Tagged "local-llm-optimization"

5 articles tagged local-llm-optimization, 11 February 2026 to 24 May 2026. Newest first.

• Why AI Hardware Is a Chip Layer Problem 24 May 2026

  On-device AI deployment requires fundamental hardware redesigns at the chip level, with implications for how local LLM inference will be optimized across consumer devices.

• Xmemory: Benchmarking Structured AI Memory Against RAG and Hybrid RAG 1 May 2026

  A new benchmark comparing structured AI memory systems against retrieval-augmented generation (RAG) approaches, providing insights for optimizing local LLM deployments with better context management and memory efficiency.

• You're Using Your Local LLM Wrong If You're Prompting It Like a Cloud LLM 18 March 2026

  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.

• Extracting 100K Concepts from an 8B LLM 27 February 2026

  Research demonstrates how to extract and discover 100,000 interpretable concepts from an 8-billion parameter language model, enabling better understanding and control of smaller models suitable for local deployment.

• Developer Switches from Ollama and LM Studio to llama.cpp for Better Performance 11 February 2026

  A detailed comparison reveals why switching to raw llama.cpp can provide better control and performance for local LLM deployment compared to popular GUI tools.