- Convert notebook 3 from string-based columns to class specs (dd.SamplerColumnConfig, etc.)
- Fix grammar: "is the main object is responsible" → "is the main object responsible"
- Remove stray "A" at end of URL in notebook 2
- Remove empty markdown cell in notebook 4
- Add missing data_designer.validate() call in notebook 4
- Regenerate colab notebooks from source
* docs: add deployment, performance tuning guides and streamline getting started
- Add deployment-options.md: Library vs. Microservice decision guide
- Add inference-architecture.md: Separation of concerns with LLM servers
- Add performance-tuning.md: Concurrency and batching optimization guide
- Streamline index.md: Merge installation, add quick example, simplify
- Remove quick-start.md: Content merged into welcome page
- Remove installation.md: Content merged into welcome page
- Update model docs: Add concurrency control sections and cross-references
- Update mkdocs.yml: Add new Architecture section to navigation
* docs: add tasteful emojis to new documentation pages
* docs: consolidate redundant concurrency and troubleshooting content
- Remove duplicate max_parallel_requests tables from model-configs.md and inference-parameters.md
- Remove duplicate Concurrency Control section from model-configs.md
- Simplify Concurrency Control in inference-parameters.md to link to performance-tuning.md
- Remove Troubleshooting section from inference-architecture.md (covered in performance-tuning.md)
- performance-tuning.md is now the authoritative source for tuning guidance
* Simplified doc additions
* Switched default model to nemotron 3 nano
* Addressed feedback
* Added first blog draft
* Add generation type to ModelConfig
* pass tests
* added generate_text_embeddings
* tests
* remove sensitive=True old artifact no longer needed
* Slight refactor
* slight refactor
* Added embedding generator
* chunk_separator -> chunk_pattern
* update tests
* rename for consistency
* Restructure InferenceParameters -> CompletionInferenceParameters, BaseInferenceParameters, EmbeddingInferenceParameters
* Remove purpose from consolidated kwargs
* WithModelConfiguration.inference_parameters should should be typed with BaseInferenceParameters
* Type as WithModelGeneration
* Add image generation modality
* update return type for generate_kwargs
* make generation_type a field of ModelConfig as opposed to a prop resolved based on the type of InferenceParameters
* remove regex based chunking from embedding generator
* Remove image generation for now
* more tests and updates
* column_type_is_llm_generated -> column_type_is_model_generated
* change set to list: fix flaky tests
* CompletionInferenceParameters -> ChatCompletionInferenceParameters for consistency with generation_type
* Update docs
* fix deprecation warning originating from cli model settings
* update display of inference parameters in cli list
* save prog on inference parameter
* updates for the ocnfig builder
* update cli readme
* update cli for inference parmeters
* update inference parameter names
* flip order of vars
* WithCompletion -> WithChatCompletion
* specify InferenceParamsT
* Update columns.md with EmbeddingColumnConfig info
* make generation_type a descriminator field in inference params. add configuration support for max_parallel_requests and timeout
* DRY out some stuff in field.py
* Update nomenclature. prompt tokens -> input tokens, completion tokens -> output tokens in column statistics for consistency
* Add nvidia-embedding and openai-embedding to default model configs
* Fix typo in docs
* Make generate collab notebooks
* fine-tune -> adjust
* Add example notebook showing how to use image contexts
* change 101 -> tutorial
* update _README.md with info on the new tutorial
* add reference in mkdocs.yml
* simplify vlm tutorial
* update num_records on tutorials. Update .gitignore
* update readme info
* add models module to code reference
* fix links to generated ipynb
* change vlm in example tutorial to llama4-scout
* adding basic jupytext structure
Co-authored-by: Johnny Greco <jogreco@nvidia.com>
* few fixes
* first test for ci
* adding error intentionally to check workflow behavior
* test calling from other workflows
* typo
* trying as job instead
* couple of fixes
* checking path
* trying to fix path
* wrapping up
---------
Co-authored-by: Johnny Greco <jogreco@nvidia.com>
