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Artificial Intelligence (AI) is the field developing computers and robots capable of parsing data contextually to provide requested information, supply analysis, or trigger events based on findings. Through techniques like machine learning and neural networks, companies globally are investing in teaching machines to ‘think’ more like humans. Below are some of the latest AI news from the industry:
Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock
Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses generative artificial intelligence (AI) to ...
Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents
Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges. In this post, we explo ...
Build ultra-low latency multimodal generative AI applications using sticky session routing in Amazon
Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to help meet your ML inference needs. It also helps ...
Rethinking LLM Memorization
Introduction A central question in the discussion of large language models (LLMs) concerns the extent to which they memorize their training data versus how they generalize to new tasks and settings. Most practitioners seem to (at least informally) believe that LLMs do some degree of both: they clearly memorize parts of the training data—for example, they ...
Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart
Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity. The FMs are typically pret ...
Best prompting practices for using Meta Llama 3 with Amazon SageMaker JumpStart
Llama 3, Meta’s latest large language model (LLM), has taken the artificial intelligence (AI) world by storm with its impressive capabilities. As developers and businesses explore the potential of this powerful model, crafting effective prompts is key to unlocking its full potential. In this post, we dive into the best practices and techniques for prompting ...
How healthcare payers and plans can empower members with generative AI
In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. Many health insurance plan beneficiaries find it challenging to navigate through the complex member portals provided by their insurance plans. These portals often require multiple clicks, filters, and searches to find spe ...
Enabling production-grade generative AI: New capabilities lower costs, streamline production, and boost security
As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. In what we consider “Act 1” of the generative AI story, we saw previously unimaginable amounts of data and compute create models that showcase the power of generative AI. Just last ye ...