A data-centric approach to AI prioritizes improving data quality over tweaking models or code. As AI shifts toward unstructured data like text and images, traditional tools fall short. Data and analytics architects can address these challenges using four key pillars: data preparation and exploratory analysis, feature engineering, data labeling and annotation, and data augmentation. These pillars enable the creation of high-quality, AI-ready datasets, enhanced by modern tools like automation, low-code platforms, and synthetic data generation for scalable, intelligent systems.
AI agents rely on a layered architecture: Data (storage & retrieval), Model (learning & decision-making), and Deployment (scalability & reliability). Developers must choose between open-source tools (flexibility) and commercial solutions (support & integration).
Key considerations include context management, prompt engineering, error handling, security, and scalability. AI agents are transforming customer service, sales, and software development, with future trends pointing toward specialized AI, proactive automation, and AI-assisted coding.
CGDevX has always been about making things easier and more reliable for developers, and today we're announcing the release of the CGDevX Cloud Application Starter Kit (CNASK).
OpenAI, Google, and Meta streaking towards multimodal AI, enabling more human-like interactions and revolutionizing various applications.
Delve into the cost analysis of running AI compute resources independently versus utilizing hosted models. Learn about AWS pricing for GPU instances and consider factors like workload scheduling and hardware options.
Learn to harness the full potential of Meta's Code Llama in your coding workflow. Explore step-by-step instructions for using Code Llama directly within your favorite IDE and discover the benefits of local and cloud-based setups. Level up your coding game with Code Llama today!
How CGDevX, the open-source tool for platform engineering reference implementation from CloudGeometry, paves a golden path forward from DevOPs with its latest update, integrating workload management to streamline software delivery and application modernization. Its a modular, GitOps-driven approach enables enhanced operational efficiency and reliability.
Explore how Meta's Code Llama AI tool enhances coding workflows, from code generation to bug identification. Learn how it benefits developers of all levels and its technical superiority over other models...
ON-DEMAND WEBINAR: Neither software updates nor migration alone are enough for cloud success. CloudGeometry experts Nick Chase and David Fishman present why it's never too late, nor too soon, to make sense of strategic technology choices – across the challenges and opportunities of modernizing your application, your platform, and your Cloud portfolios.
Explore Hugging Face JS, a game-changer for JavaScript developers. Tap into a vast array of pre-trained AI models effortlessly. Elevate your projects with Hugging Face's efficient and...
ICYMI: Nick Chase's tech talk on 'End-to-End MLOps with MLflow and Kubeflow' from the AI.Dev Summit presented by the Linux Foundation.
EU's AI Act: A game-changer in global AI regulation, introducing binding rules, transparency in AI usage, and significant fines for...
Discover key 2023 trends in Platform Engineering from Humanitec's survey. Insights on AI integration, salary differences, job titles, and work patterns...
Discover CGDevX by CloudGeometry, a cutting-edge platform engineering reference implementation. Transform development with automated workflows, CI/CD, and collaboration for efficient, high-quality...
CloudGeometry, CEO
:
"In today's rapidly evolving business landscape, understanding the fundamentals of AI Agents is no longer optional for leaders".
