{"id":3488,"date":"2025-01-29T21:10:16","date_gmt":"2025-01-30T04:10:16","guid":{"rendered":"https:\/\/meta-quantum.today\/?p=3488"},"modified":"2025-01-29T21:10:17","modified_gmt":"2025-01-30T04:10:17","slug":"open-deepseek-r1-secrets-uncovered","status":"publish","type":"post","link":"https:\/\/meta-quantum.today\/?p=3488","title":{"rendered":"OPEN DeepSeek R1: SECRETS Uncovered"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Introduction:<\/h2>\n\n\n\n<p>This article delves into DeepSeek R1, a groundbreaking open-source artificial intelligence model that has captured widespread interest in the AI community, evidenced by its impressive reach of nearly 200,000 downloads on the Hugging Face platform. The discussion encompasses a comprehensive examination of R1&#8217;s publicly accessible features and functionalities, while also shedding light on the dynamic community-driven initiatives aimed at reconstructing and implementing the model&#8217;s currently unavailable components.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Technical details about&nbsp;<strong>DeepSeek R1:<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Core Functionality<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Purpose<\/strong>: DeepSeek R1 could be a framework or tool designed for AI\/ML development, focusing on tasks like natural language processing (NLP), computer vision, or reinforcement learning.<\/li>\n\n\n\n<li><strong>Key Features<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Pre-trained models for common AI tasks (e.g., text generation, classification, or image recognition).<\/li>\n\n\n\n<li>Customizable pipelines for training and fine-tuning models.<\/li>\n\n\n\n<li>Support for distributed training and large-scale datasets.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Programming Languages and APIs<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Primary Language<\/strong>: Likely supports Python, given its dominance in AI\/ML development.<\/li>\n\n\n\n<li><strong>APIs<\/strong>:\n<ol class=\"wp-block-list\">\n<li>RESTful APIs for integrating AI models into applications.<\/li>\n\n\n\n<li>Python SDK for local development and experimentation.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>CLI Tools<\/strong>: Command-line interfaces for managing models, datasets, and deployments.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Model Architecture<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Pre-trained Models<\/strong>: DeepSeek R1 might include state-of-the-art architectures like:\n<ol class=\"wp-block-list\">\n<li>Transformers for NLP tasks (e.g., BERT, GPT variants).<\/li>\n\n\n\n<li>Convolutional Neural Networks (CNNs) for computer vision.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Custom Models<\/strong>: Developers can likely build and train custom models using the framework&#8217;s libraries.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Training and Deployment<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Training<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Support for GPU\/TPU acceleration.<\/li>\n\n\n\n<li>Distributed training across multiple nodes.<\/li>\n\n\n\n<li>Hyperparameter tuning and optimization tools.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Deployment<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Export models to standard formats (e.g., ONNX, TensorFlow SavedModel).<\/li>\n\n\n\n<li>Integration with cloud platforms (e.g., AWS, GCP, Azure).<\/li>\n\n\n\n<li>Real-time inference APIs.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Data Handling<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Data Preprocessing<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Tools for cleaning, augmenting, and transforming datasets.<\/li>\n\n\n\n<li>Support for common data formats (e.g., CSV, JSON, images).<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Data Versioning<\/strong>: Track and manage different versions of datasets.<\/li>\n\n\n\n<li><strong>Data Privacy<\/strong>: Built-in features for handling sensitive data (e.g., anonymization, encryption).<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Performance Optimization<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Model Compression<\/strong>: Techniques like quantization and pruning to reduce model size and improve inference speed.<\/li>\n\n\n\n<li><strong>Latency Reduction<\/strong>: Optimized inference engines for low-latency applications.<\/li>\n\n\n\n<li><strong>Scalability<\/strong>: Designed to handle large-scale workloads efficiently.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Integration with Existing Tools<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>MLOps<\/strong>: Integration with tools like MLflow, Kubeflow, or TensorBoard for experiment tracking and model management.<\/li>\n\n\n\n<li><strong>CI\/CD<\/strong>: Support for automating model deployment pipelines.<\/li>\n\n\n\n<li><strong>Version Control<\/strong>: Compatibility with Git for tracking code and model changes.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Documentation and Community<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Documentation<\/strong>: Comprehensive guides, tutorials, and API references.<\/li>\n\n\n\n<li><strong>Community Support<\/strong>: Active forums, GitHub repositories, and developer communities.<\/li>\n\n\n\n<li><strong>Open Source<\/strong>: If open-source, contributions and extensions from the community.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Use Cases<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>NLP<\/strong>: Text generation, sentiment analysis, chatbots.<\/li>\n\n\n\n<li><strong>Computer Vision<\/strong>: Object detection, image classification.<\/li>\n\n\n\n<li><strong>Reinforcement Learning<\/strong>: Game AI, robotics.<\/li>\n\n\n\n<li><strong>Generative AI<\/strong>: Content creation, art generation.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Example Workflow<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Data Preparation<\/strong>: Load and preprocess your dataset using DeepSeek R1&#8217;s tools.<\/li>\n\n\n\n<li><strong>Model Selection<\/strong>: Choose a pre-trained model or build a custom one.<\/li>\n\n\n\n<li><strong>Training<\/strong>: Train the model on your dataset, leveraging distributed computing if needed.<\/li>\n\n\n\n<li><strong>Evaluation<\/strong>: Use built-in metrics to evaluate model performance.<\/li>\n\n\n\n<li><strong>Deployment<\/strong>: Export the model and deploy it to a production environment.<\/li>\n\n\n\n<li><strong>Monitoring<\/strong>: Track model performance and retrain as necessary.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Video about DeepSeek R1:<\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"OPEN DeepSeek R1: SECRETS Uncovered\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/2ENvGkkK36E?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Key Sections:<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>DeepSeek R1 Background<br><\/strong>Originally released with detailed research papers explaining the reinforcement learning algorithm and group relative policy optimization<br>Multiple versions available, including a 32 billion parameter version and a 1.5 billion parameter distilled version<br>Performance comparable to OpenAI&#8217;s O1 across mathematics, code, and reasoning tasks<br><\/li>\n\n\n\n<li><strong>Missing Components and Open R1 Initiative<br><\/strong>Key missing elements include training datasets and specific training code<br>Hugging Face launched &#8220;Open R1&#8221; initiative on January 28, 2025<br>Community-driven effort to reverse engineer and reproduce missing components<br>Goal to create a fully open reproduction of DeepSeek R1<br><\/li>\n\n\n\n<li><strong>DeepSeek&#8217;s Academic Connections<br><\/strong>Collaboration with prestigious institutions including Tsinghua University and Peking University<br>Published methodology on group relative policy optimization over a year ago<br>Strong academic foundation and research background<br><\/li>\n\n\n\n<li><strong>New Hugging Face Infrastructure<br><\/strong>Introduction of new inference providers including Together AI<br>Replicate, and Sova Systems <br>Direct integration with Hugging Face&#8217;s platform<br>Two billing options: direct requests and routed requests<br>Simplified deployment process for running DeepSeek R1<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How DeepSeek R1<\/strong> Impact to SoutEast Asia<\/h2>\n\n\n\n<p><strong>DeepSeek R1<\/strong>&nbsp;is an AI\/ML tool or framework, it can have a transformative impact on businesses in&nbsp;<strong>Southeast Asia (SEA)<\/strong>, a region characterized by rapid digital transformation, a growing tech-savvy population, and diverse industries. Here\u2019s how R1 can drive innovation and growth across various sectors in SEA:<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">1.&nbsp;<strong>Enhancing Operational Efficiency<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Automation<\/strong>: R1 can automate repetitive tasks such as data entry, customer support (via chatbots), and inventory management, reducing costs and improving efficiency.<\/li>\n\n\n\n<li><strong>Predictive Maintenance<\/strong>: In manufacturing and logistics, R1 can predict equipment failures, minimizing downtime and maintenance costs.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">2.&nbsp;<strong>Improving Customer Experience<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Personalization<\/strong>: R1 can analyze customer data to provide personalized recommendations, improving customer satisfaction and loyalty (e.g., in e-commerce, banking, or travel).<\/li>\n\n\n\n<li><strong>Chatbots and Virtual Assistants<\/strong>: AI-powered chatbots can handle customer inquiries 24\/7, providing instant support and reducing wait times.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">3.&nbsp;<strong>Driving Innovation in Key Industries<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>E-commerce<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Optimize supply chains and inventory management.<\/li>\n\n\n\n<li>Enhance product recommendations and dynamic pricing.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Fintech<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Detect fraudulent transactions in real-time.<\/li>\n\n\n\n<li>Provide personalized financial advice using AI-driven insights.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Healthcare<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Enable early disease detection through AI-powered diagnostics.<\/li>\n\n\n\n<li>Streamline patient data management and telemedicine services.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Agriculture<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Use AI for crop monitoring, yield prediction, and pest control.<\/li>\n\n\n\n<li>Optimize resource usage (e.g., water, fertilizers) for sustainable farming.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">4.&nbsp;<strong>Enabling Data-Driven Decision Making<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Business Analytics<\/strong>: R1 can analyze large datasets to uncover trends, patterns, and insights, helping businesses make informed decisions.<\/li>\n\n\n\n<li><strong>Market Forecasting<\/strong>: Predict market demand and consumer behavior to optimize product launches and marketing strategies.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">5.&nbsp;<strong>Supporting SMEs and Startups<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Affordable AI Solutions<\/strong>: R1 can provide cost-effective AI tools for small and medium-sized enterprises (SMEs), enabling them to compete with larger players.<\/li>\n\n\n\n<li><strong>Scalability<\/strong>: Startups can use R1 to quickly prototype and scale AI-driven solutions without significant upfront investment.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">6.&nbsp;<strong>Addressing Regional Challenges<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Language Diversity<\/strong>: R1\u2019s NLP capabilities can support multiple languages and dialects spoken in SEA, improving communication and accessibility.<\/li>\n\n\n\n<li><strong>Infrastructure Gaps<\/strong>: AI-powered solutions can bridge gaps in infrastructure, such as optimizing logistics in areas with underdeveloped transportation networks.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">7.&nbsp;<strong>Creating New Business Opportunities<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>AI-as-a-Service<\/strong>: Companies can offer AI-powered services (e.g., fraud detection, customer analytics) to other businesses, creating new revenue streams.<\/li>\n\n\n\n<li><strong>Innovative Products<\/strong>: Businesses can develop AI-driven products tailored to local needs, such as mobile apps for farmers or fintech solutions for the unbanked.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">8.&nbsp;<strong>Boosting Workforce Productivity<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Upskilling Employees<\/strong>: Training employees to use R1 can enhance their productivity and open up new career opportunities.<\/li>\n\n\n\n<li><strong>Collaborative AI<\/strong>: R1 can assist employees in tasks like data analysis, report generation, and decision-making, freeing up time for strategic work.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">9.&nbsp;<strong>Supporting Sustainability Goals<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Energy Optimization<\/strong>: AI can optimize energy usage in industries like manufacturing and logistics, reducing carbon footprints.<\/li>\n\n\n\n<li><strong>Sustainable Agriculture<\/strong>: AI-driven insights can promote sustainable farming practices, benefiting both the environment and farmers.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">10.&nbsp;<strong>Regional Economic Growth<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Job Creation<\/strong>: The adoption of AI technologies like R1 can create new jobs in AI development, data science, and related fields.<\/li>\n\n\n\n<li><strong>Attracting Investment<\/strong>: Businesses leveraging AI can attract foreign investment and partnerships, boosting the regional economy.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Case Studies: Potential Applications in SEA<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Indonesia<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Use R1 to optimize logistics for e-commerce companies operating across thousands of islands.<\/li>\n\n\n\n<li>Develop AI-powered language tools for Bahasa Indonesia and regional dialects.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Vietnam<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Implement AI in manufacturing to improve quality control and export competitiveness.<\/li>\n\n\n\n<li>Use AI for smart city initiatives, such as traffic management and energy optimization.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Philippines<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Deploy AI-driven chatbots for customer service in the booming BPO industry.<\/li>\n\n\n\n<li>Use AI to enhance disaster preparedness and response.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><strong>Thailand<\/strong>:\n<ol class=\"wp-block-list\">\n<li>Leverage AI in tourism to personalize travel experiences and predict tourist trends.<\/li>\n\n\n\n<li>Apply AI in healthcare for early detection of diseases like diabetes and cancer.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Challenges and Considerations<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Data Privacy<\/strong>: Ensure compliance with local data protection regulations (e.g., PDPA in Singapore, PDPA in Thailand).<\/li>\n\n\n\n<li><strong>Digital Literacy<\/strong>: Invest in training programs to upskill the workforce and ensure effective adoption of AI tools.<\/li>\n\n\n\n<li><strong>Infrastructure<\/strong>: Address connectivity and hardware limitations in rural areas to enable widespread AI adoption.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>By leveraging&nbsp;<strong>DeepSeek R1<\/strong>, businesses in Southeast Asia can unlock new opportunities, improve efficiency, and drive innovation, positioning the region as a global leader in AI adoption and digital transformation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion:<\/h2>\n\n\n\n<p>This discussion highlights the significance of Open R1, a community initiative to reconstruct the complete DeepSeek R1 system. The project&#8217;s main focus is recreating synthetic datasets that are crucial for training reasoning models. This effort seeks to democratize access to advanced AI capabilities by enabling researchers to fine-tune their own models with improved reasoning capabilities. In Southeast Asia, this democratization could have far-reaching effects, enabling local businesses and researchers to develop AI solutions tailored to regional languages, cultures, and specific industry needs, ultimately fostering technological innovation across the region.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Key Takeaways:<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>DeepSeek has provided unprecedented access to their model architecture compared to other companies<\/li>\n\n\n\n<li>The community-driven Open R1 project could revolutionize open-source AI development<\/li>\n\n\n\n<li>New infrastructure developments are making it easier to deploy and use these models<\/li>\n\n\n\n<li>The success of reconstructing training datasets could enable widespread development of reasoning-capable models<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">References:<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/medium.com\/@cristianleo120\/the-math-behind-deepseek-r1-78caab13e730\" target=\"_blank\" rel=\"noopener\" title=\"DeepSeek Mathematics\">DeepSeek Mathematics<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/huggingface.co\/open-r1\" target=\"_blank\" rel=\"noopener\" title=\"Hugging Face Open R1 GitHub repository \">Hugging Face Open R1 GitHub repository <\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/aipapersacademy.com\/deepseek-r1\/\" target=\"_blank\" rel=\"noopener\" title=\"DeepSeek R1 research paper on reinforcement learning\">DeepSeek R1 research paper on reinforcement learning<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/huggingface.co\/docs\/huggingface_hub\/en\/package_reference\/inference_client\" target=\"_blank\" rel=\"noopener\" title=\"Hugging Face Hub documentation for new inference providers\">Hugging Face Hub documentation for new inference providers<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/Open-R1: a fully open reproduction of DeepSeek-R1\" target=\"_blank\" rel=\"noopener\" title=\"\">Open-R1: a fully open reproduction of DeepSeek-R1<\/a><\/li>\n<\/ol>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The success of the open-source DeepSeek R1 Language Model ignited a research effort, focused on understanding all R1 methods and datasets, not publicly available.<br \/>\n A new initiative is calling on the Ai research community to contribute to better understand and build on current best AI designs to further improve tech dev of AI. <\/p>\n","protected":false},"author":1,"featured_media":3490,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15,18,13,1],"tags":[],"class_list":["post-3488","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-education","category-quantum-and-u","category-uncategorized"],"aioseo_notices":[],"featured_image_src":"https:\/\/meta-quantum.today\/wp-content\/uploads\/2025\/01\/open-r1.jpg","featured_image_src_square":"https:\/\/meta-quantum.today\/wp-content\/uploads\/2025\/01\/open-r1.jpg","author_info":{"display_name":"coffee","author_link":"https:\/\/meta-quantum.today\/?author=1"},"rbea_author_info":{"display_name":"coffee","author_link":"https:\/\/meta-quantum.today\/?author=1"},"rbea_excerpt_info":"The success of the open-source DeepSeek R1 Language Model ignited a research effort, focused on understanding all R1 methods and datasets, not publicly available. \n A new initiative is calling on the Ai research community to contribute to better understand and build on current best AI designs to further improve tech dev of AI. ","category_list":"<a href=\"https:\/\/meta-quantum.today\/?cat=15\" rel=\"category\">AI<\/a>, <a href=\"https:\/\/meta-quantum.today\/?cat=18\" rel=\"category\">Education<\/a>, <a href=\"https:\/\/meta-quantum.today\/?cat=13\" rel=\"category\">Quantum and U<\/a>, <a href=\"https:\/\/meta-quantum.today\/?cat=1\" rel=\"category\">Uncategorized<\/a>","comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts\/3488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3488"}],"version-history":[{"count":2,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts\/3488\/revisions"}],"predecessor-version":[{"id":3492,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts\/3488\/revisions\/3492"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/media\/3490"}],"wp:attachment":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3488"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3488"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}