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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Neuml Txtai RAG Pipeline
- Workflow:Alibaba ROLL DPO Training Pipeline
- Workflow:Huggingface Datatrove Dataset Tokenization
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Langchain ai Langchain Release Process
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:Neuml Txtai Semantic Search
- Workflow:Openai Evals Running an eval set
Principles
- Principle:Ggml org Ggml Tensor Context Management
- Principle:Huggingface Datatrove Document Filtering Framework
- Principle:Arize ai Phoenix Client Initialization
- Principle:AUTOMATIC1111 Stable diffusion webui Hypernetwork architecture
- Principle:Treeverse LakeFS Java SDK API Operations
- Principle:MaterializeInc Materialize Release Prerequisite Verification
- Principle:Microsoft Autogen Team Deployment
- Principle:Triton inference server Server Dynamic Batching Testing
- Principle:OWASP Www project top 10 for large language model applications Mitigation Gap Analysis
- Principle:OpenBMB UltraFeedback Model Loading
Implementations
- Implementation:Lance format Lance JNI BlockingDataset
- Implementation:Lance format Lance Commit Compaction
- Implementation:Microsoft Playwright Public Protocol Types
- Implementation:OWASP Www project top 10 for large language model applications FeedbackGenerator Generate
- Implementation:Ggml org Ggml Cpu vec ops
- Implementation:Facebookresearch Habitat lab AppStateTutorial
- Implementation:Ggml org Llama cpp Grammar Header
- Implementation:Open compass VLMEvalKit BMMR Grade
- Implementation:Helicone Helicone GetUsageProcessor
- Implementation:Infiniflow Ragflow TestingResult Component
Heuristics
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Marker Inc Korea AutoRAG Empty Result Fallback
- Heuristic:PacktPublishing LLM Engineers Handbook Token Window Safety Margin
- Heuristic:Zai org CogVideo DeepSpeed Checkpoint Conversion Tips
- Heuristic:MarketSquare Robotframework browser MacOS Sonoma Startup Delay
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
Environments
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Datahub project Datahub Docker Runtime