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
SenseTime has unveiled SenseNova 5.5, an enhanced version of its LLM that includes SenseNova 5o—touted as China’s first real-time multimodal model. SenseNova 5o represents a leap forward in AI interaction, providing capabilities on par with GPT-4o’s streaming interaction features. This advancement allows users to engage with the model in a manner akin to conversing with a real person, making it particularly suitable for real-time conversation and speech recognition applications.
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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.
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.
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
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?
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.
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?
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.
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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?
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
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.
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.
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.
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
AI News
JULY 9, 2024
SenseTime has unveiled SenseNova 5.5, an enhanced version of its LLM that includes SenseNova 5o—touted as China’s first real-time multimodal model. SenseNova 5o represents a leap forward in AI interaction, providing capabilities on par with GPT-4o’s streaming interaction features. This advancement allows users to engage with the model in a manner akin to conversing with a real person, making it particularly suitable for real-time conversation and speech recognition applications.
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.
NVIDIA
JULY 9, 2024
Sphere, a new kind of entertainment medium in Las Vegas, is joining the ranks of legendary circular performance spaces such as the Roman Colosseum and Shakespeare’s Globe Theater — captivating audiences with eye-popping LED displays that cover nearly 750,000 square feet inside and outside the venue. Behind the screens, around 150 NVIDIA RTX A6000 GPUs help power stunning visuals on floor-to-ceiling, 16x16K displays across the Sphere’s interior, as well as 1.2 million programmable LED pucks on th
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.
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.
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.
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.
Marktechpost
JULY 9, 2024
Retrieval-augmented generation (RAG) has emerged as a crucial technique for enhancing large language models (LLMs) to handle specialized knowledge, provide current information, and adapt to specific domains without altering model weights. However, the current RAG pipeline faces significant challenges. LLMs struggle with processing numerous chunked contexts efficiently, often performing better with a smaller set of highly relevant contexts.
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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.
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.
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
The research on vision-language models (VLMs) has gained significant momentum, driven by their potential to revolutionize various applications, including visual assistance for visually impaired individuals. However, current evaluations of these models often need to pay more attention to the complexities introduced by multi-object scenarios and diverse cultural contexts.
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.
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).
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): 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.
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