Architectures
Salesforce AI Released APIGen-MT and xLAM-2-fc-r Model Series: Advancing Multi-Turn Agent Training with Verified Data Pipelines and Scalable LLM Architectures
AI agents quickly become core components in handling complex human interactions, particularly in business environments where conversations span multiple turns and involve task execution, information extraction, and adherence to specific procedural rules. Unlike traditional chatbots that handle single-turn questions, these agents must hold context over several dialogue exchanges while integrating external data and tool usage….
Transformers and Beyond: Rethinking AI Architectures for Specialized Tasks
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced transformers. Initially developed to enhance language translation, these models have evolved into a robust framework that excels in sequence modeling, enabling unprecedented efficiency and versatility across various applications. Today, transformers are not just a tool for natural…
Integrations: From Simple Data Transfer To Modern Composable Architectures — Smashing Magazine
In today’s web development landscape, the concept of a monolithic application has become increasingly rare. Modern applications are composed of multiple specialized services, each of which handles specific aspects of functionality. This shift didn’t happen overnight — it’s the result of decades of evolution in how we think about and implement data transfer between systems….