Tag: LLM
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Serverless for AI: Redefining Scalability and Efficiency
Discover how serverless AI transforms scalability and efficiency, with no infrastructure management, dynamic scaling, and cost-effective solutions.
Understanding the AI Inference Landscape: Models, Methods, and Infrastructure
Explore the AI inference landscape, covering closed models, managed open-source solutions, and fine-tuned DIY approaches. Learn about infrastructure, use cases, and optimization strategies to deploy effective AI solutions.
Why Learning to Code in 2025 Still Matters
Discover why learning to code in 2025 is still a game-changer. Explore actionable strategies, coding tips, and opportunities in the evolving AI landscape.
The Evolution from SaaS to Agents: Satya Nadella’s Vision for the Future of Application Architectures
Discover how AI agents are transforming the future of workflows, disrupting SaaS models, and enabling seamless orchestration across applications in the post-SaaS era.
Tool Calling for LLMs: Foundations and Architectures
Explore the foundations of tool calling for LLMs, covering architectures, advanced tool definitions, integration techniques with LangChain and OpenAI, and version management for production-ready AI systems.
Tool Calling for LLMs: Production Strategies and Real-World Applications
Tool calling for LLMs empowers production systems with error handling, scalability, and integrations. Learn advanced strategies and real-world use cases.
Outlines: Structured Text Generation for LLM Applications
Discover how Outlines simplifies structured text generation for LLM applications. Learn about its features, structured generation techniques, and integration capabilities to build reliable and efficient AI-powered solutions.
Haystack: The Open-Source Memory System for LLM Applications
Discover how the Haystack memory system for LLM applications simplifies building intelligent workflows. Explore its modular architecture, RAG capabilities, and practical use cases in this deep dive for developers.
Mem0 Memory System for AI Applications: Revolutionizing Context Retention
Explore the Mem0 memory system for AI applications, designed to enhance personalization, context retention, and adaptability. Learn how Mem0 transforms AI interactions with intelligent memory management.
Semantic Kernel Developer Guide: Mastering AI Integration
Semantic Kernel Developer Guide: Master integration of AI into applications using Python, advanced plugins, RAG, and best practices in this comprehensive guide.
Kubernetes: Simplifying Cloud-Native Workflows and Enabling AI
Kubernetes is simplifying cloud-native workflows and enabling AI workloads at scale. Learn how Kubernetes enhances developer productivity, streamlines multi-cluster management, and supports sustainable cloud-native deployments.
Kubernetes for AI Workloads and Cloud-Native Innovation
Kubernetes is revolutionizing AI workloads. Learn how to scale models, ensure security, and embrace sustainable practices using Kubernetes and its advanced tools.