IBM Developer

Ready to take your AI skills to the next level?🚀 IBM TechXchange 2025 is a learning event for developers and technologists on a mission. Whether you're diving into the latest #AI tooling, experimenting with #quantum computing, or building with Infrastructure as Code (IaC) tools, you'll be hands-on and ready to explore, build and launch. Don’t miss out! Register now and join us in Orlando: https://ibm.co/42ks8TK Here’s what you can expect: 🔹 1,000+ expert speakers 🔹 Live workshops & immersive labs 🔹 Professional certifications & networking 🔹 Exclusive access to the latest AI technologies Networking and fun : From the Sandbox 3.0 Block Party to a night at Universal Orlando Resorts Islands of Adventure, there are many dynamic experiences for you to meet other experts. ------------ #IBMTechXchange #GenAI

IBM watsonx Assistant is a state-of-the-art conversational #AI platform that allows users to build generative AI assistants, providing seamless self-service experiences across multiple devices and channels. With a user-friendly interface, pre-built templates, and out-of-the-box AI models, Watsonx Assistant simplifies the process of creating conversational interfaces that understand natural language and provide accurate, contextual answers. Read this tutorial authored by IBMers Jatindra Suthar, Nidhi Jain and Amit Khandelwal to learn some of the features of watsonx Assistant's web methods and events: https://ibm.co/4jwlIrH

IBM Hybrid Cloud and Infrastructure offers a robust platform for building, deploying, and managing cloud-native applications. However, configuring and managing infrastructure can be a tedious and time-consuming task. This is where the IBM Cloud Deployable Architecture Builder extension for Visual Studio Code (VS Code) makes a difference. Read this step-by-step guide to explore the benefits using this extension and customizing your Deployable Architectures on IBM Cloud: https://ibm.co/4lr5hOX ---------- #hybridcloud #extenstion

Learn how to configure IBM MaaS360 for seamless user synchronization with Active Directory and OpenLDAP, streamlining user management and enhancing security: https://ibm.co/3FWWWT3 Integrating MaaS360 with corporate directories like Active Directory and OpenLDAP optimizes mobile device management, reduces #security risks, and ensures #compliance with organizational policies.

Prompt tuning is a technique for adapting large language models (LLMs) without needing to fine-tune all the model's parameters. Read how mathematically, prompt tuning adapts #LLMs by introducing a set of learnable parameters p that modify the input instead of updating the model's core weights: https://ibm.co/3XRn33Y This technique allows for task-specific adaptation with much lower computational cost than full fine-tuning.

Wildfires leave behind more than just smoke and ash. They reshape landscapes and impact ecosystems, communities, and resources. Burn scar detection is changing the game. By using satellite imagery, AI, and geospatial data, we can map fire-damaged areas, guide recovery, and prevent future risks like erosion and floods. Check out our latest article on how technology is helping rebuild what wildfires destroy: https://ibm.co/4joMoKY --------------- #WildfireRecovery #GeospatialTech #RemoteSensing #BurnScarDetection #AIforGood #Sustainability #ClimateTech

The integration of NVIDIA’s MIG technology into Red Hat OpenShift AI is a significant step forward in optimizing GPU resources for #AI and #ML workloads. When combined with OpenShift AI, MIG allows organizations to unlock the full potential of their AI workloads while ensuring flexibility, cost-efficiency, and a sustainable approach to infrastructure management. Discover how to address key concerns and opportunities while optimizing #GPU resources in containerized environments: https://ibm.co/3R3a0Zk This article was produced by Lorenzo Carleo as part of the IBM Open Innovation Community Initiative.

The integration of NVIDIA MIG technology with Red Hat OpenShift provides a powerful solution for optimizing GPU resources in containerized environments. By enabling fine-grained GPU partitioning, organizations can significantly improve resource utilization, enhance workload isolation, and maximize the value of their GPU investments. This comprehensive guide authored by IBMer VidyaSagar Machupalli FBCS explores how to harness NVIDIA's Multi-Instance GPU (MIG) technology within Red Hat OpenShift to achieve unprecedented levels of GPU optimization and utilization. Learn more about implementing NVIDIA MIG in Red Hat OpenShift: https://ibm.co/3G3LBjW --------------- #AI #OpenShift #GPU

Explore how to use Red Hat Enterprise Linux AI (RHEL AI) on IBM Cloud with NVIDIA H100 GPUs to fine tune open source #LLMs/SLMs such as the IBM Granite model, an enterprise-grade model optimized for AI workloads, on specialized data sets, allowing it to better understand and respond to domain-specific queries. RHEL AI combines InstructLab model alignment tools, a bootable #RHEL image with #AI libraries, and enterprise-grade support with legal protections. Follow the step-by-step guidance in the tutorial to learn about the setup of RHEL AI, data preparation, synthetic data generation, and the training steps that are required to fine-tune a model using RHEL AI. Get started now: https://ibm.co/4j8hs1k This tutorial was produced as part of the IBM Open Innovation Community: Better Together initiative by Abhijit Roy (Red Hat), Ahmed Azraq (IBM), Bhargav Venkata Ramana Perepa(IBM), and Chen Chiu (Red Hat)

Learn how to set up and automate efficient data processing pipelines in Watson Studio, focusing on parallel execution and integration with IBM Cloud Object Storage: https://ibm.co/4lf7MUr Explore a real-world example of processing Java files for code explanation and summarization, demonstrating how Watson Studio can significantly enhance your machine learning workflows. -------------- #cloud #java #watsonstudio