#ai-architecture

#ai-architecture

The standard approach to Retrieval Augmented Generation (RAG) may need reevaluation as its assumptions could complicate enterprise data management.

Hyperscalers may face challenges with agentic AI's growth, which emphasizes architecture over brute-force resources, leading to slower public cloud expansion than expected.

Aleph Alpha's new LLM architecture enhances multilingual AI efficiency by eliminating tokenizers, allowing for improved processing of languages and reduced energy costs.

Recurrent models can scale as efficiently as transformers, presenting a significant alternative for training and inference efficiency.

Businesses shifting towards open ecosystems for AI and smaller models at the edge for more efficient operations.