RAG

Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs – MarkTechPost

by

Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs  MarkTechPost Article Source https://www.marktechpost.com/2024/10/11/google-ai-researchers-propose-astute-rag-a-novel-rag-approach-to-deal-with-the-imperfect-retrieval-augmentation-and-knowledge-conflicts-of-llms/

Boost your AI with Azure’s new Phi model, streamlined RAG, and custom generative AI models | Microsoft Azure Blog

by
Boost your AI with Azure’s new Phi model, streamlined RAG, and custom generative AI models | Microsoft Azure Blog

We’re excited to announce several updates to help developers quickly create AI solutions with greater choice and flexibility leveraging the Azure AI toolchain. As developers continue to develop and deploy AI applications at scale… Article Source https://azure.microsoft.com/en-us/blog/boost-your-ai-with-azures-new-phi-model-streamlined-rag-and-custom-generative-ai-models/

Updates to Amazon Bedrock: Incorporating Contextual Grounding and RAG connectors

by
Updates to Amazon Bedrock: Incorporating Contextual Grounding and RAG connectors

Amazon Web Services (AWS) recently updated its Generative AI development service with new features to help businesses create applications more easily. These updates include contextual grounding, connectors for Recovery Augmented Generation (RAG), and additional Large Language Models (LLM). According to Vasi Philomin, Amazon’s Vice President of Generative AI, contextual grounding is a new feature aimed … Read more

AWS introduces innovative RAG evaluation method to cut down enterprise AI expenses

by

The new AWS theory proposes an automated RAG evaluation mechanism to enhance the development of AI-based generative applications and reduce IT infrastructure costs for companies. RAG is used to address hallucinations in Large Language Models (LLM) by incorporating external knowledge to improve responses. This approach helps reduce mind-bending in LLMs and drives business outcomes for … Read more

Selecting the Right CPUs for Optimal Deployment of Generative AI Applications: Transitioning from Inference to RAG – Oracle

by

Generative AI applications have become increasingly popular in recent years, with demands for more efficient implementations rising. One key factor in achieving this efficiency is choosing the right CPU for the task. One approach that has gained attention is the use of the RAG framework, which stands for Retrieve, Aggregate, and Generate. This framework allows … Read more

Transforming Healthcare with AI: Creating a Cutting-Edge Chatbot with Mixtral, Oracle 23AI, RAG, LangChain, and More – Oracle

by

The healthcare industry is undergoing a significant transformation with the help of artificial intelligence technologies. One of the groundbreaking developments in this field is the creation of an advanced chatbot that leverages the capabilities of Mixtral, Oracle 23AI, RAG, LangChain, and Oracle. This chatbot is revolutionizing healthcare by providing patients with personalized and efficient care. … Read more

Create RAG and agent-based generative AI apps using the latest Amazon Titan Text Premier model on Amazon Bedrock | AWS

by
Create RAG and agent-based generative AI apps using the latest Amazon Titan Text Premier model on Amazon Bedrock | AWS

Amazon presenta un nuevo modelo de lenguaje grande (LLM) llamado Amazon Titan Text Premier dentro de su familia de modelos Titan Amazon. Este nuevo modelo se une a Titan Text Lite y Titan Text Express, ofreciendo diferentes opciones para aplicaciones basadas en texto. Titan Text Premier tiene una longitud de contexto máxima de 32,000 tokens … Read more

Discovering the Use of RAG Applications in Different Languages through a Discussion of the Mishnah

by
Discovering the Use of RAG Applications in Different Languages through a Discussion of the Mishnah

Construyendo una aplicación RAG multilingüe para interactuar con textos rabínicos En este artículo, se detalla el proceso de creación de una aplicación de generación aumentada de recuperación (RAG) para interactuar con textos rabínicos. La aplicación, llamada MishnahBot, tiene como objetivo proporcionar a académicos y usuarios una forma intuitiva de consultar y explorar la Mishná de … Read more

Develop a cutting-edge multimodal assistant powered by advanced RAG and Amazon Bedrock on Amazon Web Services

by
Develop a cutting-edge multimodal assistant powered by advanced RAG and Amazon Bedrock on Amazon Web Services

Retrieval Augmented Generation (RAG) models have been developed to improve the capabilities of language models by incorporating external knowledge from large text corpora. Despite their success in various natural language processing tasks, RAG models still have limitations such as missing content, reasoning mismatch, and challenges in dealing with multimodal data. To address these shortcomings, a … Read more