Tagged "quantization-strategies"
5 articles tagged quantization-strategies, 18 March 2026 to 30 July 2026. Newest first.
-
I Built a Free AI Curriculum from Philosophy to LLMs
A comprehensive educational curriculum spanning foundational concepts through practical LLM implementation provides accessible learning resources for practitioners.
-
Phison and Intel Roll Out aiDAPTIV to Boost Local AI on Intel AI PC Platforms
Phison and Intel have launched aiDAPTIV, a collaborative optimization framework designed to accelerate local AI inference on Intel AI PC platforms. The initiative bridges storage and compute to improve overall system efficiency for on-device model deployment.
-
Mixed KV Cache Quantization: Performance Risks and Pitfalls
A technical deep-dive warning against mixed-precision KV cache quantization, revealing accuracy degradation that contradicts common optimization assumptions.
-
You're Using Your Local LLM Wrong If You're Prompting It Like a Cloud LLM
A practical guide highlighting how local LLM prompting strategies differ from cloud-based models, offering insights into optimizing inference for self-hosted deployments. This addresses a critical gap where many practitioners apply cloud LLM techniques to local models without accounting for architectural differences.
-
Snapdragon 8 Elite Gen 5 Hands the Galaxy S26 the AI Upgrade We've Been Waiting For
Qualcomm's Snapdragon 8 Elite Gen 5 delivers significant improvements to on-device AI performance through enhanced neural processing units, enabling more sophisticated local LLM inference on flagship smartphones. This hardware evolution supports increasingly capable models running natively on mobile devices.