Stories, tutorials, and deep dives spanning across diverse worlds.
Comprehensive guide covering LangGraph vs DSPy: Declarative Prompt Optimization vs Graph State Machines for AI Agents with production-grade architecture and code examples.
Deep-dive architectural guide covering speculative decoding in vllm: tripling llm inference throughput with eagle & medusa with battle-tested production examples.
Comprehensive guide covering Continuous Dynamic Batching in LLM Inference: Orca, vLLM & TGI Latency Benchmarks with production-grade architecture and code examples.
Comprehensive guide covering Fine-Tuning DeepSeek R1 with Unsloth & LoRA: Memory-Efficient Reasoning Models with production-grade architecture and code examples.
Comprehensive guide covering DeepSeek V3 Architecture Deep Dive: Multi-Head Latent Attention (MLA), DeepSeekMoE & FP8 Mixed Precision with production-grade architecture and code examples.
Comprehensive guide covering Building Custom MCP Servers & Clients in TypeScript: Tools, Resources & Prompts Architecture with production-grade architecture and code examples.
Comprehensive guide covering SGLang vs vLLM: High-Throughput LLM Inference, RadixAttention & Structured Decoding with production-grade architecture and code examples.
Comprehensive guide covering vLLM PagedAttention Deep Dive: KV Cache Memory Fragmentation, Chunked Prefill & Prefix Caching with production-grade architecture and code examples.
Cut vLLM TTFT by up to 2.5× using Medusa multi-head speculation and EAGLE draft models. Includes GPU benchmarks, config flags, and when speculative decoding hurts throughput instead of helping.
Comprehensive guide covering DeepSeek-R1 & Distilled Reasoning Models: Local vLLM Deployment, Quantization & Architecture with production-grade architecture and code examples.
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