch queries, Python notebooks, corpus data, and agent setup code for practical vector, lexical, hybrid, and reranked search labs. It teaches semantic retrieval with Elasticsearch embeddings, BM25 search, and hybrid retrieval using reciprocal rank fusion and MinMax-normalized linear combinations, including judgment-set evaluation and weight sweeps. Later labs connect the retriever to an LLM and Elastic Agent Builder, demonstrating how retrieval quality affects generated answers, citations, and multi-hop agent workflows. The repository includes five lab notebooks, an Instruqt track, ingestion and validation scripts, and pre-event checks for corpus behavior, inference endpoints, and the workshop environment.

Bonsai Demo is an open-source repository from Prism ML for running the Bonsai and Ternary-Bonsai language models locally. It supports 1-bit and ternary model families in several sizes, using llama.cpp or MLX across macOS Metal, Linux and Windows CUDA, Vulkan, ROCm, and CPU backends. Setup scripts download the models and binaries, while the included server and web interfaces provide local chat; the 27B models additionally support image, screenshot, and PDF input, OpenAI-style tool calls, MCP servers, configurable reasoning effort, and long-context conversations. The repository provides command-line launch scripts, model-family and size selection, and links to the corresponding Hugging Face collections and technical whitepapers.

AI-Native Workshop is a repository-based workshop for practicing AI-native software development workflows. Its curriculum covers voice coding, agent sessions, loops and measurable goals, Git worktrees, verification gates and hooks, adversarial review, and scheduled tasks. The repository includes setup skills, exercises, slides, a glossary, a facilitator guide, and an optional local `aie-coach` MCP server with seven tools for check-ins and setup scoring. Its setup workflow runs inside Claude Code and can install and verify Bun, the Codex CLI, and Git; the workshop is organized in four blocks covering voice, loops and goals, gates, and schedules.