Meta has officially released the first models in its new Llama 4 family--Scout and Maverick--marking a step forward in its open-weight large language model ecosystem. Designed with a native multimodal architecture and a mixture-of-experts (MoE) ...
Anil Rajput and Rema Hariharan discuss the crucial role of CPU architecture in optimizing Large Language Model (LLM), specifically Llama, performance. They explain hardware-software synchronization for TCO reduction and latency improvements. Learn .. ...
In this article, authors discuss how multi-model retrieval augmented generation (RAG) techniques can enhance AI by integrating multiple modalities like text, images, and audio for deeper contextual understanding, with help of a practical example of a ...
QCon AI focuses on practical, real-world AI for senior developers, architects, and engineering leaders. Join us Dec 16-17, 2025, in NYC to learn how teams are building and scaling AI in production--covering MLOps, system reliability, cost ...
During the recent Cloudflare Security Week 2025, the cloud provider announced various improvements to its cybersecurity services and multiple reports analyzing trends and challenges in security threats. Additionally, they announced AI Labyrinth, a .. ...
During her KubeCon Europe keynote, Christine Yen, CEO and co-founder of Honeycomb, provided insights on how observability can help cope with the rapid shifts introduced by the integration of LLMs in software systems, which transformed not only the .. ...
Igor Canadi discusses the architecture of their real-time search analytics SQL database built on RocksDB. He explains their cloud-native design, custom RocksDB replication, shared hot storage solution, and how they optimized RocksDB for efficient ...
Amazon has announced an expansion of its generative AI capabilities with the introduction of nova.amazon.com, a platform designed to give developers easier access to its foundation models. This includes the newly unveiled Amazon Nova Act, an AI model ...
This article explores the use of domain-specific Generative AI, models that understand operational constraints, real-world dynamics, and business rules to generate executable strategies, not just text descriptions. These models require significantly ...