stp2y - CybAI news

27 May

OpenAI’s content deal with the FT is an attempt to avoid more legal challenges – and an AI ‘data apocalypse’

stp2y0 CommentsChat-GPT

OpenAI’s new “strategic partnership” and licensing agreement with the Financial Times (FT) follows similar deals between the US tech company and publishers such as Associated Press, German media giant Axel Springer and French newspaper Le Monde. OpenAI will licence the FT’s content to use as training data for its products, including successors to its AI chatbot ChatGPT. The AI systems developed by OpenAI are exposed to this data to help them improve their performance in terms of use of language, context and accuracy. The FT will receive an undisclosed payment as part of the deal. This is happening against a…

27 May

An Introduction to Post-Quantum Cryptography Algorithms – EE Times

stp2y0 CommentsNews

//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> The rise of quantum computing paints a significant challenge for the cryptography we rely on today. The modern encryption standards we currently use to safeguard sensitive data and communications, such as DSA, public key RSA and those based on elliptic curves, will eventually be broken by quantum computers. Estimates vary on when, but at current rates of improvement, this is predicted by some to happen towards the end of the next decade. Michele Mosca, co-founder of the Institute for Quantum Computing at Canada’s University of Waterloo, has estimated that there…

27 May

How LotteON built dynamic A/B testing for their personalized recommendation system | Amazon Web Services

stp2y0 CommentsAI

This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON is transforming itself into an online shopping platform that provides customers with an unprecedented shopping experience based on its in-store and online shopping expertise. Rather than simply selling the product, they create and let customers experience the product through their platform. LotteON has been providing various forms of personalized recommendation services throughout the LotteON customer journey and across its platform, from its main page to its shopping cart and order completion pages. Through the development of new, high-performing models and continuous experimentation, they’re providing customers…

27 May

Is the future of AI open or closed? Watch today’s Princeton-Stanford workshop

stp2y0 CommentsChat-GPT

By Sayash Kapoor, Rishi Bommasani, Percy Liang, Arvind NarayananPerhaps the biggest tech policy debate today is about the future of AI, especially foundation models and generative AI. Will AI be open or closed? Will we be able to download and modify these models, or will a few companies control them? The stakes couldn’t be higher. A closed path could lead to a concentration of power never before seen in the history of capitalism, especially if AI turns out to have a transformative effect on the economy. On the other hand, open models might be easier for bad actors to misuse. Today,…

27 May

Fine Tuning Qwen 1.5 for Coding

stp2y0 CommentsViral News

In this article, we will be fine tuning the Qwen 1.5 model for coding. Nowadays, there are several chat based LLMs available online. Sometimes, the options are so vast, that choosing a model mostly falls upon personal preference and the task to be accomplished. However, most of the chat based models are fine tuned on a general SFT (Supervised Fine Tuning) dataset. The smaller chat based LLMs (or SLMs [Small Language Models]) do not perform so well on task specific objectives, like coding, out of the box. Fine tuning the base models according to the task is a much better…

27 May

Introduction to Time Series Analysis with Python

stp2y0 CommentsNewscoding, community, development, engineering, inclusive, software

Introduction:Time series analysis is a powerful tool for studying and predicting patterns in data that change over time. With the increasing availability of data and advancements in technology, it has become an essential skill for data analysts and researchers across various fields. Python, being a versatile and popular programming language, offers a wide range of tools and libraries for time series analysis. In this article, we will discuss the advantages, disadvantages, and features of conducting time series analysis with Python. Advantages:Python offers a user-friendly and efficient environment for time series analysis, as it allows for easy data manipulation, visualization, and…

27 May

Qualtrics generative AI gives surveys a real-time twist – SiliconANGLE

stp2y0 CommentsChat-GPTPaul Gillin, Qualtrics generative AI gives surveys a real-time twist, SiliconANGLE

Today, Qualtrics International Inc. is introducing three new features to its line of customer experience measurement applications that incorporate generative artificial intelligence capabilities. They include a feature that makes it possible for anyone in an organization to easily ask questions and get feedback on customer opinions, survey customization based on responses and intelligent summaries that provide feedback without compromising the confidentiality of individuals. The capabilities are embedded in Qualtrics’ three product suites – XM for Customer Experience, XM for Employee Experience and XM for Strategy + Research. Qualtrics said they’re intended to enable companies to predict customer needs, address employee…

27 May

How Capital One leverages data products to drive value – SiliconANGLE

stp2y0 CommentsGenAISiliconANGLE, Unpacking Capital One's approach to maintaining data and turning it into a product, Victor Dabrinze

Data is the backbone of today’s enterprise. As the era of data products unfolds, companies face the mounting challenge of managing it in large volumes while ensuring control and sustained usability. Capital One Financial Corp. is leading the way as a financial industry example, orchestrating a symphony of data products and platforms to fuel its decision-making engine. “Data products are so much at the heart of what our team gets to work on for Capital One,” said Christina Egea (pictured), vice president of Enterprise Data product management at Capital One. “For us, data products at their core [means] treating data itself as a product, applying product…

27 May

I’m a Google product manager who mentors 10 people a month. Here’s how I pick mentees, based on their messages and attitude.

stp2y0 CommentsRAG models

This as-told-to essay is based on a conversation with Sonakshi Pandey, a cloud computing product manager at Google in Seattle. It has been edited for length and clarity. Business Insider has verified her employment history.I was three years into my career as a software engineer when I realized I wanted to challenge myself.I loved coding but was keen on a role that was less desk-bound and encouraged me to meet people and speak in public, something that made me anxious because I have always been an introvert.I found that a solution architecture role would be a good entry point, and…

27 May

Data Machina #240

stp2y0 CommentsViral News

Foundation Models, Transformers and Time-Series. Statisticians and econometricians have been searching for the Holy Grail of time-series forecasting (TSF) for more than 40 years. “Classical” models like ARIMA still work remarkably well in some TSF scenarios. But today, the cool stuff is all about transformer-based, DL & foundation models for TSF. How “good” are these new DL models for TSF? How do we evaluate these models? Do these new models really achieve SOTA performance as some papers claim? Are DL researchers cherrypicking ts datasets to easily fit a SOTA TSF DL model?...Real world time-series data is complex, messy, and it…