Cisco survey: increased knowledge of privacy laws leads to more trust in AI VatorNews Article Source https://vator.tv/news/2024-10-30-cisco-survey-increased-knowledge-of-privacy-laws-leads-to-more-trust-in-ai
Google now has the ability to expand sections of knowledge panels on the desktop search interface. So when you search for Elon Musk and want to see his children, Google needs to have a down arrow to show more that expands on… Article Source https://www.seroundtable.com/google-knowledge-panels-expandable-38271.html
Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes. Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions… Article Source https://aws.amazon.com/blogs/machine-learning/dive-deep-into-vector-data-stores-using-amazon-bedrock-knowledge-bases/
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/
Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. Amazon Q Business offers over 40… Article Source https://aws.amazon.com/blogs/machine-learning/unlock-the-knowledge-in-your-slack-workspace-with-slack-connector-for-amazon-q-business/
Knowledge Bases for Amazon Bedrock provides a managed service for implementing the Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without the need for custom integrations. However, in large or complex input text documents with PDF or .txt files, querying indexes may yield subpar results due to semantic relationships. New features … Read more
Amazon Bedrock has recently added new features to its models and agents to enhance the Recall Augmented Generation (RAG) process. These updates allow for more relevant, accurate, and personalized responses. In addition to Amazon S3, users can now connect web domains, Confluence, Salesforce, and SharePoint as data sources to RAG apps, which is currently in … Read more
Knowledge Bases for Amazon Bedrock is a fully managed capability that helps securely connect base models (FM) in Amazon Bedrock to your company’s data through Retrieve and Generate (RAG) enhanced generation. This feature optimizes the entire RAG workflow, from ingest to retrieval and increased requests, eliminating the need for custom data source integrations and data … Read more
According to a recent report, the Buffalo Bills should not be overly concerned about possible information regarding safety Jordan Poyer potentially being leaked to the Miami Dolphins. An insider claims that the Bills should not lose sleep over the situation. The article suggests that the information about Poyer should not be a major concern for … Read more
Amazon announced that Knowledge Bases for Amazon Bedrock are now generally available as of November 2023. This feature allows users to maximize Retrieval Augmented Generation (RAG) by integrating their company data into the language model’s generation process. By incorporating unique data sources, organizations can enhance the relevance, accuracy, and contextual awareness of the language model’s … Read more