AI & LLMs

5 articles · latest first

Open-model benchmarks, agent tooling, and inference-efficiency trends shaping AI engineering (Late 2025–Early 2026)

Late-2025/early-2026 trends: open-weight models target agentic coding, long-context and multimodal tasks; engineering focuses on inference efficiency, context quality, and orchestration.

Jun 2, 2026·6mai-llmsinference-efficiency

AI & LLMs

Designing Robust Multi-Provider LLM Platforms: Routing, RAG, and Inference Scaling

Design patterns for multi-provider LLM platforms: model routing, RAG-ready retrievers, replayable agents, observability, SLOs, and inference scaling strategies.

May 29, 2026·6mai-architecturellm-platforms

AI & LLMs

Inference-Time Scaling, MoE, and Open-Weight LLMs: Practical Guide (2026)

2026 roundup of open-weight LLMs (GLM-5.1, DeepSeek-V4-Pro, Kimi-K2.6, Qwen3.5-397B, Gemma-4) with practical guidance on inference scaling, MoE, and benchmarks.

May 27, 2026·6mopen-source-llmsinference-optimization

AI & LLMs

Open-weight MoE & Long-Context LLMs Powering Agentic Code Workflows (2025–26)

Open-weight MoE, long-context attention, and inference/post-training shaped 2025–26 LLM engineering for agentic code workflows and platform operations.

May 25, 2026·6mopen-llmsmixture-of-experts

AI & LLMs

Agentic LLMs and Open-Weight Code Models: Engineering Practices for 2026

Agentic LLM workflows and open-weight code models in 2026: engineering guidance on routing, quantization, MoE, verifier loops, adapters, and CI benchmarks.

May 25, 2026·6mai-llmsagentic-models