A Technology Broker and Management Company Specializing in KM Systems
Favorite Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement. Analyzing these reviews to extract actionable insights enables data-driven
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Shared by AWS Machine Learning August 22, 2024
Favorite Fine-tuning Meta Llama 3.1 models with Amazon SageMaker JumpStart enables developers to customize these publicly available foundation models (FMs). The Meta Llama 3.1 collection represents a significant advancement in the field of generative artificial intelligence (AI), offering a range of capabilities to create innovative applications. The Meta Llama 3.1
Read More Shared by AWS Machine Learning August 22, 2024
Favorite Today, we are excited to announce general availability of batch inference for Amazon Bedrock. This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Call center transcript summarization has become an
Read More Shared by AWS Machine Learning August 22, 2024
Favorite One of the most common applications of generative artificial intelligence (AI) and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Pre-trained foundation models (FMs) excel at natural language understanding (NLU) tasks, including summarization, text generation, and question answering across a
Read More Shared by AWS Machine Learning August 21, 2024
Favorite Amazon SageMaker Ground Truth significantly reduces the cost and time required for labeling data by integrating human annotators with machine learning to automate the labeling process. You can use SageMaker Ground Truth to create labeling jobs, which are workflows where data objects (such as images, videos, or documents) need to
Read More Shared by AWS Machine Learning August 21, 2024
Favorite Amazon SageMaker Data Wrangler provides a visual interface to streamline and accelerate data preparation for machine learning (ML), which is often the most time-consuming and tedious task in ML projects. Amazon SageMaker Canvas is a low-code no-code visual interface to build and deploy ML models without the need to
Read More Shared by AWS Machine Learning August 21, 2024
Favorite The Cohere Rerank 3 Nimble foundation model (FM) is now generally available in Amazon SageMaker JumpStart. This model is the newest FM in Cohere’s Rerank model series, built to enhance enterprise search and Retrieval Augmented Generation (RAG) systems. In this post, we discuss the benefits and capabilities of this
Read More Shared by AWS Machine Learning August 19, 2024
Favorite Here’s how our bioacoustic foundation model, Health Acoustic Representations (HeAR), may help improve health outcomes for people across India. View Original Source (blog.google/technology/ai/) Here.
Favorite The Open Source Initiative (OSI) is running a blog series to introduce some of the people who have been actively involved in the Open Source AI Definition (OSAID) co-design process. The co-design methodology allows for the integration of diverging perspectives into one just, cohesive and feasible standard. Support and
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Shared by voicesofopensource August 16, 2024
Favorite QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock, a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. You can now provide contextual information from your private data sources that can be used to create rich, contextual,
Read More Shared by AWS Machine Learning August 15, 2024