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This article is from The Debrief with Mat Honan, MIT Technology Review’s weekly newsletter from its editor in chief. To receive it every Friday, sign up here. In case you missed the memo, we are barreling toward the next big consumer device category: smart glasses. At its developer conference this week, Meta (née Facebook) introduced a positively mind-blowing… Read more

Table of contents Introduction to Chunking in RAGOverview of Chunking in RAGDetailed Analysis of Each Chunking MethodChoosing the Right Chunking TechniqueConclusion Introduction to Chunking in RAG In natural language processing (NLP), Retrieval-Augmented Generation (RAG) is emerging as a powerful tool for information retrieval and contextual text generation. RAG combines the strengths of generative models with… Read more

Large Language Models (LLMs) evaluate and interpret links between words or tokens in a sequence primarily through the self-attention mechanism. However, this module’s time and memory complexity rises quadratically with sequence length, which is a disadvantage. Longer sequences demand exponentially more memory and processing, which makes scaling LLMs for applications involving longer contexts inefficient and… Read more

L’avvento dell’intelligenza artificiale generativa ha introdotto l’ennesima variabile nel complesso e mutevole panorama delle minacce informatiche e la cybersicurezza resta un allarme costante per il CIO. Secondo il “Forecast: information security and risk management worldwide, 2021-2027” di Gartner [in inglese], il mercato dell’information security e gestione del rischio crescerà da un giro d’affari di 185… Read more

Human-sensing applications such as activity recognition, fall detection, and health monitoring have been revolutionized by advancements in artificial intelligence (AI) and machine learning technologies. These applications can significantly impact health management by monitoring human behavior and providing critical data for health assessments. However, due to the variability in individual behaviors, environmental factors, and the physical… Read more

Gov. Gavin Newsom’s veto of SB 1047 has been hailed by some industry veterans as good for open source innovation.Read More Read more

In recent years, Voice Transfer (VT) technology has made notable strides, particularly in applications such as Text-to-Speech (TTS), Voice Conversion (VC), and Speech-to-Speech Translation. However, achieving high-quality zero-shot or one-shot voice transfer, especially for unseen speakers, remains a significant challenge. In a new paper Zero-shot Cross-lingual Voice Transfer for TTS, a Google research team presents… Read more

From explicit fact retrieval to hidden rationales, all you need to know about data-augmented LLM applications.Read More Read more

Can’t decide between clear or frosted glass? Home Depot’s Smart Glass door, available starting today, lets you have both for a reasonable price. Read more

Protein language models (pLMs), trained on protein sequence databases, aim to capture the fitness landscape for property prediction and design tasks. While scaling these models has become common, it assumes that the source databases accurately reflect the fitness landscape, which may not be true. Understanding protein function was historically tied to predicting structure based on… Read more