Thu.Oct 17, 2024

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Adapt or fall behind: The strategic role of AI for forward-thinking CFOs

IBM Journey to AI blog

Chief financial officers (CFOs) are no longer just number crunchers; they are strategic leaders responsible for driving innovation and growth. With advancements in new technologies such as generative AI, finance leaders have remarkable tools to reshape how they operate, innovate and provide value across their organizations. As economic volatility continues to rise, CFOs face increasing pressure to ensure operational efficiency while also spearheading digital transformation.

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Evolution of Agentic RAG: From Long-context, RAG to Agentic RAG

Analytics Vidhya

So far, various models have served distinct purposes in artificial intelligence. These models have significantly impacted human life, from understanding and generating text based on input to significantly striding in natural language processing. However, while these models set benchmarks for linguistic tasks, they fall short when it comes to adding real-world action and interactions.

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Unlocking New Possibilities in Healthcare with AI

Unite.AI

Healthcare in the United States is in the early stages of a significant potential disruption due to the use of Machine Learning and Artificial Intelligence. This shift has been underway for over a decade, but with recent advances, seems poised for more rapid changes. Much work remains to be done to understand the safest and most effective applications of AI in healthcare, to build trust among clinicians in the use of AI, and to adjust our clinical education system to drive better use of AI-based

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AI governance gap: 95% of firms haven’t implemented frameworks

AI News

Robust governance is essential to mitigate AI risks and maintain responsible systems, but the majority of firms are yet to implement a framework. Commissioned by Prove AI and conducted by Zogby Analytics , the report polled over 600 CEOs, CIOs, and CTOs from large companies across the US, UK, and Germany. The findings show that 96% of organisations are already utilising AI to support business operations, with the same percentage planning to increase their AI budgets in the coming year.

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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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AI News Weekly - Issue #409: ChatGPT Glossary: 48 AI Terms That Everyone Should Know - Oct 17th 2024

AI Weekly

Powered by digitalocean.com Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News ChatGPT Glossary: 48 AI Terms That Everyone Should Know With AI technology embedding itself in products from Google, Microsoft, Apple, Anthropic, Perplexity and OpenAI, it's good to stay up to date on all the latest terminology. cnet.com Sponsor DigitalOcean GPU Droplets Seamlessly integrate advanced GPU c

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A Comprehensive Guide to RAG-to-SQL on Google Cloud

Analytics Vidhya

Text-to-SQL technologies frequently struggle to capture the complete context and meaning of a user’s request, resulting in queries that do not exactly match the intended. While developers work hard to enhance these systems, it is worth questioning if there is a better method. Enter RAG-to-SQL—a new approach that combines natural language understanding with powerful data […] The post A Comprehensive Guide to RAG-to-SQL on Google Cloud appeared first on Analytics Vidhya.

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DeepMind’s Michelangelo Benchmark: Revealing the Limits of Long-Context LLMs

Unite.AI

As Artificial Intelligence (AI) continues to advance, the ability to process and understand long sequences of information is becoming more vital. AI systems are now used for complex tasks like analyzing long documents, keeping up with extended conversations, and processing large amounts of data. However, many current models struggle with long-context reasoning.

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Do Smaller Models Struggle Often in High Order Thinking?

Analytics Vidhya

I was reading about the challenges that large language models (LLMs) face despite their impressive progress in recent years. I came across this research paper on Not All LLM Reasoners Are Created Equal by Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron Courville, and Rishabh Agarwal. It is from Mila, Google DeepMind, and Microsoft Research.

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The next generation of BI: Powered by IBM Granite foundation models

IBM Journey to AI blog

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). Renowned for its superior reporting capabilities, IBM Cognos offers an unparalleled level of depth and flexibility for organizations looking to extract valuable insights from their data. But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience.

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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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CrewAI Multi-Agent System for Writing Article from YouTube Videos

Analytics Vidhya

Introduction In the era of an evolving digital world, automation redefines how humans approach everyday tasks, including research, content creation and much more. A new and exciting tool emerging in this field is CrewAI, which enables multiple AI agents to work together, solving complex problems with enhanced creativity and decision-making by prioritising collaborative intelligence.

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Babak Hodjat, CTO of AI at Cognizant – Interview Series

Unite.AI

Babak Hodjat is Vice President of Evolutionary AI at Cognizant , and former co-founder and CEO of Sentient. He is responsible for the core technology behind the world’s largest distributed artificial intelligence system. Babak was also the founder of the world's first AI-driven hedge fund, Sentient Investment Management. He is a serial entrepreneur, having started a number of Silicon Valley companies as main inventor and technologist.

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Zero-shot Object Detection Using Grounding DINO Base

Analytics Vidhya

Detecting objects in an image requires some accuracy, especially when the image does not only take a box-like shape for easy detection. However, numerous models have provided solutions with state-of-the-art performance in object detection. Zero-shot object detection with the Grounding DINO base is another efficient model that allows you to scan through out-of-box images.

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Waterways Wonder: Clearbot Autonomously Cleans Waters With Energy-Efficient AI

NVIDIA

What started as two classmates seeking a free graduation trip to Bali subsidized by a university project ended up as an AI-driven sea-cleaning boat prototype built of empty water bottles, hobbyist helicopter blades and a GoPro camera. University of Hong Kong grads Sidhant Gupta and Utkarsh Goel have since then made a splash with their Clearbot autonomous trash collection boats enabled by NVIDIA Jetson.

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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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8 Free and Paid APIs for Your LLM Applications

Analytics Vidhya

In today’s business applications, APIs (Application Programming Interfaces) are transforming how we integrate and leverage AI capabilities. They serve as crucial bridges, enabling the seamless integration of Large Language Models (LLMs) into diverse software ecosystems. By facilitating efficient data exchange and functionality sharing, APIs of both open and closed-source LLMs allow applications to harness the […] The post 8 Free and Paid APIs for Your LLM Applications appeared first

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IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World

Marktechpost

Widely growing sectors, like Healthcare, logistics, and smart cities, are interconnected on devices that require task reasoning capabilities in the Internet of Things (IoT) systems. This requirement has prompted researchers to find effective ways to integrate real-time data and contextual understanding into Large Language Models (LLMs), which have difficulty interpreting real-world tasks.

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Addressing the cybersecurity skills gap with higher education

IBM Journey to AI blog

As cyberattacks and security incidents continue to rise, the demand for skilled cybersecurity professionals in government and private sectors has reached unprecedented levels. The United States faces a critical challenge in defending its national security in the digital realm, highlighting the urgent need for a robust cyber workforce. On July 31, 2023, the White House published its National Cyber Workforce and Education Strategy and called upon public and private institutions and ecosystems to m

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PyTorch 2.5 Released: Advancing Machine Learning Efficiency and Scalability

Marktechpost

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. With the latest PyTorch 2.5 release, the team aims to address several challenges faced by the ML community, focusing primarily on improving computational efficiency, reducing start up times, and enhancing performance scalability for newer hardware.

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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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Get Ready to Slay: ‘Dragon Age: The Veilguard’ to Soar Into GeForce NOW at Launch

NVIDIA

Bundle up this fall with GeForce NOW and Dragon Age: The Veilguard with a special, limited-time promotion just for members. The highly anticipated role-playing game (RPG) leads 10 titles joining the ever-growing GeForce NOW library of over 2,000 games. A Heroic Bundle The mother of dragon bundles. Fight for Thedas’ future at Ultimate quality this fall as new and existing members who purchase six months of GeForce NOW Ultimate can get BioWare and Electronic Arts’ epic RPG Dragon Age: The Veilguar

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Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes

Marktechpost

There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used. These limitations call for a methodology that can adapt LLMs efficiently without extensive tuning or restrictive assumptions, especially in low-data settings.

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#45 Is Prompting a Future-Proof Skill?

Towards AI

Last Updated on October 19, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Over the past few months, we have discussed the AI engineer’s toolkit for building reliable LLM products multiple times. We believe that combining RAG, prompting, and fine-tuning will be key to developing scalable solutions with generative AI.

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Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows

Marktechpost

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems. Enterprises struggle with the cumbersome nature of configuring LLMs for seamless collaboration across data sources, making it challenging to adopt them for operational efficiency.

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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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Use Amazon SageMaker Studio with a custom file system in Amazon EFS

AWS Machine Learning Blog

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. SageMaker Studio offers a suite of integrated development environments (IDEs), which includes JupyterLab , Code Editor , as well as RStudio. Data scientists and ML engineers can spin up SageMaker Studio private and shared spaces , which are used to manage the storage and resource needs of the JupyterLab and Code Editor applications, enable stopping the applications when not in use t

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How Large Language Models (LLMs) can Perform Multiple, Computationally Distinct In-Context Learning (ICL) Tasks Simultaneously

Marktechpost

Large Language Models (LLMs) have demonstrated remarkable proficiency in In-Context Learning (ICL), which is a technique that teaches them to complete tasks using just a few examples included in the input prompt and no further training. One of the primary features of ICL is that these models can manage several computationally different ICL tasks simultaneously in a single inference session; the phenomenon is called superposition.

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Lawyer Beats AI In Mock Trial Experiment

Artificial Lawyer

Given advances in generative AI, would a person in court assisted primarily by AI be able to outperform a regular human lawyer? Australian law firm, Lander & Rogers, decided to find out.

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This AI Paper Propsoes an AI Framework to Prevent Adversarial Attacks on Mobile Vehicle-to-Microgrid Services

Marktechpost

Mobile Vehicle-to-Microgrid (V2M) services enable electric vehicles to supply or store energy for localized power grids, enhancing grid stability and flexibility. AI is crucial in optimizing energy distribution, forecasting demand, and managing real-time interactions between vehicles and the microgrid. However, adversarial attacks on AI algorithms can manipulate energy flows, disrupting the balance between vehicles and the grid and potentially compromising user privacy by exposing sensitive data

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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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Attribute serverless costs to departments and users with budget policies

databricks

We are excited to announce the Public Preview of Databricks serverless budget policies. Administrators can use budget policies to ensure that the correct.

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From ONNX to Static Embeddings: What Makes Sentence Transformers v3.2.0 a Game-Changer?

Marktechpost

There is a growing demand for embedding models that balance accuracy, efficiency, and versatility. Existing models often struggle to achieve this balance, especially in scenarios ranging from low-resource applications to large-scale deployments. The need for more efficient, high-quality embeddings has driven the development of new solutions to meet these evolving requirements.

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Using Amazon Q Business with AWS HealthScribe to gain insights from patient consultations

AWS Machine Learning Blog

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. During re:Invent 2023, we launched AWS HealthScribe , a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation.