One of the key advantages of Amazon Bedrock is its ability to simplify the development process. Instead of grappling with the intricacies of training and fine-tuning FMs, you can leverage
This blog post is part of a series of deep-dives into how Firemind integrated their PULSE tool with the AWS Marketplace. In this post we’re going to focus specifically on
In this article, we explore three compelling use cases where generative AI can be leveraged to fuel your data and drive tangible business outcomes. Reducing extremely tedious labour (ETL)
At Firemind we’re incredibly lucky to have a great product team who have worked tirelessly to get PULSE ready for enterprise production as we help existing and new organisations get
Knowledge Bases for Amazon Bedrock enable foundation models (FMs) and agents to retrieve contextual information from private data sources, enhancing the relevance, accuracy, and customisation of Retrieval Augmented Generation (RAG)
Amazon Bedrock, a fully managed service for building and deploying large language models (LLMs), has introduced a powerful feature called Guardrails. This feature enables customers to implement safeguards based on
Amazon Bedrock, a fully managed service for building and deploying large language models (LLMs), has recently introduced a groundbreaking feature: Agents. These intelligent agents empower developers to create sophisticated, multi-step
In the past few months, two exciting new models have been introduced in Amazon Bedrock, the cloud-based platform that provides access to cutting-edge generative AI technologies. First, Anthropic has
In the ever-evolving landscape of artificial intelligence, the introduction of Amazon Titan Text Premier marks a significant milestone. This latest addition to the Amazon Titan family of models, now available
Amazon Q Business, a generative AI-powered assistant, is now generally available, offering a range of features to boost workforce productivity within enterprises. Introduced at AWS re:Invent 2023, Amazon Q Business