Cache-Augmented Generation(CAG): The Future Of AI Efficiency
Cache-Augmented Generation (CAG) enhances AI efficiency by preloading knowledge, cutting latency and costs vs. RAG. Ideal for static data, it faces scalability and staleness…
Read moreCache-Augmented Generation (CAG) enhances AI efficiency by preloading knowledge, cutting latency and costs vs. RAG. Ideal for static data, it faces scalability and staleness…
Read moreHuawei Connect 2025 unveiled a bold open-source AI strategy. By Dec 2025, CANN, MindSpore, and openPangu models will be released, creating a global alternative…
Read moreAccenture has launched a $865 million restructuring program in 2025, cutting over 11,000 jobs while reskilling its 700,000-strong workforce in agentic AI. The move…
Read moreOpenAI has launched ChatGPT Pulse, a premium $200/month feature that delivers proactive morning briefings in the form of 5–10 curated visual cards. By combining…
Read moreNvidia to invest up to $100B in OpenAI, deploying 10GW of GPUs by 2026 to scale AI infrastructure, reshape compute, and fuel the next…
Read moreAI deception and hallucinations threaten trust in LLMs. ASE, RAG, and pragmatic benchmarks help reduce risks, driving safer, reliable AI systems. Large language models…
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