Fri.Nov 03, 2023

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From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations

Analytics Vidhya

Introduction The field of artificial intelligence has seen remarkable advancements in recent years, particularly in the area of large language models. LLMs can generate human-like text, summarize documents, and write software code. Mistral-7B is one of the recent large language models that support English text and code generation abilities, and it can be used for […] The post From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations appeared first on Analytics Vidhya.

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How Human Bias Undermines AI-Enabled Solutions

Unite.AI

Last September, world leaders like Elon Musk, Mark Zuckerberg, and Sam Altman, OpenAI’s CEO, gathered in Washington D.C. with the purpose of discussing, on the one hand, how the public and private sectors can work together to leverage this technology for the greater good, and on the other hand, to address regulation, an issue that has remained at the forefront of the conversation surrounding AI.

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Mastering Arxiv Searches: A DIY Guide to Building a QA Chatbot with Haystack

Analytics Vidhya

Introduction Question and answering on custom data is one of the most sought-after use cases of Large Language Models. Human-like conversational skills of LLMs combined with vector retrieval methods make it much easier to extract answers from large documents. With some variation, we can create systems to interact with any data (Structured, Unstructured, and Semi-structured) […] The post Mastering Arxiv Searches: A DIY Guide to Building a QA Chatbot with Haystack appeared first on Analytics

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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Journey to AI blog

In the age of constant digital transformation, organizations should strategize ways to increase their pace of business to keep up with — and ideally surpass — their competition. Customers are moving quickly, and it is becoming difficult to keep up with their dynamic demands. As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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UBC and Honda Unveil Revolutionary Soft Sensor for Sensitive Robotics

Unite.AI

In a groundbreaking development that promises to reshape the landscape of robotics and prosthetics, researchers at the University of British Columbia (UBC), in collaboration with Honda, have pioneered a smart, stretchable, and remarkably sensitive soft sensor. This cutting-edge technology stands to unlock a myriad of applications, heralding a new era where robots and prosthetic devices not only act but also feel, enhancing their interaction with the world and with humans.

Robotics 173

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Here are Vinod Khosla's 10 predictions for the coming decades

Flipboard

From freeing the bottom 50% of the most undesirable jobs with machine robots to fusion replacing coal in 50 years, and having Artificial Intelligence based "near free" doctors and teachers — Khosla listed a series of changes he foresees in the coming years.

Robotics 173
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Speech-to-Text AI for Product Managers: How It Works and Key Considerations

AssemblyAI

Speech-to-text, also known as Automatic Speech Recognition (ASR) , is exactly what it sounds like—converting spoken words into written words. Though speech-to-text is a simple concept, the AI technology behind it is robust. Learn how speech-to-text works, and read about key considerations when weighing your options. How Does Speech-to-Text AI Work?

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FREE Data Science and AI Courses | 365 Data Science

Flipboard

Master Мust-Have DATA and AI Skills for Career Success UPSKILL in Data Science with No Strings Attached What Will YOU Get?

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‘Starship for the Mind’: University of Florida Opens Malachowsky Hall, an Epicenter for AI and Data Science

NVIDIA

Embodying the convergence of AI and academia, the University of Florida Friday inaugurated the Malachowsky Hall for Data Science & Information Technology. The sleek, seven-story building is poised to play a pivotal role in UF’s ongoing efforts to harness the transformative power of AI, reaffirming its stature as one of the nation’s leading public universities.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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What I Learned From an Experiment to Apply Generative AI to My Data Course

Flipboard

As a lecturer at the Princeton School of Public and International Affairs, where I teach econometrics and research methods, I spend a lot of time thinking about the intersection between data, education and social justice — and how generative AI will reshape the experience of gathering, analyzing and using data for change. My students are working toward a master’s degree in public affairs and many of them are interested in pursuing careers in international and domestic public policy.

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ChatGPT As OCR For PDFs: Your New ETL Tool for Data Analysis

Towards AI

Last Updated on November 5, 2023 by Editorial Team Author(s): David Leibowitz Originally published on Towards AI. Coding in English at the speed of thoughtHow To Use ChatGPT as your next OCR & ETL Solution, Credit: David Leibowitz For a recent piece of research, I challenged ChatGPT to outperform Kroger’s marketing department in earning my loyalty.

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Meet Leo: The Brave browser's anonymous and secure ChatGPT alternative

Flipboard

Following in the footsteps of browsers like Microsoft Edge, Opera One, and Arc Max; Brave users will shortly be welcoming an AI assistant of their own — Leo.

ChatGPT 145
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Researchers at Stanford Introduce RoboFuME: Revolutionizing Robotic Learning with Minimal Human Input

Marktechpost

In many domains that involve machine learning, a widely successful paradigm for learning task-specific models is to first pre-train a general-purpose model from an existing diverse prior dataset and then adapt the model with a small addition of task-specific data. This paradigm is attractive to real-world robot learning since collecting data on a robot is expensive, and fine-tuning an existing model on a small task-specific dataset could substantially improve the data efficiency for learning a n

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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ChatGPT predicts Bitcoin price for start of 2024

Flipboard

While Bitcoin (BTC) experienced a significant rally in the second half of October, it has so far failed to stay above the coveted price of $36,000 …

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How transparent are large language models?

Towards AI

Last Updated on November 5, 2023 by Editorial Team Author(s): Salvatore Raieli Originally published on Towards AI. Stanford proposes an index to measure LLM transparency, and the results are not encouragingPhoto by Marc Schulte on Unsplash Stanford measured how transparent companies are true their Large Language Models (LLMs) and other foundation models.

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WormGPT: An AI Tool for Hackers

Flipboard

Hackers are now looking to take advantage of AI muscle with tools like WormGPT. Here's what you need to know. Artificial intelligence (AI) is often praised for its ability to streamlining things, automating menial tasks (i.e. filling out a calendar) and just overall making your life easier.

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Apple Researchers Propose Large Language Model Reinforcement Learning Policy (LLaRP): An AI Approach Using Which LLMs Can Be Tailored To Act As Generalizable Policies For Embodied Visual Tasks

Marktechpost

Natural language Processing, understanding and generation have entered a new phase with the introduction of Large Language Models (LLMs). Models like GPT-3 have unparalleled language recognition abilities because they have been trained on enormous volumes of textual material. Their usefulness goes far beyond language-related activities as they have proven to be exceptionally skilled in a number of areas, such as embodied thinking, reasoning, visual comprehension, dialogue systems, code developme

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Dall-E 3 Is So Good It’s Stoking an Artist Revolt Against AI Scraping

Flipboard

Artists are worried AI will take their jobs — so they’re getting creative.

OpenAI 181
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How I Create Consistent Characters with DALL-E 3 in ChatGPT.

Towards AI

Last Updated on November 5, 2023 by Editorial Team Author(s): Kris Ograbek Originally published on Towards AI. And why I’m so excited about it?AI-Augmented Artist. Image by the author generated with ChatGPT & DALL-E 3. “If you want your children to be intelligent, read them fairy tales. If you want them to be more intelligent, read them more fairy tales.

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How to Make AI Art: A Complete Guide

Flipboard

Discover the tools, techniques and step-by-step instructions for making stunning AI-generated artwork with this complete guide.

AI 136
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How AI-Based Cybersecurity Strengthens Business Resilience

NVIDIA

The world’s 5 billion internet users and nearly 54 billion devices generate 3.4 petabytes of data per second , according to IDC. As digitalization accelerates, enterprise IT teams are under greater pressure to identify and block incoming cyber threats to ensure business operations and services are not interrupted — and AI-based cybersecurity provides a reliable way to do so.

AI 118
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Elon Musk Says xAI Chatbot Is ‘The Best that Currently Exists’ Ahead of Trial Launch

Flipboard

Elon Musk is opening up xAI to a select group of users as he challenges OpenAI and ChatGPT.

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Beyond Fact or Fiction: Evaluating the Advanced Fact-Checking Capabilities of Large Language Models like GPT-4

Marktechpost

Researchers from the University of Zurich focus on the role of Large Language Models (LLMs) like GPT-4 in autonomous fact-checking, evaluating their ability to phrase queries, retrieve contextual data, and make decisions while providing explanations and citations. Results indicate that LLMs, particularly GPT-4, perform well with contextual information, but accuracy varies based on query language and claim veracity.

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OpenAI’s Chief Scientist Worried AGI Will Treat Us Like Animals

Flipboard

And he predicted this years before ChatGPT dropped, too.

OpenAI 181
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Meet Davidsonian Scene Graph: A Revolutionary AI Framework for Assessing Text-to-Image AI with Precision

Marktechpost

Text-to-image (T2I) models are difficult to evaluate and often rely on question generation and answering (QG/A) methods to assess text-image faithfulness. However, current QG/A methods have issues with reliability, such as the quality of questions and consistency of answers. In response, researchers have introduced the Davidsonian Scene Graph (DSG), an automatic QG/A framework inspired by formal semantics.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Google’s RealLife AI Model Feels Like Magic

Towards AI

Last Updated on November 5, 2023 by Editorial Team Author(s): Ignacio de Gregorio Originally published on Towards AI. Redefining the Stories of Our Lives Top highlight Source: Author with Dalle-3 What I’m about to show you is unprecedented and feels almost like magic. Google Research, in collaboration with Cornell University, has announced RealFill, an image inpainting and outpainting model with shocking results.

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K-Nearest Neighbors Classification Using OpenCV

Machine Learning Mastery

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest […] The post K-Nearest Neighbors Classification Using OpenCV appeared first on MachineLearningMastery.com.

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This Artificial Intelligence-Focused Chip Redefines Efficiency: Doubling Down on Energy Savings by Unifying Processing and Memory

Marktechpost

In a world where the demand for data-centric local intelligence is on the rise, the challenge of enabling devices to analyze data at the edge autonomously becomes increasingly critical. This transition towards edge-AI devices, encompassing wearables, sensors, smartphones, and cars, signifies the next growth phase in the semiconductor industry. These devices support real-time learning, autonomy, and embedded intelligence.