Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...
A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...