This week in artificial intelligence (AI) news, as large language models (LLMs) near technical limits, the focus shifts to retrieval-augmented generation (RAG), which combines information retrieval with natural language generation, and Walmart is updating its distribution centers by introducing autonomous electric forklifts, marking a significant step in AI-driven robotics in the industry. AI’s Tomorrow? RAG Converges Language and Search. As large language models (LLMs) approach technical limitations, attention shifts to retrieval-augmented generation (RAG), which merges information retrieval with natural language generation, potentially reshaping AI

As experts hint at the nearing technical limits of large language models (LLMs), the spotlight turns to retrieval-augmented generation (RAG) — a promising advancement that could redefine artificial intelligence (AI) by merging information retrieval with natural language generation. LLMs have led AI technology and improved various applications. However, their tendency to generate false information has limited their potential. RAG allows AI to access and incorporate specific external data into its responses, making them more effective and accurate. “The main advantage of RAGs over LLMs is the fact that the former is based entirely on a proprietary data set that the owner of said RAG can control, allowing for more targeted applications,” Renat Abyasov, CEO of the AI company Wonderslide told PYMNTS. “Let’s say a doctor wants to deploy a chatbot for their patients; using an RAG will allow them to ensure that the advice provided by said chatbot will be reliable and consistent

CustomGPT.ai Outperforms OpenAI and Sets New Industry Standard for Answer Accuracy in Industry RAG BenchmarkBoston -based Startup Advances its Commitment to Transparency and Trustworthiness through Tonic.ai EvaluationIn a groundbreaking demonstration of its capabilities, CustomGPT.ai has surpassed industry giants in the latest independent Retrieval-Augmented Generation (RAG) benchmark evaluations conducted by Tonic.ai, a pioneer in data mimicking and de-identification. The findings set a new standard for accuracy and answer quality in the field of artificial intelligence technology.CustomGPT.ai is among the first AI tech companies offering a no-code business-grade platform empowering organizations to build hyper-personalized ChatGPT-style AI using their own data and deliver answers in real time based on that data.“CustomGPT.ai is the clear winner in this RAG face-off,” shares Adam Kamor, PhD, in a February 27, 2024 Tonic blog. “Of note, CustomGPT.ai’s median score was a 5, something not seen before by the RAG assistants we’ve evaluated. It is easy to configure, just like OpenAI, but answer quality was superior.”Marketing Technology News: Fineshare FineVoice Now Embraces its 1.5 Version Upgrade as a Versatile AI Voice StudioKamor, Tonic’s co-founder and head of engineering, collaborated with colleagues to publish results from six RAG evaluations. Others include Google’s Vertex Search and Conversation, Amazon Titan and Cohere.“CustomGPT.ai powers MIT Orbit, a popular one-stop shop for MIT entrepreneurs seeking resources and connection with community,” stated Doug Williams, product lead at the Martin Trust Center for MIT Entrepreneurship. “We uploaded documents, help desk repositories, YouTube videos and other sources, then instructed the AI to make our knowledge base readily retrievable