Reliability Patterns for AI Systems: Circuit Breakers, Retries, Fallbacks
Circuit breakers, retries, and fallbacks for AI systems require LLM-aware tweaks. The 2026 reliability patterns that actually hold up.
7 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 251 of 631
Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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Ring Attention Explained: Distributing Attention Across GPUs
Ring attention enables million-token contexts by distributing attention across GPUs. The 2026 implementations and what they enable.
7 min read
Self-Correcting RAG: CRAG, Self-RAG, and the Loop That Fixes Wrong Retrievals
Naive RAG retrieves wrong documents and answers from them confidently. The 2026 self-correcting RAG patterns that detect and fix bad retrievals.
8 min read
From Single-Turn to Multi-Day Agents: The 2026 Spectrum
Agent workloads span single-turn responses to multi-day autonomous runs. The 2026 architectural patterns differ sharply at each scale.
8 min read
Small Language Models That Beat GPT-4: Phi-4, Gemma-3, and SmolLM-3 Benchmarks
By 2026, sub-10B models beat 2024-era GPT-4 on most benchmarks. The Phi-4, Gemma-3, and SmolLM-3 family compared head-to-head.
8 min read
Sparse Attention Patterns: Sliding Window, Longformer, BigBird Today
Sparse attention patterns are back in production for long-context inference. The 2026 implementations and where each pattern wins.
7 min read
Streaming RAG: Generating While Still Retrieving
Latency-sensitive RAG can begin generating before retrieval completes. The 2026 streaming-RAG patterns and where they pay back.
8 min read
Streaming vs Batch Inference: When Each Wins
Streaming gives perceived speed; batch gives throughput. The 2026 deployment guide for when to pick each and how to do hybrid.
7 min read
Structured Output Prompts: JSON Schema, XML, and Function-Call Modes
Three structured-output approaches, three different reliability profiles. The 2026 best practices for getting clean structured output from LLMs.
8 min read