數位經濟正經歷一場由兩大趨勢驅動的巨大變革,即時資料分析的龐大需求為其一,另一則是生成式人工智慧 (Generative AI) 的快速發展。一場激烈的生成式 AI 競賽正如火如荼的進行中,科技巨頭如亞馬遜 (Amazon)、谷歌 (Google)、微軟 (Microsoft) 皆大舉投資生成式 AI 的研發創新。根據彭博智庫 (Bloomberg Intelligenc...
Infuse your apps with generative AI agents that humanize digital interactions, supercharge productivity, and redefine performance boundaries using LLMs, natural language, and your own data. 2024 Q1 OutSystems Data Fabric OutSystems Data Fabric solves your data headaches. Take advantage of your own vi...
A common architecture used in generative AI is the Generative Adversarial Network (GAN). A GAN consists of two neural networks, the generator and the discriminator, that compete against each other. The generator produces data and the discriminator evaluates it against the real data, learning to di...
The rapid evolution of AI has led to powerful tools for knowledge retrieval and question-answering systems, particularly with the rise of Retrieval-Augmented Generation (RAG) systems. This blog post introduces my capstone project, created as part of the IXN program at UCL ...
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RAG / 对话式 RAG 过去被归类为信息检索(IR)领域,最初通过神经搜索(Neural Search)、知识图谱(Knowledge Graphs)进行改进,后面才是基于 generative loop(译者注:通过反复生成文本或其他类型的输出,并根据生成结果的反馈进行调整改进,不断提高系统性能。) 的方法(使用 LLMs)进一步提升。Conversational IR[16] 是当...
Generative AI (GenAI) is driving a huge shift in how enterprise tech strategies are developed, and it is only getting started. The ONE Conference provides a roadmap for the next generation of application development, showcasing how GenAI revolutionizes speed, ...
As artificial intelligence (AI) continues to captivate the collective imagination through the latest generation of generative AI models such as DALL-E and ChatGPT, the dehumanizing and harmful features of the technology industry that have plagued it since its inception only seem to deepen and ...
在本文中,我们提出了一种新的生成检索方法(novel generative retrieval approach),其中检索模型自回归解码(autoregressively decode )目标候选者的标识符。为此,创建语义上有意义的码字元组,作为每个Item的语义ID。给定用户会话中Item的语义ID,将训练基于transformer的序列到序列模型来预测用户将与之交互的下一个Item的语义...
At the event, SenseTime not only showcased their large language model's capabilities, but also demonstrated a series of generative AI models and applications, such as text-to-image creation, 2D/3D digital human generation, and complex scenario/detaile...