| _app | | | 152 items |
| _toctree.yml | 9.27 kB | | ed52f054 |
| advanced_rag.html | 135 kB | | 35d3936f |
| advanced_rag.md | 70.1 kB | | 1d89ae5c |
| agent_data_analyst.html | 48.2 kB | | 64b28652 |
| agent_data_analyst.md | 5.91 kB | | c8798e19 |
| agent_rag.html | 53.6 kB | | 2093efce |
| agent_rag.md | 15.6 kB | | 4a74f932 |
| agent_text_to_sql.html | 34.2 kB | | e679513f |
| agent_text_to_sql.md | 6.6 kB | | cd4d444a |
| agents.html | 47.5 kB | | 4e87e575 |
| agents.md | 11.7 kB | | e638c477 |
| analyzing_art_with_hf_and_fiftyone.html | 67.7 kB | | 63fe5415 |
| analyzing_art_with_hf_and_fiftyone.md | 19.3 kB | | bcca0012 |
| annotate_text_data_transformers_via_active_learning.html | 400 kB | | f4607f6e |
| annotate_text_data_transformers_via_active_learning.md | 296 kB | | 886605d9 |
| automatic_embedding_tei_inference_endpoints.html | 74 kB | | 79272c6b |
| automatic_embedding_tei_inference_endpoints.md | 13.3 kB | | 1ab48906 |
| benchmarking_tgi.html | 40.6 kB | | 526aea31 |
| benchmarking_tgi.md | 21.7 kB | | 32a7a140 |
| clean_dataset_judges_distilabel.html | 64.9 kB | | afeca4c4 |
| clean_dataset_judges_distilabel.md | 12.5 kB | | 455aa6f5 |
| code_search.html | 67.4 kB | | 7190f440 |
| code_search.md | 20.3 kB | | 913f7572 |
| dspy_gepa.html | 99.5 kB | | 01609991 |
| dspy_gepa.md | 25.7 kB | | e96f2996 |
| enterprise_cookbook_argilla.html | 80.8 kB | | d1e22f9f |
| enterprise_cookbook_argilla.md | 24.7 kB | | c8918b1e |
| enterprise_cookbook_dev_spaces.html | 27.4 kB | | 528b0cca |
| enterprise_cookbook_dev_spaces.md | 9.04 kB | | d29240c8 |
| enterprise_cookbook_gradio.html | 83.5 kB | | 7145f955 |
| enterprise_cookbook_gradio.md | 24 kB | | b4a25634 |
| enterprise_cookbook_overview.html | 20.8 kB | | b340eab8 |
| enterprise_cookbook_overview.md | 3.98 kB | | 252955ba |
| enterprise_dedicated_endpoints.html | 88.7 kB | | 5a501dde |
| enterprise_dedicated_endpoints.md | 25.8 kB | | 18415a28 |
| enterprise_hub_serverless_inference_api.html | 265 kB | | 6a58143e |
| enterprise_hub_serverless_inference_api.md | 19.4 kB | | c1314687 |
| faiss_with_hf_datasets_and_clip.html | 147 kB | | 06d3438f |
| faiss_with_hf_datasets_and_clip.md | 6.81 kB | | d31954f5 |
| favicon.png | 1.57 kB | | 6e06dd7b |
| fine_tune_chatbot_docs_synthetic.html | 80.5 kB | | 9c79a67e |
| fine_tune_chatbot_docs_synthetic.md | 15.6 kB | | e62afd35 |
| fine_tuning_code_llm_on_single_gpu.html | 75.3 kB | | 54edc3d7 |
| fine_tuning_code_llm_on_single_gpu.md | 23.9 kB | | 90720368 |
| fine_tuning_detr_custom_dataset.html | 614 kB | | fb4319a4 |
| fine_tuning_detr_custom_dataset.md | 38.1 kB | | bc3800b8 |
| fine_tuning_granite_vision_sft_trl.html | 130 kB | | c44c3419 |
| fine_tuning_granite_vision_sft_trl.md | 17.1 kB | | ae0b8ad2 |
| fine_tuning_llm_grpo_trl.html | 1.09 MB | | 8db49183 |
| fine_tuning_llm_grpo_trl.md | 983 kB | | 3f1b17b3 |
| fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.html | 71.8 kB | | fec4c092 |
| fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.md | 17.1 kB | | d696f7fe |
| fine_tuning_smol_vlm_sft_trl.html | 1.01 MB | | 7fad923a |
| fine_tuning_smol_vlm_sft_trl.md | 859 kB | | d92249e1 |
| fine_tuning_vit_custom_dataset.html | 145 kB | | 3419fe1b |
| fine_tuning_vit_custom_dataset.md | 13.5 kB | | 000a6da3 |
| fine_tuning_vlm_dpo_smolvlm_instruct.html | 1.97 MB | | ea090dc1 |
| fine_tuning_vlm_dpo_smolvlm_instruct.md | 1.82 MB | | bb2d6939 |
| fine_tuning_vlm_grpo_trl.html | 979 kB | | cdb3020b |
| fine_tuning_vlm_grpo_trl.md | 909 kB | | c7383bba |
| fine_tuning_vlm_mpo.html | 3.09 MB | | 4181531c |
| fine_tuning_vlm_mpo.md | 2.95 MB | | 64a5d598 |
| fine_tuning_vlm_object_detection_grounding.html | 2.08 MB | | fd1df215 |
| fine_tuning_vlm_object_detection_grounding.md | 1.62 MB | | 1267954a |
| fine_tuning_vlm_trl.html | 1.43 MB | | f5b659a0 |
| fine_tuning_vlm_trl.md | 1.26 MB | | 32ff91ef |
| finetune_t5_for_search_tag_generation.html | 105 kB | | 14e35157 |
| finetune_t5_for_search_tag_generation.md | 23.4 kB | | f1b9e29b |
| function_calling_fine_tuning_llms_on_xlam.html | 151 kB | | d2ee6c54 |
| function_calling_fine_tuning_llms_on_xlam.md | 41.7 kB | | 4364a244 |
| generate_preference_dataset_distilabel.html | 68.1 kB | | 11d5accb |
| generate_preference_dataset_distilabel.md | 21.9 kB | | 0f941e0e |
| grpo_vllm_online_training.html | 1.22 MB | | 5e811ca5 |
| grpo_vllm_online_training.md | 1.11 MB | | d4d290a0 |
| index.html | 10.1 kB | | 3f7698af |
| index.md | 1.17 kB | | d2f87ba1 |
| information_extraction_haystack_nuextract.html | 144 kB | | 97a9b046 |
| information_extraction_haystack_nuextract.md | 17.5 kB | | 7bc6434b |
| issues_in_text_dataset.html | 72.9 kB | | 13c2e563 |
| issues_in_text_dataset.md | 20.3 kB | | 50360f3a |
| labelling_feedback_setfit.html | 48.2 kB | | 2d1ff1d4 |
| labelling_feedback_setfit.md | 9.89 kB | | 231d79cd |
| llm_gateway_pii_detection.html | 49.2 kB | | 7dc049f7 |
| llm_gateway_pii_detection.md | 10.7 kB | | 561e757a |
| llm_judge.html | 52.2 kB | | ccb8ec2c |
| llm_judge.md | 12.7 kB | | 9eaf31ba |
| llm_judge_evaluating_ai_search_engines_with_judges_library.html | 207 kB | | 403d4fc8 |
| llm_judge_evaluating_ai_search_engines_with_judges_library.md | 29.4 kB | | 8e26942d |
| llms-full.txt | 17.3 MB | | 5addccb8 |
| llms.txt | 9.99 kB | | d7f76c15 |
| medical_rag_and_reasoning.html | 51 kB | | cf642d85 |
| medical_rag_and_reasoning.md | 16.8 kB | | 74c2d50b |
| mlflow_ray_serve.html | 88.5 kB | | 6dc0784e |
| mlflow_ray_serve.md | 23.8 kB | | ca21764e |
| mongodb_smolagents_multi_micro_agents.html | 58.3 kB | | 0a0b7661 |
| mongodb_smolagents_multi_micro_agents.md | 14.6 kB | | 328fe1fe |
| multiagent_rag_system.html | 980 kB | | 66bfb853 |
| multiagent_rag_system.md | 805 kB | | 4007c029 |
| multiagent_web_assistant.html | 31.6 kB | | 41b4922c |
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