| Understanding YOLO: Real-Time Object Detection in Java | 7/11/2024 | |
| Contrastive Loss Explained: A Java Programming Guide | 7/11/2024 | |
| Creating A Spring Boot Application With Machine Learning Integration | 5/31/2024 | Maksim Navitsky |
| How to Improve Spring Boot Applications with Artificial Intelligence and Machine Learning | 5/20/2024 | Alexander Obregon |
| How to deploy and debug a model with DJL | 5/17/2024 | TechHara |
| Deep Learning with Java/Kotlin | 4/26/2024 | Kumar Shubham |
| Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | 4/16/2024 | Pranav Murthy, Bosco Albuquerque, Varun Shah, Sumedha Swamy |
| Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers | 4/8/2024 | Joao Moura, Rahul Sharma, Dhawalkumar Patel, Qing Lan |
| Optimized Deployment of Mistral7B on Amazon SageMaker Real-Time Inference | 2/20/2024 | Ram Vegiraju |
| Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | 2/19/2024 | Ram Vegiraju, James Wu, Qingwei Li, Siddharth Venkatesan and others |
| Detect Objects in Images Using DJL and MXNet Model Zoo | 2/23/2024 | |
| Harness the Power of DJL: Object Detection with MXNet | 2/22/2024 | |
| Seamlessly Integrate Machine Learning into Your Spring App with DJL | 1/19/2024 | |
| Building AI Experiences on AWS in Just 15 Minutes! | 12/1/2023 | |
| Tokenizing Text for Vector Searches with Java | 10/30/2024 | Niklas Heidloff |
| Lessons learned using Machine Learning in Java By Jago de Vreede | 10/5/2023 | Devoxx |
| How to build your own AI powered video surveillance system in just 150 lines of code. | 10/16/2023 | Jason Thomas |
| Build a generative AI-based content moderation solution on Amazon SageMaker JumpStart | 9/5/2023 | Gordon Wang, Yanwei Cui, Melanie Li |
| Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting | 9/1/2023 | Raghu Ramesha, Abhi Shivaditya, Melanie Li and others |
| Maximize Stable Diffusion performance and lower inference costs with AWS Inferentia2 | 6/27/2023 | Vivek Gangasani, K.C. Tung, Rupinder Grewal |
| Deploy Falcon-40B with large model inference DLCs on Amazon SageMaker | 6/13/2023 | James Park, Qing Lan, Frank Liu and others |
| Revolutionizing AI: Unleashing Advanced NLP with Open-Source Large Language Models | 6/12/2023 | Casey Jones |
| Build custom chatbot applications using OpenChatkit models on Amazon SageMaker | 6/12/2023 | Dhawal Patel, Vikram Elango, Andrew Smith |
| A look into Deep Java Library! | 6/12/2023 | Mohammed Aboullaite |
| Deploying LLMs On Amazon SageMaker With DJL Serving | 6/5/2023 | Ram Vegiraju |
| Announcing the launch of new Hugging Face LLM Inference containers on Amazon SageMaker | 6/5/2023 | Philipp Schmid, Xin Yang, Qing Lan and others |
| Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better Decisions | 6/3/2023 | Matthias Unverzagt |
| Real-time inference using deep learning within Amazon Kinesis Data Analytics for Apache Flink | 6/1/2023 | Jeremy Ber, Deepthi Mohan, Gaurav Rele |
| Enabling large-scale PyTorch model inference at Swiggy | 5/28/2023 | Abhishek Bose |
| GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker | 5/16/2023 | Rachna Chadha, Kyle Ulrich, Ashish Khetan |
| Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker | 5/4/2023 | Vivek Gangasani, Hiroshi Tokoyo, Qingwie Li, Dhawal Patel and others |
| How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency | 4/19/2023 | Fred Wu, Zach Kimberg, Kanwaljit Khurmi |
| Deploy large models at high performance using FasterTransformer on Amazon SageMaker | 4/17/2023 | Rohith Nallamaddi, Dhawal Patel |
| Deploy large language models on AWS Inferentia using large model inference containers | 4/10/2023 | Qingwie Li, Peter Chung, Aaqib Ansari, Qing Lan, Frank Liu |
| Forecast the Future in a Timeseries Data With Deep Java Library (DJL) | 2/19/2023 | Kexin Feng |
| How to Identify Objects at Pixel Level using Deep Learning in Java | 12/25/2022 | Xin Yang |
| Running an NLP Bert or Machine Learning Model from HuggingFace in Java | 12/23/2022 | Carlos Aguayo |
| Blazing Fast Training With Small Dataset for Java Applications | 12/16/2022 | Kexin Feng |
| Food delivery with Tiny Mile on AWS Wavelength | 11/9/2022 | Anil Lalwani |
| Deploy BLOOM-176B and OPT-30B on Amazon SageMaker with large model inference Deep Learning Containers and DeepSpeed | 11/4/2022 | Rupinder Grewal, Simon Zamarin, Frank Liu and others |
| Amazon DJL-Zero Project | 10/8/2022 | Zhou Xinyi |
| Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference | 9/11/2022 | Frank Liu, Qing Lan, Qingwei Li, Dhawal Patel, Robert Van Dusen, Alan Tan |
| Build Semantic Segmentation App with Deep Java Library | 8/29/2022 | John Doll |
| Natural Language Processing with Groovy, OpenNLP, CoreNLP, Nlp4j, Datumbox, Smile, Spark NLP, DJL and TensorFlow | 8/7/2022 | Paul King |
| Detecting objects with Groovy, the Deep Java Library (DJL), and Apache MXNet | 8/1/2022 | Paul King |
| Using Deep Java Library on Spring Boot | 7/14/2022 | Arika Saputro |
| Deploy HuggingFace NLP Models in Java With Deep Java Library | 4/27/2022 | Kexin Feng, Cheng-Che Lee |
| Scaling-up PyTorch inference: serving billions of daily NLP inferences with ONNX Runtime | 4/19/2022 | Faith Xu |
| Simplified MLOps with Deep Java Library | 11/23/2021 | Lukas Baker, Andrea Duque, and Viet Yen Nguyen |
| Generating Images using BigGAN using Java | 11/18/2021 | Aziz Zayed, Frank Liu, Qing Lan |
| Deep Learning In Java | 10/5/2021 | Shaharyar Lalani |
| Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs | 6/11/2021 | Qing Lan |
| Aprendizaje profundo con Spark en la biblioteca Deep Java en 10 minutos | 5/12/2021 | |
| DJL x Paddle Inference 加速Java深度学习推理落地 | 4/13/2021 | PaddlePaddle |
| Let's touch on Deep Java Library (DJL), a library that can handle Deep Learning in Java released from AWS | 4/10/2021 | |
| Deep Java Library explained | 3/20/2021 | Interview DOT |
| Train “Undying” Flappy Bird Using Reinforcement Learning on Java | 2/25/2021 | Qing Lan |
| Accelerating Deep Learning with Apache Spark and NVIDIA GPUs on AWS | 2/23/2021 | Qing Lan, Kong Zhao, Carol McDonald |
| Model serving in Java with AWS Elastic Beanstalk made easy with Deep Java Library | 1/25/2021 | Frank Liu |
| Model serving made easier with Deep Java Library and AWS Lambda | 1/25/2021 | Frank Liu |
| Leverage deep learning in Scala with GPU on Spark 3.0 | 1/22/2021 | Carol McDonald, Kong Zhao, Qing Lan |
| How Netflix uses Deep Java Library (DJL) for distributed deep learning inference in real-time | 1/19/2021 | Lu Huang, Lai Wei, Qing Lan |
| 动手用 Java 训练深度学习模型 | 11/14/2020 | Qing Lan |
| Pytorch model in Deep Java Library | 11/9/2020 | Shantanu Bhattacharyya |
| Deep Learning in Java | 10/31/2020 | Keerthan Vasist |
| Video streaming and deep learning: Using Amazon Kinesis Video Streams with Deep Java Library | 10/27/2020 | Zach Kimberg, Frank Liu |
| JSUG勉強会 2020年その7 SpringOne 報告LT大会！ | 9/30/2020 | 日本Springユーザ会 |
| Using DJL.AI For Deep Learning BERT Q&A in NiFi DataFlows | 9/20/2020 | Timothy Spann |
| Java Developer? Run Image Classification on AWS Lambda using DJL | 9/18/2020 | ML-gay |
| Learn to Create a Doodle Draw Game on Android | 9/16/2020 | Qing Lan |
| NDArray — 基于 Java 的 N 维数组工具 | 9/1/2020 | Qing Lan |
| How TalkingData uses AWS open source Deep Java Library with Apache Spark for machine learning inference at scale | 8/27/2020 | Qing Lan |
| NDArray — — a Java based N-Dim array toolkit | 8/12/2020 | Qing Lan |
| 5 分鐘用 Java 完成 PyTorch 物體識別！ | 8/3/2020 | Cheng-Che Lee |
| How Amazon retail systems run machine learning predictions with Apache Spark using Deep Java Library | 7/14/2020 | Raja Hafiz Affandi, Vaibhav Goel, Qing Lan |
| 深度解析 Amazon Retail System 用户倾向预测模型以及使用 DJL 在 Apache Spark 进行深度学习推理任务 | 6/23/2020 | Raja Hafiz Affandi, Vaibhav Goel, Qing Lan |
| Java 机器学习工具箱：Amazon Deep Java Library | 6/16/2020 | Xinyu Liu, Frank Liu |
| Deep Java Learning - NDManager & NDArray | 6/12/2020 | Christoph Henkelmann |
| 十分钟轻松使用Scala在Apache Spark部署深度学习模型 | 6/12/2020 | Qing Lan |
| Detecting pneumonia from chest x-ray images in Java | 6/12/2020 | Wei Lai |
| Deep Learning with Spark in Deep Java Library in 10 minutes | 6/10/2020 | Qing Lan |
| Machine Learning in Java With Amazon Deep Java Library | 5/28/2020 | Frank Liu, Xinyu Liu, Frank Greco, Zoran Sevarac, Balaji Kamakoti |
| Deep Learning with Spring Boot and DJL | 5/14/2020 | David Kiss |
| 使用 DJL (Deep Java Library) 和 Spring Boot 在您的微服务中采用机器学习 | 5/11/2020 | Mikhail Shapirov |
| Adopting machine learning in your microservices with DJL (Deep Java Library) and Spring Boot | 5/6/2020 | Mikhail Shapirov |
| 5分钟！用Java实现目标检测 (PyTorch) | 5/4/2020 | Qing Lan |
| Amazon DJL - a new DL framework for Java | 4/28/2020 | Christoph Henkelmann |
| Implement Object Detection with PyTorch in Java in 5 minutes | 4/22/2020 | Qing Lan |
| JAVA 程序员的 AI 工具箱 – Deep Java Library (DJL) | 2/20/2020 | 费良宏 |
| Deep Java Library (DJL) 简介 | 1/24/2020 | Xinyu Liu |
| Getting to Know Deep Java Library (DJL) - InfoQ | 12/19/2019 | Kesha Williams |
| Deep Java Library(DJL) — a Deep Learning Toolkit for Java Developers | 12/9.2019 | Kesha Williams |
| Introducing Deep Java Library: Develop and deploy Machine Learning models in Java | 12/3/2019 | AWS |
| Introducing Deep Java Library(DJL) | 11/29/2019 | Rakesh Vasudevan |