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AntTech
AntTech
Apr 23, 2026 · Artificial Intelligence

Ling-2.6-flash: Faster Response, Stronger Execution, and Higher Token Efficiency for Agent Workloads

Ling-2.6-flash is a 104B‑parameter Instruct model that uses a mixed‑linear architecture and token‑efficiency optimizations to achieve up to 340 tokens/s inference speed, 4× higher throughput than comparable models, and ten‑fold lower token consumption on Agent benchmarks, while maintaining SOTA performance.

Agent OptimizationInference EfficiencyLLM
0 likes · 15 min read
Ling-2.6-flash: Faster Response, Stronger Execution, and Higher Token Efficiency for Agent Workloads
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 31, 2025 · Artificial Intelligence

Why AI Agents Fail and 10 Proven Ways to Make Them Reliable

This article shares the practical lessons learned from building Alibaba Cloud’s digital employee "YunXiaoEr Aivis", explaining why large‑language‑model agents often miss expectations and presenting ten concrete strategies—ranging from clear prompt design to memory management—that dramatically improve multi‑agent reliability.

AI agentsAgent OptimizationContext Engineering
0 likes · 29 min read
Why AI Agents Fail and 10 Proven Ways to Make Them Reliable