암환자 개개인에 맞는 항암치료제 찾기 - 반려동물에서 사람으로
Discover how ImpriMed's AI technology revolutionizes cancer treatment by predicting drug responses and finding optimal therapies - from helping pets to potentially transforming human cancer care.
Scaling LLM Inference - AWS Inferentia Meets Ray Serve on EKS
Discover how to build scalable, cost-effective LLM inference infrastructure using Ray Serve and AWS Inferentia on Amazon EKS, optimizing deployment of models like Llama2 and Mistral-7B.
Akash Network - Powering Ray on an Open Source Super Cloud
Discover how Akash Network's open-source super cloud platform revolutionizes distributed computing and AI workloads, featuring real-world applications and live demonstrations of Ray clusters with vLLM and Llama-3.1.
Navigating the Future of Coding Assistants - Trends and Best Practices
Explore the evolving landscape of AI coding assistants, from implementation strategies to best practices, while learning to balance automation with human expertise in modern development.
Creating an AI-Powered Financial Advisor with Spring AI and RAG
Master building an AI-powered financial document analyzer using Spring AI and RAG (Retrieval Augmented Generation). Implement vector databases, document processing, and intelligent data retrieval in Java applications.
Magic of Locators in Testim - Tutorial 8
Master Testim's AI-powered locator system to create stable automated tests. Learn to use regex patterns, parameters, and confidence scoring for robust element identification across UI changes.
Pushing Infrastructure Boundaries: Memory Requirements in AI Data Centers
Explore how AI applications are transforming hyperscale data centers, focusing on memory innovations and infrastructure adaptations needed for GPU-centric computing environments.
Cloud Native Observability for 5G and 6G Networks
Discover how to implement multi-cloud observability solutions for 5G/6G networks using open-source approaches, enabling AI-OPS and real-time monitoring across the entire network stack.
Software Development in the AI Era - The Evolution of Software 3.0
Explore how AI coding assistants are transforming software development, technical specifications, and development lifecycles in this forward-looking examination of Software 3.0.
Advanced Python Multi-Agent AI Development with RAG, Streamlit, and Langflow
Master advanced Python AI development by building a multi-agent system using Langflow, Streamlit, and AstraDB. Create interactive applications with multiple LLMs, task routing, and a user-friendly frontend interface.
Lightweight Deep Learning on Edge Devices - Energy Efficient Approaches
Discover efficient deep learning techniques for edge devices, focusing on energy-saving approximation methods that maintain accuracy while improving performance on smartphones and IoT devices.
Augmented Reality Development with ARKit Framework
Dive into augmented reality development with Apple's ARKit framework, learning essential techniques and practical implementations for creating immersive AR experiences and interactive applications.
Revolutionizing AI Adoption with No-Code Efficiency for AI and ML Development
Discover how no-code platforms revolutionize AI and ML development, enabling professionals to design and deploy machine learning models without extensive coding expertise.
Mastering AI Issue Debugging - A Data Scientist's Guide
Discover efficient AI debugging techniques through a unified system that streamlines troubleshooting processes, reduces resolution time, and improves product quality for data science teams.
Expert API LLM Gorilla-7B: Writing Code for APIs Using Large Language Models
Discover how Gorilla-7B, an API-optimized language model, generates complete code sequences from natural language prompts for tasks like image recognition and language translation.
Establishing AI Trust Using Validation Pipelines
Explore practical strategies for validating AI outputs through automated pipelines, ensuring reliability and building confidence in AI-driven solutions.
Building AI-Powered Applications with Rust and Docker
Dive into building an AI-powered application using Rust and Docker, exploring web development capabilities, containerization, and practical implementation with step-by-step guidance.
Spring Boot 3.x and Java 21 - Next Generation Development
Discover the latest advancements in Spring Boot 3.x and Java 21, exploring AI integration, virtual threads, GraalVM optimization, and cutting-edge features for modern Java development.
HugeGraph's Self-controlled Storage, High-Performance Computing, and the Future of AI
Explore HugeGraph's innovative approach to self-controlled storage and high-performance computing, with insights into its role in advancing AI technology and data management.
Eye-tracking and AI: Unveiling the Limitations and Synergies
Explore the fascinating convergence of eye-tracking technology and AI, examining their limitations and potential for collaboration in advancing technological innovation.
Unlocking Security Insights for Everyone with AI - Using Large Language Models
Discover how AI and Large Language Models democratize cloud security by simplifying complex data analysis, enabling plain-language queries, and fostering better organizational collaboration.