Sat.May 06, 2023 - Fri.May 12, 2023

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Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison

Analytics Vidhya

Introduction As artificial intelligence and machine learning continue to evolve at a rapid pace, we find ourselves in a world where chatbots are becoming increasingly commonplace. Google recently made headlines with the release of Bard, its language model for dialogue applications (LaMDA). It is said to be trained to have more natural and open-ended conversations […] The post Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison appeared first on Analytics Vidhya.

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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Journey to AI blog

We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But we’ve faced a paradoxical challenge: automation is labor intensive. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

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What LeMUR unlocks

AssemblyAI

Apply LLMs to multiple audio transcripts LeMUR enables users to get responses from LLMs on multiple audio files at once and transcripts up to 10 hours in duration, which effectively translates to a context window of ~150K tokens. Without LeMUR LeMUR Reliable & safe outputs Because LeMUR includes safety measures and content filters, it will provide users with responses from an LLM that are less likely to generate harmful or biased language.

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Allen Institute for AI raises $30M fund for incubator to boost more startups amid AI gold rush

Flipboard

Seattle-based Allen Institute for Artificial Intelligence announced a second fund of $30 million to back spinouts of its incubator program. (GeekWire Photo / Todd Bishop) The Allen Institute for Artificial Intelligence (AI2) raised a fresh $30 million pre-seed fund to invest in “AI-first” startups born from its incubator program. The second fund for the AI2 Incubator comes at a key moment for the AI sector, as more companies adopt generative AI technology and investors pour billions

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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How OpenAI Lost Half a Billion Dollars Due to ChatGPT?

Analytics Vidhya

Following claims of massive losses sustained in building their most recent product, ChatGPT, OpenAI, the AI research firm co-founded by tech titans like Elon Musk and Sam Altman, is making headlines. According to a recent story by The Information, the development of this technology apparently came at a high cost, with losses almost doubling to […] The post How OpenAI Lost Half a Billion Dollars Due to ChatGPT?

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Building better pangenomes to improve the equity of genomics

Google Research AI blog

Posted by Andrew Carroll, Product Lead, and Kishwar Shafin, Research Scientist, Genomics For decades, researchers worked together to assemble a complete copy of the molecular instructions for a human — a map of the human genome. The first draft was finished in 2000, but with several missing pieces. Even when a complete reference genome was achieved in 2022 , their work was not finished.

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AI machines aren’t ‘hallucinating’. But their makers are

Flipboard

Tech CEOs want us to believe that generative AI will benefit humanity. They are kidding themselves Inside the many debates swirling around the rapid rollout of so-called artificial intelligence, there is a relatively obscure skirmish focused on the choice of the word “hallucinate”.

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AI Accurately Converts Brain Signals Into Video

Analytics Vidhya

In a ground-breaking research study published by Nature, artificial intelligence (AI) can now translate brain signals into video with significant accuracy. The AI model, named CEBRA, was developed by scientists from École Polytechnique Fédérale de Lausanne (EPFL). The possibilities of this discovery are enormous and could revolutionize our understanding of the brain using AI technology. […] The post AI Accurately Converts Brain Signals Into Video appeared first on Analytics Vidhya.

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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

Today is a revolutionary moment for Artificial Intelligence (AI). After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. Suddenly, everybody is talking about generative AI: sometimes with excitement, other times with anxiety.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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How good is an AI chatbot at SAS programming?

SAS Software

A lot of programmers have been impressed by the ability of ChatGPT, GPT-4, and Bing Chat to write computer programs. Recently, I wrote an article that discusses an elementary programming assignment, called FizzBuzz, which is sometimes used as part of a hiring process to assess a candidate's basic knowledge of [.] The post How good is an AI chatbot at SAS programming?

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What happens when we run out of data for AI models

Flipboard

Large language models (LLMs) are one of the hottest innovations today. With companies like OpenAI and Microsoft working on releasing new impressive NLP systems, no one can deny the importance of having access to large amounts of quality data that can’t be undermined.

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Meta Open-Sources AI Model Trained on Text, Image & Audio Simultaneously

Analytics Vidhya

Meta, previously known as Facebook, has recently released a new open-source AI model called ImageBind. This multisensory model combines six different types of data. One doesn’t need to be trained in every possible combination of modalities to learn a single shared representation space. Training the Multimodal Model It has been trained using six different types […] The post Meta Open-Sources AI Model Trained on Text, Image & Audio Simultaneously appeared first on Analytics Vidhya

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Accelerate your speed of business with IBM Event Automation

IBM Journey to AI blog

Customer needs and market dynamics are constantly shifting from one moment to the next. There are thousands of business events flowing through every part of your organization every day. These events can provide a wealth of information about what’s actually happening across your business at any moment in time. Organizations that can capitalize on this continual stream of business intelligence can spot trends, issues and opportunities, address threats, and act quickly.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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How Lakehouse powers NLP for Customer Service Analytics in Insurance

databricks

Download the Databricks Insurance NLP Solution Accelerator Introduction The current economic and social climate has redefined customer expectations and preferences. Society has been.

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Why generative AI is more dangerous than you think

Flipboard

A lot has been written about the dangers of generative AI in recent months and yet everything I’ve seen boils down to three simple arguments, none of which reflects the biggest risk I see headed our way.

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Revolutionizing Computer Graphics: NVIDIA to Unveil 20 AI Research Papers at SIGGRAPH 2023

Analytics Vidhya

NVIDIA is a leading technology company renowned for its innovation in producing high-quality graphic processing units (GPUs). The firm plans to introduce 20 research papers in the field of artificial intelligence (AI) that will enhance product quality. These papers have been developed by NVIDIA researchers in collaboration with over 12 different universities in the U.S., […] The post Revolutionizing Computer Graphics: NVIDIA to Unveil 20 AI Research Papers at SIGGRAPH 2023 appeared first o

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At IBM Think, partners are front and center

IBM Journey to AI blog

If you’ve followed IBM over the past few years, you know how critical the IBM Ecosystem is to our growth strategy. It’s why we gave partners access to the same training and enablement as IBMers last year, launched a new partner program in January, and continue investing in and growing the IBM Ecosystem. So, it should come as no surprise that partners are front and center during our annual Think conference this week.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Introduction to Causality in Machine Learning

PyImageSearch

Home Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study 2: Food App Conundrum Quiz Time! Summary References Citation Information Introduction to Causality in Machine Learning In this tutorial, you will learn about causality and how to correctly interpret and use it for your

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What every CEO should know about generative AI

Flipboard

Generative AI is evolving at record speed while CEOs are still learning the technology’s business value and risks. Here, we offer some of the generative AI essentials.

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How to Harness the Full Potential of ChatGPT: Tips & Prompts

Analytics Vidhya

ChatGPT is a groundbreaking AI-enabled tool that uses GPT-3.5 technology to generate natural language responses to user inputs. Its versatility and ability to understand complex instructions have made it a go-to for people seeking answers to virtually any query. Most people use it just like Google – by putting in a keyword and hoping for […] The post How to Harness the Full Potential of ChatGPT: Tips & Prompts appeared first on Analytics Vidhya.

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IBM Watson Orchestrate: Unlocking new levels of productivity for every employee

IBM Journey to AI blog

The world is changing faster than ever, and the way we work needs to keep up with the possibilities that new technologies bring to our day-to-day work. Companies that want to stay competitive need to help their employees quickly build new skill sets and adapt to changing market conditions. Workforce demographic trends compel us to reimagine how we work.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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How to Save Trained Model in Python

The MLOps Blog

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. It is crucial to save, store, and package these models for their future use and deployment to production. These practices are needed for a number of reasons: Backup: A trained model can be saved as a backup in case the original data is damaged or destroyed.

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As AI consumes search, what will be left for us humans?

Flipboard

News from Google’s AI-soaked developer event this week makes it plain that we’re on the cusp of a new era of search. Following Microsoft’s moulding of OpenAI’s tech into Bing, Google is experimenting with its own AI tech and opening up new ways to use search.

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How to Become an AI Architect in 2023?

Analytics Vidhya

The AI revolution is here, and it is changing the way we work and live. At the forefront of this revolution stands the AI architect—a visionary orchestrator who blends creativity and technology to shape the future. AI Architecture will be one of the choicest career options in the coming times. Wondering how to become an […] The post How to Become an AI Architect in 2023?

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How IBM is helping organizations accelerate their adoption of intelligent automation solutions

IBM Journey to AI blog

This week, we’re thrilled to bring together thousands of IBM clients, partners, business leaders and stakeholders at our annual Think® Conference being held in Orlando, Florida. For IBM, Think is all about how we support organizations in their digital transformation and help them compete in their markets via the use of technological innovation.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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How ChatGPT really works and will it change the field of IT and AI??—?a deep dive

Chatbots Life

How ChatGPT really works and will it change the field of IT and AI? — a deep dive Unless you have been living under a rock for the last few months, you have probably heard about a new model from OpenAI called ChatGTP. The model has demonstrated extraordinary abilities in generating both code and textual responses that are not only coherent but most often factually correct and in line with the current human knowledge.

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Google launches a GitHub Copilot competitor

Flipboard

At its annual I/O developer conference, Google today announced the launch of a number of AI-centric coding tools, including its competitor to GitHub’s Copilot, a chat tool for asking questions about coding and Google Cloud services, as well as AI-assisted coding in Google’s no-code AppSheet product.

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Scale AI Launches Defense Solution to Take Critical Decisions in Minutes Instead of Weeks

Analytics Vidhya

Every second counts today, and making timely decisions is essential. The defense industry is no different, and making the right decisions quickly can often be a matter of life and death. This is where Scale AI comes in. It provides Artificial Intelligence-powered solutions that allow defense operators to make sense of vast amounts of data […] The post Scale AI Launches Defense Solution to Take Critical Decisions in Minutes Instead of Weeks appeared first on Analytics Vidhya.