Category Added in a WPeMatico Campaign
Phrases like “striking the post” and “direct free kick outside the 18” may seem foreign if you’re not a fan of football (for Americans, see: soccer). But for a football scout, it’s the daily lexicon of the job, representing crucial language that helps assess a player’s value to a team. And now, it’s also the …
Read more “How AI-powered recruiting helps Spain’s leading soccer team score”
Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. However, despite their impressive performance in various natural language processing tasks, RAG models still face several limitations that need to be addressed. Naive RAG models face limitations such as …
Read more “Create a multimodal assistant with advanced RAG and Amazon Bedrock”
Meeting client timelines and quality standards is a long-standing challenge for Google Cloud Partners, especially when navigating large legacy codebases, unfamiliar languages, and multiple tools. Partner projects frequently involve code integration across multiple languages — including legacy ones — posing challenges for manual analysis and limiting the effectiveness of automation tools. Further, ensuring reliable error …
Read more “How partners can augment solution development with gen AI”
We used Midjourney to create this image based on the image of Joaquin Phoenix in a poster for the movie “Her” – is that ethical? In the rapidly evolving world of AI, OpenAI recently faced a significant challenge: the removal of a voice named “Sky” from ChatGPT due to its striking resemblance to Scarlett Johansson’s …
Read more “The Controversy of AI Voices and Personal Rights: The Case of “Sky””
How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety
Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes. Have you ever wondered how these algorithms arrive at their conclusions? The answer lies in the data used to train …
Read more “How to establish lineage transparency for your machine learning initiatives”
The rise of generative AI has brought forth exciting possibilities, but it also has its limitations. Large language models (LLMs), the workhorses of generative AI, often lack access to specific data and real-time information, which can hinder their performance in certain scenarios. Retrieval augmented generation (RAG) is a technique within natural language processing that uses …
Read more “Unlocking enhanced LLM capabilities with RAG in BigQuery”
WhatsApp has billions of users worldwide. It has emerged as a critical communication platform where brands must establish a strong presence. 39% of people prefer to use the app as a customer service channel. This is where the WhatsApp chatbot for eCommerce enters the picture. It is offering a revolution in the seamless client journey. Virtual …
Read more “WhatsApp Chatbot for eCommerce: How It Is Transforming Customer Experiences”
Our approach to analyzing and mitigating future risks posed by advanced AI models
Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across …
Read more “AI in commerce: Essential use cases for B2B and B2C”