Datasets:
Download web/gradyn.example/reference/site_meta.json from Qwen/RecreationBench: direct link, hf CLI and curl.
- Browser
- Download file 330 kB
-
https://huggingface.co/datasets/Qwen/RecreationBench/resolve/main/web/gradyn.example/reference/site_meta.json
- Command line
-
hf download hf://datasets/Qwen/RecreationBench/web/gradyn.example/reference/site_meta.json
-
curl -L -o site_meta.json https://huggingface.co/datasets/Qwen/RecreationBench/resolve/main/web/gradyn.example/reference/site_meta.json
330 kB
| { | |
| "domain": "gradyn.example", | |
| "difficulty": "easy", | |
| "category": "Science & Data", | |
| "total_pages": 108, | |
| "verified_pages": 81, | |
| "unverified_pages": 0, | |
| "max_depth": 3, | |
| "pages": [ | |
| { | |
| "id": "homepage", | |
| "path": "/", | |
| "title": "Distributed Deep Learning and Hyperparameter Optimization Platform | Gradyn", | |
| "depth": 0, | |
| "discoverable_from": [ | |
| "/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "about", | |
| "path": "/about/", | |
| "title": "About Gradyn | Our Team", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "apply_now", | |
| "path": "/apply-now/", | |
| "title": "Apply Now | Gradyn", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog", | |
| "path": "/blog/", | |
| "title": "Directory listing for /blog/", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/", | |
| "/project/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "careers", | |
| "path": "/careers/", | |
| "title": "Careers | Gradyn", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/", | |
| "/project/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "cdn_github_com_determined_ai_determined", | |
| "path": "/_cdn/github.com/determined-ai/determined/", | |
| "title": "Directory listing for /_cdn/github.com/determined-ai/determined/", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/", | |
| "/project/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "cla", | |
| "path": "/cla/", | |
| "title": "Gradyn Contributor Agreements | Gradyn Open Source", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "contact", | |
| "path": "/contact/", | |
| "title": "Get in Touch | Gradyn", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/", | |
| "/project/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "press", | |
| "path": "/press/", | |
| "title": "Press & News | Gradyn", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "privacy", | |
| "path": "/privacy/", | |
| "title": "Privacy Policy | Gradyn", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/", | |
| "/project/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "project", | |
| "path": "/project/", | |
| "title": "High-Performance Distributed Deep Learning at Scale | Gradyn", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "resources", | |
| "path": "/resources/", | |
| "title": "Resources | Gradyn, Inc.", | |
| "depth": 1, | |
| "discoverable_from": [ | |
| "/", | |
| "/project/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_adaptive_asha", | |
| "path": "/blog/adaptive-asha/", | |
| "title": "Adaptive ASHA Explained with a Nationwide Talent Contest | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_addressing_challenges_parallel_hyperparameter_optimization", | |
| "path": "/blog/addressing-challenges-parallel-hyperparameter-optimization/", | |
| "title": "Solving the challenges of massively parallel hyperparameter tuning at scale | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_ai_chips_in_the_real_world_recap", | |
| "path": "/blog/ai-chips-in-the-real-world-recap/", | |
| "title": "Specialized AI silicon in practice: interoperability, constraints, cost, energy efficiency, and models | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_ai_in_the_2020s_must_get_greener_and_heres_how", | |
| "path": "/blog/ai-in-the-2020s-must-get-greener-and-heres-how/", | |
| "title": "Sustainable AI Is the Defining Challenge of This Decade | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_ai_leadership_and_the_positive_impacts_on_economy_privacy_environmental_health", | |
| "path": "/blog/ai-leadership-and-the-positive-impacts-on-economy-privacy-environmental-health/", | |
| "title": "How AI Leadership Can Strengthen the Economy, Protect Privacy, and Aid the Planet | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_albert_spot_benchmark", | |
| "path": "/blog/albert-spot-benchmark/", | |
| "title": "ALBERT on Gradyn: Distributed Training with Spot Instances | Gradyn AI", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_alex_ratner_programmatic_data_labeling_machine_learning_podcast", | |
| "path": "/blog/alex-ratner-programmatic-data-labeling-machine-learning-podcast/", | |
| "title": "Marek Vance on Programmatic Data Labeling for Machine Learning | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_announcing_the_gradyn_model_registry", | |
| "path": "/blog/announcing-the-gradyn-model-registry/", | |
| "title": "Ship Models Faster With Gradyn's New Model Registry | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_announcing_the_future_of_ai_infrastructure", | |
| "path": "/blog/announcing-the-future-of-ai-infrastructure/", | |
| "title": "Introducing a new foundation for AI infrastructure | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_apis", | |
| "path": "/blog/apis/", | |
| "title": "6 Gradyn APIs Explained | Gradyn Platform", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_batch_inference_v2", | |
| "path": "/blog/batch-inference-v2/", | |
| "title": "Running Batch Inference in Gradyn Part 2: Score Trained Models with Custom Metrics | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_batch_processing_api", | |
| "path": "/blog/batch-processing-api/", | |
| "title": "Running Batch Inference on Gradyn Part 1: Computing Text Embeddings | Gradyn AI", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_building_an_enterprise_deep_learning_platform", | |
| "path": "/blog/building-an-enterprise-deep-learning-platform/", | |
| "title": "Designing an Enterprise Deep Learning Platform, Part One | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_building_an_enterprise_deep_learning_platform_2", | |
| "path": "/blog/building-an-enterprise-deep-learning-platform-2/", | |
| "title": "How to Stand Up an Enterprise Deep Learning Platform, Part Two | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_building_an_enterprise_deep_learning_platform_3", | |
| "path": "/blog/building-an-enterprise-deep-learning-platform-3/", | |
| "title": "Assembling a Production-Grade Deep Learning Stack, Part Three | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_cloud_v_onprem", | |
| "path": "/blog/cloud-v-onprem/", | |
| "title": "Picking the Right Deep Learning Infrastructure: The Cloud vs. On-Prem Debate | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_cyclegan", | |
| "path": "/blog/cyclegan/", | |
| "title": "Train CycleGan on Multiple GPUS with Gradyn | Gradyn AI", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_data_scientists_dont_care_about_kubernetes", | |
| "path": "/blog/data-scientists-dont-care-about-kubernetes/", | |
| "title": "Why Kubernetes Gets in the Way of Model Development | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_data_version_control_gradyn", | |
| "path": "/blog/data-version-control-gradyn/", | |
| "title": "Version-Controlling ML Data with DVC and Gradyn | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_dave_patterson_podcast_new", | |
| "path": "/blog/dave-patterson-podcast-new/", | |
| "title": "A Conversation With Marcus Holloway | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_deep_in_the_trenches_p1", | |
| "path": "/blog/deep-in-the-trenches-p1/", | |
| "title": "Notes from the Lab: What We're Reading Now (November 2019) | Gradyn, Inc.", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_deep_learning_tools_grad_students", | |
| "path": "/blog/deep-learning-tools-grad-students/", | |
| "title": "The Deep Learning Platform We Wish We'd Had In Grad School | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_detached_mode", | |
| "path": "/blog/detached-mode/", | |
| "title": "Detached Mode: Track metrics in Gradyn for workloads running anywhere | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_gradyn_ai_sagemaker_comparison", | |
| "path": "/blog/gradyn-ai-sagemaker-comparison/", | |
| "title": "Gradyn / Cumulus ML Comparison | Gradyn, Inc.", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gradyn_algorithmia_integration", | |
| "path": "/blog/gradyn-algorithmia-integration/", | |
| "title": "Servio and Gradyn: How to train and deploy deep learning models using the Gradyn and Servio integration | Gradyn AI", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gradyn_and_spark", | |
| "path": "/blog/gradyn-and-spark/", | |
| "title": "Building End-to-End Deep Learning with Spark, Gradyn, and Delta Lake | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gradyn_community_sync", | |
| "path": "/blog/gradyn-community-sync/", | |
| "title": "Inside Our First-Ever Gradyn Community Sync | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gradyn_hackathon", | |
| "path": "/blog/gradyn-hackathon/", | |
| "title": "Gradyn Deep Learning Hackathon – Now Open! | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_gradyn_kubeflow_comparison", | |
| "path": "/blog/gradyn-kubeflow-comparison/", | |
| "title": "Gradyn and Fluxboard: A Powerful Combination | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gradyn_on_kubernetes", | |
| "path": "/blog/gradyn-on-kubernetes/", | |
| "title": "Gradyn Now Natively Supports Kubernetes! | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_distributed_deep_learning_that_actually_works", | |
| "path": "/blog/distributed-deep-learning-that-actually-works/", | |
| "title": "Making Multi-GPU Deep Learning Training Dependable | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_ensuring_reproducibility_for_enterprise_ai_at_scale", | |
| "path": "/blog/ensuring-reproducibility-for-enterprise-ai-at-scale/", | |
| "title": "New video talk: Building Reliable Machine Learning Pipelines for Production at Scale | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_epoch_based_metrics", | |
| "path": "/blog/epoch-based-metrics/", | |
| "title": "Viewing Epoch-Based Metrics Inside the WebUI | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_faster_nlp_with_deep_learning_distributed_training", | |
| "path": "/blog/faster-nlp-with-deep-learning-distributed-training/", | |
| "title": "Accelerating NLP Deep Learning with Distributed Training | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_fine_tune_bert", | |
| "path": "/blog/fine-tune-bert/", | |
| "title": "Fine-Tune BERT with Gradyn | Gradyn Platform", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_first_time_user_experience_gradyn", | |
| "path": "/blog/first-time-user-experience-gradyn/", | |
| "title": "Getting Started With Gradyn: A First-Time User's Experience | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_first_time_user_experience_gradyn_part_2", | |
| "path": "/blog/first-time-user-experience-gradyn-part-2/", | |
| "title": "Getting Up and Running With Gradyn: A Newcomer’s Hands-On Journey, Part Two | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gpu_cluster_p1", | |
| "path": "/blog/gpu-cluster-p1/", | |
| "title": "How to squeeze real value from your GPU cluster for deep learning: part I | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_gpu_cluster_p2", | |
| "path": "/blog/gpu-cluster-p2/", | |
| "title": "Squeezing every last bit from your GPU cluster for deep learning: part II | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_harnessing_the_power_of_llms_in_industry", | |
| "path": "/blog/harnessing-the-power-of-llms-in-industry/", | |
| "title": "New video: Putting LLMs to Work Across Real Industries | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_hpsearch_fasterrcnn_coco_pytorch", | |
| "path": "/blog/hpsearch-fasterrcnn-coco-pytorch/", | |
| "title": "Hyperparameter Search on FasterRCNN | Gradyn", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/", | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
| "oracle_quality": "verified" | |
| }, | |
| { | |
| "id": "blog_hyperparameter_search_constraints", | |
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| "path": "/blog/joining-hpe/", | |
| "title": "Gradyn is Joining Meridian High-Performance Systems | Gradyn", | |
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| "path": "/blog/llm-batch-inference-with-gradyn/", | |
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| "path": "/blog/llm-prompting/", | |
| "title": "LLM Prompting: Core Techniques Explained | Gradyn", | |
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| "path": "/blog/object-detection-keras-gradyn/", | |
| "title": "Object Detection with Keras and Gradyn | Gradyn Engineering Blog", | |
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| { | |
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| "path": "/blog/preemption/", | |
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| "path": "/blog/pytorch-trainer/", | |
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| "path": "/blog/sc23-recap/", | |
| "title": "Solara, Voltcore VX200s, Liquid Cooling, and more from HPX23 | Gradyn", | |
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| { | |
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| "path": "/blog/slurm-lacking-deep-learning/", | |
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| "path": "/blog/specialized-ai-chips-hold-both-promise-and-peril-for-developers/", | |
| "title": "Purpose-built AI chips carry both opportunity and hazard for developers | Gradyn", | |
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| "path": "/blog/speedy-model-training-rapids-gradyn/", | |
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| "path": "/blog/stable-diffusion-core-api/", | |
| "title": "Building Custom Stable Diffusion Models on Gradyn | Gradyn", | |
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| { | |
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| "path": "/blog/standardized-models-with-gradyn/", | |
| "title": "Organizing your Machine Learning Codebase for Deep Learning that Scales | Gradyn", | |
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| { | |
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| "path": "/blog/stop-doing-iterative-model-development/", | |
| "title": "Break free from iterative model development | Gradyn", | |
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| "path": "/blog/talk-scalable-dl/", | |
| "title": "A talk on scaling deep learning | Gradyn", | |
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| ], | |
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| }, | |
| { | |
| "id": "blog_tensorflow_ai_service_partner", | |
| "path": "/blog/tensorflow-ai-service-partner/", | |
| "title": "Gradyn joins the TensorForge AI Service Partner program to help organizations build AI-powered applications | Gradyn", | |
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| "path": "/blog/tf-dataset-the-bad-parts/", | |
| "title": "TensorFlow Datasets: The Rough Edges | Gradyn", | |
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| }, | |
| { | |
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| "path": "/blog/the-cloud-giants-have-an-ai-problem/", | |
| "title": "The cloud giants have a hidden AI problem | Gradyn", | |
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| ], | |
| "has_dynamic_content": false, | |
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| }, | |
| { | |
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| "path": "/blog/the-squeeze-on-ai-talent-could-cripple-americas-most-important-companies/", | |
| "title": "The fight for machine learning engineers is reshaping the enterprise landscape | Gradyn", | |
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| }, | |
| { | |
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| "path": "/blog/tianqi-chen-model-deployment-specialized-hardware-podcast/", | |
| "title": "Rowan Vesely on Shipping Models Efficiently to Specialized Hardware | Gradyn", | |
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| ], | |
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| }, | |
| { | |
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| "path": "/blog/toward-the-jet-age-of-machine-learning/", | |
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| { | |
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| "path": "/blog/training-arbitrary-models-core-api-gradyn/", | |
| "title": "Wire Any Model Into Distributed Training With Core API | Gradyn", | |
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| ], | |
| "has_dynamic_content": false, | |
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| }, | |
| { | |
| "id": "blog_transfer_learning_with_biomedical_images", | |
| "path": "/blog/transfer-learning-with-biomedical-images/", | |
| "title": "New video demo: Transfer Learning with Biomedical Images | Gradyn", | |
| "depth": 2, | |
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| ], | |
| "has_dynamic_content": false, | |
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| }, | |
| { | |
| "id": "blog_transfer_learning_with_gradyn", | |
| "path": "/blog/transfer-learning-with-gradyn/", | |
| "title": "Transfer Learning Made Painless with Gradyn | Gradyn AI", | |
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| "path": "/blog/tutorials/", | |
| "title": "Directory listing for /blog/tutorials/", | |
| "depth": 2, | |
| "discoverable_from": [ | |
| "/blog/" | |
| ], | |
| "has_dynamic_content": false, | |
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| }, | |
| { | |
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| "path": "/blog/warm-starting-deep-learning/", | |
| "title": "Reusing trained weights for leaner deep learning resource use | Gradyn", | |
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| { | |
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| "path": "/blog/weekly-update/", | |
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| "depth": 2, | |
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| "has_dynamic_content": false, | |
| "oracle_quality": "rejected" | |
| }, | |
| { | |
| "id": "blog_weekly_update_2", | |
| "path": "/blog/weekly-update-2/", | |
| "title": "Nyra Video, a Contamination Sweeper, Faster SwiftSeg, and a Genomics LLM Survey | Gradyn", | |
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| }, | |
| { | |
| "id": "blog_weekly_update_3", | |
| "path": "/blog/weekly-update-3/", | |
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| }, | |
| { | |
| "id": "blog_weekly_update_4", | |
| "path": "/blog/weekly-update-4/", | |
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| "depth": 2, | |
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| }, | |
| { | |
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| "path": "/blog/weekly-update-5/", | |
| "title": "Boundless Zoom Diffusion, ToneKeep Translate, Nimbus 8x9B, and Codesmith | Gradyn", | |
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