Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Large Language Models (LLMs) have transformed how we interact with information. However, their reliance solely on internal knowledge can limit the accuracy and depth of their responses, especially ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and an excellent playground for experimenting with agents. At first glance, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...

Open-source Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. AutoGPT - AutoGPT is the vision of the power of AI accessible to everyone, to use and to ...

Your browser does not support the audio element. I keep hearing the same question at every engineering offsite, Slack thread, and investor pitch: “What’s the best ...

Every security team I talk to is having the same conversation right now. Their developers are shipping AI agents — coding assistants, autonomous workflows, LLM-powered tools that can browse the web, ...

What if you could build an AI system that not only retrieves information with pinpoint accuracy but also adapts dynamically to complex tasks? Below, The AI Automators breaks down how to create a ...