Fri.Oct 04, 2024

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New IBM study: How business leaders can harness the power of gen AI to drive sustainable IT transformation

IBM Journey to AI blog

As organizations strive to balance productivity, innovation and environmental responsibility, the need for sustainable IT practices is even more pressing. A new global study from the IBM Institute for Business Value reveals that emerging technologies, particularly generative AI, can play a pivotal role in advancing sustainable IT initiatives. However, successful transformation of IT systems demands a strategic and enterprise-wide approach to sustainability.

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Top 6 Books on Retrieval Augmented Generation (RAG)

Analytics Vidhya

Introduction Retrieval-Augmented Generation (RAG) is one of the latest technologies in AI and it is revolutionizing how organizations use their data to build smart AI solutions. But where should you start? Fortunately, there are excellent books available to guide you on this journey. To help you, in this article, we’ll focus on the six best […] The post Top 6 Books on Retrieval Augmented Generation (RAG) appeared first on Analytics Vidhya.

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AI-Powered Solutions: How Migrants Are Overcoming Transportation Barriers in the U.S.

Unite.AI

The credit scoring system in the U.S. is not only used in banking and large businesses, but also assesses the creditworthiness of every resident in every aspect of their everyday life. However, this system also discriminates against large groups of the population, particularly migrants. For migrants and political refugees, it is extremely challenging to find official employment without the necessary legal papers and a credit check in the U.S.

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How to Build an AI Pair Programmer with CrewAI?

Analytics Vidhya

Introduction As the need for efficient software development continues, artificial intelligence becomes a valuable colleague for programmers. AI-powered coding assistants are changing the game by making it easier for developers to write, debug, and optimize their code like pair programmers. In this article, we’ll learn how to build an AI pair programmer using CrewAI agents to […] The post How to Build an AI Pair Programmer with CrewAI?

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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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Conducting Vulnerability Assessments with AI

Unite.AI

According to a 2023 report by Cybersecurity Ventures , cybercrime is estimated to cost the world $10.5 trillion annually by 2025. Every year, a new record is set for the number of cybercrimes documented. This calls for a major change in the traditional security testing processes. This is where vulnerability assessments come into play. Vulnerability assessments are crucial in identifying weak points within systems against malicious actors and hackers.

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Dave Bottoms, VP of Product at Upwork – Interview Series

Unite.AI

Dave Bottoms leads Upwork's Marketplace organization, a global team responsible for the core Talent Marketplace, search and discovery, ads and monetization, core mobile experiences, as well as new product innovation and analytics. Dave brings more than 20 years of Silicon Valley experience to Upwork. He joined the company in 2022 from Meta, where he led the Ads Manager Platform and Experiences team, responsible for the flagship enterprise product used by millions of small businesses and global a

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NVLM 1.0: NVIDIA’s Innovative Approach to Multimodal LLMs

Analytics Vidhya

Introduction We are going to look into the recently released multimodal large language model NVLM 1.0 by NVIDIA. These models achieve state-of-the-art results on vision-language tasks, even rivalling the leading proprietary models and open-access models (Llama 3-V 405B and InternVL 2). NVLM 1.0 shows improved text-only performance over its LLM backbone after multimodal training.

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How MIT’s Clio Enhances Scene Understanding for Robotics

Unite.AI

Robotic perception has long been challenged by the complexity of real-world environments, often requiring fixed settings and predefined objects. MIT engineers have developed Clio , a groundbreaking system that allows robots to intuitively understand and prioritize relevant elements in their surroundings, enhancing their ability to perform tasks efficiently.

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Multimodal RAG: Guide to Gemini’s Free AI Development Tools

Analytics Vidhya

Introduction In the evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) has become a powerful tool. It enhances model responses by combining retrieval and generation capabilities. This innovative approach enables AI to pull in relevant external information. As a result, it generates meaningful and contextually aware responses.

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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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Building A Robust and Efficient AWS Cloud Infrastructure with Terraform and GitLab CI/CD.

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Julius Nyerere Nyambok Originally published on Towards AI. Historically, cloud infrastructure management involved manual configuration on web consoles or command line interfaces. This approach was prone to human errors, inconsistencies, and maintaining version controls. The growing complexity of cloud environments and the demand for faster, more reliable, and reproducible infrastructure management practices highlighted the need for a m

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FaithEval: A New and Comprehensive AI Benchmark Dedicated to Evaluating Contextual Faithfulness in LLMs Across Three Diverse Tasks- Unanswerable, Inconsistent, and Counterfactual Contexts

Marktechpost

Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted. These models have showcased an impressive ability to create fluent and coherent responses across various applications, from chatbots to summarization tools. However, deploying these models in critical fields such as finance, healthcare, and law has highlighted the importance of ensuring that responses are coherent, accurate, an

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RAG: The Power of Text Splitting for Improving Retrieval: A Developer’s Handbook

Towards AI

Author(s): Md Monsur ali Originally published on Towards AI. Explore a Variety of Techniques to Enhance Language Model Efficiency: Character, Semantic, Contextual, and Multimodal Approaches This member-only story is on us. Upgrade to access all of Medium. 👨🏾‍💻 GitHub ⭐️ | 👔LinkedIn |📝 Medium Photo by Author When working with large language models (LLMs), one of the most overlooked but vital strategies is text splitting.

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Black Forest Labs Unveiled FLUX1.1 [pro] and the BFL API: The Ultimate Solution for Creative Professionals Seeking High-Performance Image Generation and Scalable API Integration

Marktechpost

Black Forest Labs has launched FLUX1.1 [pro] and the new beta BFL API. This release represents a crucial milestone in the company’s mission to provide developers, creators, and enterprises with the tools necessary to harness the power of AI. By combining advanced image generation capabilities with faster processing speeds and enhanced customization options, Black Forest Labs is setting a new standard for what can be achieved in AI-powered creativity.

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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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Confounds and Complex Bias Interplay from Human Bias Mitigation in Language Model Datasets Used for Finetuning LLMs

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Jonathan Bennion Originally published on Towards AI. A 2023 dataset that balanced occupational bias distribution in one dataset may have decreased racial bias (unintentionally), but increased gender and age biases compared to a vanilla Alpaca baseline. TLDR: Reducing a single human bias dimension from an instruction set used for finetuning language models can possibly cause unintended deltas in other biases.

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Samsung Alleged to be Considering Selling Its Foundry Business

Extreme Tech

The company has been struggling with yields on its 3nm process, which are reported to be as low as 20%.

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Knowledge Extraction Using LLMs

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Ori Cohen Originally published on Towards AI. The easy way. This member-only story is on us. Upgrade to access all of Medium. Knowledge extraction from diverse sources, author. Knowledge extraction from documents using LLMs (Large Language Models) has become increasingly important in our data-driven world.

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Apple AI Research Introduces MM1.5: A New Family of Highly Performant Generalist Multimodal Large Language Models (MLLMs)

Marktechpost

Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. These models are being developed to tackle increasingly complex tasks such as visual question answering, text-to-image generation, and multi-modal data interpretation.

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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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Voting Ensembles in Machine Learning: Making Predictions Stronger Together

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re part of a group trying to make an important decision. Some members have more experience in certain areas, while others may excel in different aspects. By combining everyone’s opinions, you’ll probably make a better decision than relying on a single person’s judgment.

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Microsoft’s Dynamic Few-Shot Prompting Redefines NLP Efficiency: A Comprehensive Look into Azure OpenAI’s Advanced Model Optimization Techniques

Marktechpost

Microsoft’s approach to leveraging dynamic few-shot prompts with Azure OpenAI offers an innovative technique that optimizes the application of few-shot learning by dynamically selecting the most relevant examples for a given user input, enhancing performance and efficiency. By integrating this method with Azure OpenAI’s robust capabilities, Microsoft offers a highly versatile solution to improve model output and resource utilization across various NLP tasks.

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Microsoft Enhances AI Copilot with Voice and Advanced Reasoning Features

ODSC - Open Data Science

In a major upgrade to its AI assistant, Microsoft has introduced a more conversational tone and enhanced capabilities to its consumer-facing Copilot. This revamped version now includes voice interaction and the ability to analyze web pages for users, significantly broadening its functionality. The update positions Copilot as a more intuitive, personable assistant, aiming to further Microsoft’s AI presence in the competitive market of virtual assistants.

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MIT Researchers Introduce Generative Modeling of Molecular Dynamics: A Multi-Task AI Framework for Accelerating Molecular Simulations and Design

Marktechpost

Molecular dynamics (MD) is a popular method for studying molecular systems and microscopic processes at the atomic level. However, MD simulations can be quite computationally expensive due to the intricate temporal and spatial resolutions needed. Due to the computing load, much research has been done on alternate techniques that can speed up simulation without sacrificing accuracy.

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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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The Google Pixel 9a Could Launch a Couple of Months Earlier Than Usual

Extreme Tech

Google appears to be shifting its Pixel release schedule, with the Pixel 9a potentially arriving earlier than expected in 2025.

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Ready Tensor’s Deep Dive into Time Series Step Classification: Comparative Analysis of 25 Machine Learning and Neural Network Models

Marktechpost

Time series analysis is a complex & challenging domain in data science, primarily due to the sequential nature and temporal dependencies inherent in the data. Step classification in this context involves assigning class labels to individual time steps, which is crucial in understanding patterns and making predictions. Ready Tensor conducted an extensive benchmarking study to evaluate the performance of 25 machine learning models on five distinct datasets to improve time series step classific

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Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents

AWS Machine Learning Blog

In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. Agents can interact with users, perform tasks, and exhibit decision-making abilities, mimicking humanlike intelligence. By combining agents with foundation models (FMs) from the Amazon Titan in Amazon Bedrock family, customers can develop multimodal, complex applications that enable the agent to understand and generate natural languag

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The Impact of AI Chatbots on False Memory Formation: A Comprehensive Study

Marktechpost

False memories, recollections of events that did not occur or significantly deviate from actual occurrences, pose a significant challenge in psychology and have far-reaching consequences. These distorted memories can compromise legal proceedings, lead to flawed decision-making, and distort testimonies. The study of false memories is crucial due to their potential to impact various aspects of human life and society.

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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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Nvidia CEO Describes Demand for Its Next-Gen Blackwell AI Hardware as 'Insane'

Extreme Tech

The company is expected to launch Blackwell in small volume this quarter before cranking up production in 2025.

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Meet the Faculty: Emily Black

NYU Center for Data Science

This entry is part of our Meet the Faculty blog series, which introduces and highlights faculty who have recently joined CDS. Meet Emily Black , who is joining CDS this fall as Assistant Professor of Computer Science, Engineering, and Data Science. Black brings her expertise in responsible AI, algorithmic fairness, and technology policy to address critical challenges at the intersection of machine learning and societal impact.

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Intel's 128-Core Xeon 6 Flagship CPU to Cost $17,800

Extreme Tech

It's the most expensive x86 CPU in modern times.

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