Sat.Aug 12, 2023 - Fri.Aug 18, 2023

article thumbnail

US Open heralds new era of fan engagement with watsonx and generative AI

IBM Journey to AI blog

As the tournament’s official digital innovation partner, IBM has helped the US Open attract and engage viewers for more than three decades. Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business.

article thumbnail

Moving Large Language Models (LLM) into Real-World Business Applications

Unite.AI

Large language models are everywhere. Every customer conversation or VC pitch involves questions about how ready LLM tech is and how it will drive future applications. I covered some patterns on this in my previous post. Here I will talk about some real-world patterns for an application in the pharma industry that Persistent Systems worked on. Large Language Models and Core Strengths LLMs are good at understanding language, that’s their forte.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

AI is going to eliminate way more jobs than anyone realizes

Flipboard

A tidal wave is about to crash into the global economy. The rise of artificial intelligence has captured our imagination for decades, in whimsical movies and sober academic texts.

article thumbnail

Meet CipherChat: An AI Framework to Systematically Examine the Generalizability of Safety Alignment to Non-Natural Languages-Specifically Ciphers

Marktechpost

Artificial intelligence (AI) systems have advanced significantly as a result of the introduction of Large Language Models (LLMs). Leading LLMs such as ChatGPT released by OpenAI, Bard by Google, and Llama-2 have demonstrated their remarkable abilities in carrying out innovative applications, ranging from assisting in tool utilization and enhancing human evaluations to simulating human interactive behaviors.

article thumbnail

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

article thumbnail

Applying cyber resilience to DORA solutions

IBM Journey to AI blog

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. DORA establishes technical standards that financial entities and their critical third-party technology service providers must implement in their ICT systems by January 17, 2025.

More Trending

article thumbnail

Banks have a secret weapon known as synthetic data. Here’s how it works

Flipboard

Americans may not trust banks with their personal data. But banks would rather make their own data anyway, and this is why. Millions of Americans don’t trust banks and financial institutions. In fact, that was the second-most cited reason that unbanked U.S.

article thumbnail

Dolma: 3 Trillion Token Open Corpus for Language Model Pretraining

Allen AI

AI2 Dolma: 3 Trillion Token Open Corpus for Language Model Pretraining Since March, we at the Allen Institute for AI have been creating OLMo , an open language model to promote the study of large-scale NLP systems. One of our major goals is to build OLMo in a transparent and open manner by releasing artifacts and documenting processes we followed throughout this project.

article thumbnail

CMU Researchers Developed a Simple Distance Learning AI Method to Transfer Visual Priors to Robotics Tasks: Improving Policy Learning by 20% Over Baselines

Marktechpost

A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being (a) hard to scale, (b) collected in sterile, non-realistic surroundings (such as a robotics lab), and (c) too homogeneous (such as toy items with preset backgrounds and lighting). Vision data sets, on the other hand, include a wide variety of tasks, objects, and environments.

article thumbnail

AI-Generated Content: What Does This Mean For Creators?

Unite.AI

Since gaining popularity in the last few years, Generative AI has permeated various industries beyond our expectations. Many startups and large tech corporations have swiftly entered the market with their Generative AI solutions. For instance, Microsoft’s integration of DALL-E into Bing and Meta’s Voicebox are just a few examples that can produce high-quality AI-generated content.

article thumbnail

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?

article thumbnail

How LLMs could benefit from a decades’ long symbolic AI project

Flipboard

One of the main barriers to putting large language models (LLMs) to use in practical applications is their unpredictability, lack of reasoning and uninterpretability. Without being able to address these challenges, LLMs will not be trustworthy tools in critical settings.

article thumbnail

Fostering Ethical Interactions Between Humanity and Advanced Artificial Intelligence

ODSC - Open Data Science

The rapid advance of AI technology is redefining the landscape of human-machine interaction. With AI systems becoming increasingly autonomous and sophisticated, it is essential to foster an environment that promotes mutual respect, coexistence, and understanding. At the heart of this shift must be compassion — a foundational human trait that should guide our interactions with artificial entities.

article thumbnail

Beyond the Pen: AI’s Artistry in Handwritten Text Generation from Visual Archetypes

Marktechpost

The emerging field of Styled Handwritten Text Generation (HTG) seeks to create handwritten text images that replicate the unique calligraphic style of individual writers. This research area has diverse practical applications, from generating high-quality training data for personalized Handwritten Text Recognition (HTR) models to automatically generating handwritten notes for individuals with physical impairments.

article thumbnail

Deploying LLM Chat Applications with Declarai, FastAPI, and Streamlit

Towards AI

Last Updated on August 19, 2023 by Editorial Team Author(s): Matan Kleyman Originally published on Towards AI. Screenshot | Taken By The Author | All rights reserved In October 2022, when I began experimenting with Large Language Models (LLMs), my initial inclination was to explore text completions, classifications, NER, and other NLP-related areas.

LLM 97
article thumbnail

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

article thumbnail

‘Don’t Put Your Head in the Sand’: Stars Are Quietly Inking Deals to License Their AI Doubles

Flipboard

In 2008, while working with Will Smith on the set of a film that never ended up getting made, Remington Scott had an epiphany. The visual effects director was watching Smith stand in a photogrammetry booth, with dozens of cameras capturing the actor’s facial features from every possible angle. “.

AI 123
article thumbnail

Using AI-Enabled Predictive Maintenance in the Supply Chain

ODSC - Open Data Science

Whether you’re a delivery driver, help package products, or are one of the first links in the supply chain of worldwide goods, something is always bound to break — often when you need it most. Traditionally, there were just two maintenance methods to ensure everything ran smoothly. Now, using AI in predictive maintenance offers a new way to conduct repairs, helping everyone in the logistics industry work with fewer incidents.

article thumbnail

This Paper from NYU and Google Explains How Joint Speech-Text Encoders Overcome Sequence-Length Mismatch in Cross-Modal Representations

Marktechpost

It is becoming increasingly apparent that very big models trained on massive unsupervised corpora in a single modality can achieve remarkable results. This has been proved both in the audio domain, where a single model has been shown to adapt to a surprise wide array of acoustic tasks and in the text domain, where language models have attained exceptional zero-shot capabilities.

article thumbnail

How I Built A Video Recommendation System Using Large Language Models and Vector Database

Towards AI

Last Updated on August 19, 2023 by Editorial Team Author(s): Zoumana Keita Originally published on Towards AI. Leverage large language models, state-of-the-art text and speech analytics tools, and vector databases to build an end-to-end audio recommendation solution. This member-only story is on us. Upgrade to access all of Medium. Our generation is lucky to have streaming services of any kind at our disposal, from audio to video content.

article thumbnail

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.

article thumbnail

Why Google’s co-founder left retirement to work on AI

Flipboard

During a recent surprise Q&A, Sergey Brin opened up about why he’s back in the trenches at Google to work on generative AI. Last Saturday, about 200 people crowded into the ballroom of a $68 million Silicon Valley mansion for a hackathon.

AI 123
article thumbnail

How to run LLaMA-13B or OpenChat-8192 on a Single GPU?—?Pragnakalp Techlabs: AI, NLP, Chatbot…

Chatbots Life

How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development Recently, numerous open-source large language models (LLMs) have been launched. These powerful models hold great potential for a wide range of applications. However, one major challenge that arises is the limitation of resources when it comes to testing these models.

NLP 98
article thumbnail

This AI Research from UCLA Indicates Large Language Models (such as GPT-3) have Acquired an Emergent Ability to Find Zero-Shot Solutions to a Broad Range of Analogy Problems

Marktechpost

Analogical reasoning serves as the cornerstone of human intelligence and ingenuity. When faced with an unfamiliar challenge, individuals frequently devise viable solutions by methodically comparing them to a more recognizable scenario. This approach plays a key role in how humans think across various activities, from solving everyday issues to fostering creative concepts and pushing the boundaries of scientific discovery.

article thumbnail

Neural network pruning with combinatorial optimization

Google Research AI blog

Posted by Hussein Hazimeh, Research Scientist, Athena Team, and Riade Benbaki, Graduate Student at MIT Modern neural networks have achieved impressive performance across a variety of applications, such as language, mathematical reasoning , and vision. However, these networks often use large architectures that require lots of computational resources.

article thumbnail

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!

article thumbnail

What you need to know about Sakana AI, the new startup from a transformer paper co-author

Flipboard

The landscape of generative artificial intelligence (gen AI) is in a rapid state of evolution these days, not only with OpenAI, Meta, and Google competing directly on foundation models, but doing so while some of their biggest in-house talent leave to launch their own gen AI startups.

article thumbnail

Breaking down barriers in tech with Code the Dream

SAS Software

In a world where technology is a cornerstone of society, opportunities in the tech sector should be within reach for all. Yet, for many people, education, resources and access barriers stand in the way. According to research by McKinsey, Black people make up 12 percent of the US workforce but only [.

98
article thumbnail

Salesforce AI Researchers Introduce the Evolution of LLM-Augmented Autonomous Agents and the Innovative BOLAA Strategy

Marktechpost

Recent large language model (LLM) accomplishments encourage new research into using LLMs to handle various complicated tasks, with LLM-augmented Autonomous Agents (LAAs) garnering the greatest attention. By extending LLM’s intelligence to sequential action executions, LAA shows supremacy in interacting with settings and handling challenging problems by gathering data.

LLM 98
article thumbnail

7 Dumb Reasons People Aren’t Using AI

ODSC - Open Data Science

Everyone’s using artificial intelligence now. From your little cousin using Midjourney to make dramatic anime-esque scenes, to your mom using it to simplify recipes, AI isn’t a pipedream anymore. Given the countless free, approachable, and resource-friendly tools out there, there’s really no reason why someone who could benefit from AI shouldn’t be using it — including businesses seeking to turn a profit.

article thumbnail

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.

article thumbnail

Communication using thought alone? Unbabel unveils AI project to give us superhuman capabilities

Flipboard

Sitting in a meeting room in a startup office in Lisbon, I silently typed the answer to a question only the person opposite would know the answer to. What kind of coffee had I asked for when I’d arrived at the office?

AI 123
article thumbnail

AMD's Mitigation for 'Inception' Vulnerability Can Reduce Performance by 54%

Extreme Tech

The company's fix for Inception was recently tested on a variety of workloads in Linux and the results are surprising, to say the least.

98
article thumbnail

Diffusion Transformers (DiTs) for Unprecedented Architectural Innovation: Transforming Image Generation with Transformer-Based Diffusion Models

Marktechpost

The landscape of machine learning has undergone a transformative shift with the emergence of transformer-based architectures, revolutionizing tasks across natural language processing, computer vision, and beyond. However, a notable gap still needs to be addressed within image-level generative models, specifically diffusion models, which largely adhere to convolutional U-Net architectures.