We believe generative AI has the potential over time to transform virtually every customer experience we know. The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity…
Month: November 2023
Knowledge Graphs, Hardware Choices, Python Workflows, and Other November Must-Reads
We’re entering the final stretch of another eventful year for data and machine learning professionals. Many of you are making one last push to learn new skills, catch up with recent research, or prepare for your next career move before the holiday season really kicks in in many parts of the world. Our selection of must-reads…
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
A recent line of work shows that notions of multigroup fairness imply surprisingly strong notions of omniprediction: loss minimization guarantees that apply not just for a specific loss function, but for any loss belonging to a large family of losses. While prior work has derived various notions of omniprediction from multigroup fairness guarantees of varying…
Cisco Co-Selling Acceleration Made Simple
There is a major shift in the market that is hard to miss. In fact, a Gartner report recognizes this shift indicating that 82% of IT (Information Technology) spend is now being influenced by New … Read more on Cisco Blogs Cisco Blogs
New – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio
Today, we are excited to announce support for Code Editor, a new integrated development environment (IDE) option in Amazon SageMaker Studio. Code Editor is based on Code-OSS, Visual Studio Code Open Source, and provides access to the familiar environment and tools of the popular IDE that machine learning (ML) developers know and love, fully integrated…
Bias, Toxicity, and Jailbreaking Large Language Models (LLMs)
A review of recent research on concerning characteristics of LLMs Continue reading on Towards Data Science » Towards Data Science – Medium
ChatGPT’s Code Interpreter: GPT-4 Advanced Data Analysis for Data Scientists
Introduction ChatGPT is a powerful language model developed by OpenAI that has taken the world by storm with its ability to understand and conversationally respond to human input. One of the most exciting features of ChatGPT is its ability to generate code snippets in various programming languages, including Python, Java, JavaScript, and C++. This feature…
IoT Transportation Leadership Summit: Innovation on the Move
Across the United States, local communities, transportation departments, and transit, port, and turnpike authorities are seeking new and better ways to deliver on their mission-critical objectives to… Read more on Cisco Blogs Cisco Blogs
A new optimization framework for robot motion planning
It isn’t easy for a robot to find its way out of a maze. Picture the machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination,…
Evaluate large language models for quality and responsibility
The risks associated with generative AI have been well-publicized. Toxicity, bias, escaped PII, and hallucinations negatively impact an organization’s reputation and damage customer trust. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative AI services, but that tuning an FM for specific tasks, on…