According to @godofprompt, after reverse-engineering ChatGPT's memory architecture, it was revealed that the platform does not use sophisticated RAG (Retrieval-Augmented Generation) systems or vector ...
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
When I first started experimenting with voice AI agents for real-world tasks like restaurant reservations and customer service calls, I quickly ran into a fundamental problem. My initial monolithic ...
In this tutorial, we walk through the complete implementation of an advanced AI agent system powered by Nomic Embeddings and Google’s Gemini. We design the architecture from the ground up, integrating ...
ABSTRACT: The fight against poverty and inequality continues to gain government attention. Consequently, the government continues to formulate and implement diverse policies with little success.
ABSTRACT: This article explores the challenges and strategies for combating food loss and waste in Latin America’s agricultural sector in the post-COVID-19 era. It critically examines the key drivers ...
Abstract: Within the context of capability-based system-of-systems (SoS), the technology selection involves multiple stakeholders interactively participating in decision-making. In this article, a ...
A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).
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