5 Effective Ways to Handle Imbalanced Data in Machine Learning

Introduction Here’s a something that new machine learning practitioners figure out almost immediately: not all datasets are created equal. It may now seem obvious to you, but had you considered this before undertaking machine learning projects on a real world dataset? As an example of a single class vastly outnumbering the rest, take for instance …

Next platform for brain-inspired computing

Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.

Enhancing Netflix Reliability with Service-Level Prioritized Load Shedding

Applying Quality of Service techniques at the application level Anirudh Mendiratta, Kevin Wang, Joey Lynch, Javier Fernandez-Ivern, Benjamin Fedorka Introduction In November 2020, we introduced the concept of prioritized load shedding at the API gateway level in our blog post, Keeping Netflix Reliable Using Prioritized Load Shedding. Today, we’re excited to dive deeper into how we’ve …

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AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock

We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. What is Jamba-Instruct Jamba-Instruct is an instruction-tuned version of …

Free to be SRE — how to use generative AI to code, test and troubleshoot your systems

Are you an SRE (or SysAdmin, DevOps Engineer or Systems Architect?) grappling with the ever-growing complexity of modern systems? Generative AI, including Google’s Gemini for developers, offers a toolkit that can help streamline your operational tasks and boost efficiency. To help you get started, here’s a curated list of resources that will help you gain …

Tips for Choosing the Right Machine Learning Model for Your Data

Introduction Choosing the right machine learning model for your data is of major importance in any data science project. The model you select will have a significant impact on the insights you derive from your data, and ultimately determine the usefulness of a project. In this article, we aim to provide practical tips to help …

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Implement exact match with Amazon Lex QnAIntent

This post is a continuation of Creating Natural Conversations with Amazon Lex QnAIntent and Amazon Bedrock Knowledge Base. In summary, we explored new capabilities available through Amazon Lex QnAIntent, powered by Amazon Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, Amazon …

Navigating the labyrinth: How AI tackles complex data sampling

The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that “learns” patterns from sets of data in order to generate new, similar sets of data. Generative models are often used for things like drawing images and natural language generation—a famous example are the models used …