Analytics Vidhya
JULY 9, 2024
Introduction Just binge-watched that K-drama over the weekend, and now your Netflix recommendations turn into an eerily perfect lineup of similar shows? That’s no coincidence. Netflix employs sophisticated data strategies to ensure it’s tough to hit the stop button once you start watching, or you can say Netflix uses Data Science. Yep, your weekend binge […] The post Behind the Screen: How Netflix Uses Data Science?
AI News
JULY 9, 2024
The success of Chinese AI education applications like Question.AI and Gauth in the US market comes at a time of fierce competition within China, where over 200 large language models—critical for generative AI services like ChatGPT—have been developed. As of March, more than half of these received approval from Chinese authorities for public release.
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Analytics Vidhya
JULY 9, 2024
Introduction In the realm of data analysis and manipulation, Excel remains a powerhouse tool. Among its many features, the TRANSPOSE function stands out for its ability to reorganize data quickly and efficiently. This function is particularly useful for data scientists and AI professionals who often need to restructure data to fit specific analytical needs.
Unite.AI
JULY 9, 2024
There are AI optimists and AI pessimists, but what everyone agrees on is that AI will be transformative. From generating ideas for screenwriters to crunching vast amounts of data for analysts , it has countless diverse uses. But what will it mean for the events industry? Event Planning AI has a critical role to play in event planning , and as anyone who works in events will tell you, it’s very hard work.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
Analytics Vidhya
JULY 9, 2024
Introduction The most popular paradigms for programming are object-oriented programming and functional programming. They provide many approaches to the creation of software. Each paradigm has benefits, use cases that make sense, and guiding ideas. Knowing the differences and similarities between FP and OOP is necessary to choose the optimal approach for a particular problem.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
JULY 9, 2024
Introduction When ChatGPT arrived, it revolutionized how we interact with AI, making tasks like summarizing articles and planning trips a breeze. Thanks to OpenAI, you can now create personalized ChatGPT models, called GPTs, tailored to your specific needs. In this tutorial, we’ll walk you through the simple process of creating your own GPTs in just […] The post How to Make Custom ChatGPT?
Ehud Reiter
JULY 9, 2024
Last week I gave a talk on Challenges in Evaluating LLMs, where I basically said that good evaluations of LLMs are possible but not easy. In particular, they require the experimenter to be familiar with challenges (see below) and also carefully design and execute the experiment. Unfortunately many NLP researchers do not do this, which means that a lot of published LLM evaluations are seriously flawed.
Analytics Vidhya
JULY 9, 2024
Introduction Large language models (LLMs) rapidly transform how we interact with information and complete tasks. Among these, Claude 3.5 Sonnet, developed by Anthropic AI, stands out for its exceptional capabilities. Experts out there are not even comparing but saying it will overshadow ChatGPT’s dominance. But what is so extraordinary about this model?
AI Impacts
JULY 9, 2024
by Anne Marthe van der Bles, Sander van der Linden, Alexandra L. J. Freeman, and David J. Spiegelhalter. (2020) [link]. Summary: Numerically expressing uncertainty when talking to the public is fine. It causes people to be less confident in the number itself (as it should), but does not cause people to lose trust in the source of that number. Uncertainty is inherent to our knowledge about the state of the world yet often not communicated alongside scientific facts and numbers.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Analytics Vidhya
JULY 9, 2024
Introduction Few concepts in mathematics and information theory have profoundly impacted modern machine learning and artificial intelligence, such as the Kullback-Leibler (KL) divergence. This powerful metric, called relative entropy or information gain, has become indispensable in various fields, from statistical inference to deep learning. In this article, we’ll dive deep into the world of KL […] The post KL Divergence: The Information Theory Metric that Revolutionized Machine Lear
IBM Journey to AI blog
JULY 9, 2024
Strong data governance is foundational to robust artificial intelligence (AI) governance. Companies developing or deploying responsible AI must start with strong data governance to prepare for current or upcoming regulations and to create AI that is explainable, transparent and fair. Transparency about data is essential for any organization using data to drive decision-making or shape business strategies.
Analytics Vidhya
JULY 9, 2024
Introduction Large Language Models, the successors to the Transformers have largely worked within the space of Natural Language Processing and Natural Language Understanding. From their introduction, they have been replacing the traditional rule-based chatbots. LLMs have a better ability to understand text and can create natural conversations, so they are replacing the conventional chatbots.
Unite.AI
JULY 9, 2024
Building trust between wealth managers and their clients has traditionally been credited to effective communication and understanding between the two partners. Over time, wealth managers’ have become increasingly spread thin because of larger portfolios of more demanding clients. The knock-on effect is that clients can feel out of the loop due to extended response times from their wealth managers.
Speaker: Jamie Bernard
Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.
IBM Journey to AI blog
JULY 9, 2024
In the automotive industry, software development has become a critical component of innovation and competitiveness. As vehicles become more advanced and complex, the demand for sophisticated software continues to rise. To address this challenge, industry leaders IBM®, Siemens, SodiusWillert and BTC joined forces to develop a groundbreaking solution that simplifies and accelerates the automotive software development process.
Unite.AI
JULY 9, 2024
LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. These watermarking techniques are mainly divided into two categories: the KGW Family and the Christ Family. The KGW Family modifies the logits produced by the LLM to create watermarked output by categorizing the vocabulary into a green list and a red list based on the preceding token.
Marktechpost
JULY 9, 2024
Data curation is critical in large-scale pretraining, significantly impacting language, vision, and multimodal modeling performance. Well-curated datasets can achieve strong performance with less data, but current pipelines often rely on manual curation, which is costly and hard to scale. Model-based data curation, leveraging training model features to select high-quality data, offers potential improvements in scaling efficiency.
Towards AI
JULY 9, 2024
Last Updated on July 13, 2024 by Editorial Team Author(s): Jonathan Bennion Originally published on Towards AI. TLDR: Knowledge graphs may not significantly impact context retrieval — all knowledge graph RAG methods I examined showed similar context relevancy scores to those of FAISS (~0.74). Neo4j withOUT its own index achieves a higher answer relevancy score (0.93) but an 8% lift over FAISS may not be worth the ROI constraints.
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Marktechpost
JULY 9, 2024
Accurately modeling magnetic hysteresis is a significant challenge in the field of AI, especially for optimizing the performance of magnetic devices such as electric machines and actuators. Traditional methods often struggle to generalize to novel magnetic fields, limiting their effectiveness in real-world applications. Addressing this challenge is crucial for developing efficient and generalizable models that can predict hysteresis behavior under varying conditions.
Towards AI
JULY 9, 2024
Author(s): Ning Jia Originally published on Towards AI. An Observational Analysis of Maintenance Strategies in Truck Fleet Operations In today’s data-driven world, the ability to solve complex problems using advanced data science techniques is more critical than ever. The journey from raw data to actionable insights is often fraught with challenges that require a creative and multifaceted approach.
Marktechpost
JULY 9, 2024
Microsoft has unveiled an extensive AI learning journey designed to deal with the diverse needs of various personas within a business, ranging from business leaders to citizen developers. This initiative is structured into four stages: Understanding AI, Preparing for AI, Using AI, and Building AI Solutions. Each stage equips organizations with the necessary skills to effectively integrate AI into their operations, enhancing productivity, innovation, and overall business transformation.
Towards AI
JULY 9, 2024
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI saw hints of progress in multi-modal LLMs outside of OpenAI and Google, with SenseNova 5o from SenseTime and Kyutai unveiling its Moshi speech-to-speech. There was also notable progress on Retrieval-Augmented Generation (RAG) with Nvidia’s RankRAG models and the new SummHay RAG evaluation (more on all this below).
Speaker: Conrado Morlan
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.
Marktechpost
JULY 9, 2024
Artificial Intelligence (AI) projects require powerful hardware to function efficiently, especially when dealing with large models and complex tasks. Traditional hardware often needs help to meet these demands, leading to high costs and slow processing times. This presents a challenge for developers and businesses looking to leverage AI for various applications.
Marketing AI Institute
JULY 9, 2024
Join Paul Roetzer and Mike Kaput as they discuss the surge in demand for AI consultants from major firms like BCG and McKinsey, explore the growing disconnect between AI investments and economic impact, and examine Zoom CEO’s Eric Yuan's ambitious plans for AI-driven digital twins in Zoom meetings.
Marktechpost
JULY 9, 2024
Advances in hardware and software have enabled AI integration into low-power IoT devices, such as ultra-low-power microcontrollers. However, deploying complex ANNs on these devices requires techniques like quantization and pruning to meet their constraints. Additionally, edge AI models can face errors due to shifts in data distribution between training and operational environments.
Artificial Lawyer
JULY 9, 2024
Legal tech startup Leya and FromCounsel, the legal information provider, are combining their capabilities to provide firms with a genAI-driven knowledge platform. The partnership will.
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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
Marktechpost
JULY 9, 2024
Controllable Learning (CL) is emerging as a crucial component of trustworthy machine learning. It emphasizes ensuring that learning models meet predefined targets and adapt to changing requirements without retraining. Let’s delve into the methods and applications of CL, particularly focusing on its implementation within Information Retrieval (IR) systems presented by researchers from Renmin University of China.
Cassie Kozyrkov
JULY 9, 2024
Major security issues revealed in audit of a16z reference LLM architecture Continue reading on The Startup »
Marktechpost
JULY 9, 2024
Having high-quality photographs of products is crucial in the ever-changing realm of online marketing and e-commerce. The use of artificial intelligence (AI) has the potential to alter the product photography industry completely. Users can streamline, save money, and unleash their creativity with this platform’s professional-grade product photo editing tools—all without the need for real samples.
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