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https://github.com/NVIDIA-NeMo/DataDesigner
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* 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 |
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| test_init.py | ||