MLOps

模型部署、评估与运维

显示 169-192 / 共 2092 个技能

gptq

majiayu000

Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.

MLOps 691 5个月前

verl-rl-training

majiayu000

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

自动化 691 5个月前

sparse-autoencoder-training

majiayu000

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

自动化 691 5个月前

rwkv-architecture

majiayu000

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

MLOps 691 4个月前

nanogpt

majiayu000

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

自动化 691 5个月前

pyvene-interventions

majiayu000

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

MLOps 691 5个月前

evaluator

SimHacker

Independent assessment without debate context — adversarial loop prevents gaming

代码生成 60 9个月前

3d-web-experience

benjaminasterA

"Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ..."

数据处理 420 8个月前

wait

elie222

Pause execution for a user-specified duration

CLI 工具 1.3万 8个月前

step-by-step

elie222

Execute tasks one step at a time with user confirmation

MLOps 1.3万 8个月前

thinking-model-router

tjboudreaux

When unsure which thinking skill fits, map domain and problem type, then return NONE or one primary skill by default (at most three complementary).

调试 1664 2个月前

thinking-model-combination

tjboudreaux

When one mental model leaves a material blind spot on a multi-domain or high-stakes problem, sequence complementary models with named roles and a conflict rule.

金融 1664 3个月前

adding-models

letta-ai

Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.

代码生成 3696 10个月前

azure-openai-2025

JosiahSiegel

Azure OpenAI Service 2025 models including GPT-5, GPT-4.1, reasoning models, and Azure AI Foundry integration

云服务 59 9个月前

dbs-diagnosis

Pluviobyte

dontbesilent 商业模式诊断。两种模式：问诊（消解你的问题）和体检（拆解你的商业模式）。触发方式：/dbs-diagnosis、/问诊、「帮我看看商业模式」「诊断一下我的业务」「我有个商业问题」 Business model diagnosis using dontbesilent's ontological framework. Two modes: consultation (dissolve your question) and checkup (analyze your business model). Trigger: /dbs-diagnosis, "diagnose my business model", "I have a business question"

MLOps 1671 2个月前

security-awareness-training

Ed1s0nZ

安全意识培训的专业技能和方法论

MLOps 8001 9个月前

runwayml

Generate AI videos, images, and audio with Runway API. Use when generating video from images, text-to-video, video-to-video, character performance, text-to-image, text-to-speech, sound effects, or voice processing with Runway.

自动化 74 8个月前

hermes-atropos-environments

NousResearch

Build, test, and debug Hermes Agent RL environments for Atropos training. Covers the HermesAgentBaseEnv interface, reward functions, agent loop integration, evaluation with tools, wandb logging, and the three CLI modes (serve/process/evaluate). Use when creating, reviewing, or fixing RL environments in the hermes-agent repo.

API 开发 25.7万 5个月前