Analytics Vidhya
MARCH 1, 2024
Introduction In today’s fast-paced world of local food delivery, ensuring customer satisfaction is key for companies. Major players like Zomato and Swiggy dominate this industry. Customers expect fresh food; if they receive spoiled items, they appreciate a refund or discount voucher. However, manually determining food freshness is cumbersome for customers and company staff.
AI News
MARCH 1, 2024
Elon Musk has filed a lawsuit against OpenAI and its CEO, Sam Altman, citing a violation of their nonprofit agreement. The legal battle, unfolding in the Superior Court of California for the County of San Francisco, revolves around OpenAI’s departure from its foundational mission of advancing open-source artificial general intelligence (AGI) for the betterment of humanity.
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Analytics Vidhya
MARCH 1, 2024
Brave Software is expanding its repertoire with the launch of Leo, its AI-powered assistant, on Android devices. Leo, previously exclusive to desktop users, now brings its array of features, from summarizing webpages to writing code, to the fingertips of Android users. Let’s explore the different AI features Leo brings to Android devices. Also Read: Adobe […] The post Brave’s AI Assistant Leo Now Available on Android Devices appeared first on Analytics Vidhya.
Unite.AI
MARCH 1, 2024
In the dynamic intersection of technology and creativity, AI in Marketing stands as a transformative force, reshaping the essence of how brands engage with their audiences. The “ Unleashing creativity through the human-robot duality in marketing ” panel at the 4YFN event, part of the recent Mobile World Congress (MWC) Conference , spotlighted this evolution.
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
MARCH 1, 2024
Introduction Navigating through JSON data in Python opens doors to seamless data manipulation and analysis. JSON, or JavaScript Object Notation, is a lightweight data exchange format widely employed online. This guide discusses the significance of reading JSON files within Python’s versatile ecosystem. Discover various methods, from leveraging the JSON module to utilizing Pandas and best […] The post Here’s How You Can Read JSON Files in Python appeared first on Analytics Vidhy
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
MARCH 1, 2024
Introduction The Hamming Distance Algorithm is a fundamental tool for measuring the dissimilarity between two pieces of data, typically strings or integers. It calculates the number of positions at which the corresponding elements differ. This seemingly simple concept finds numerous applications in various fields, including error detection and correction, bioinformatics, network routing, and cryptography.
Marktechpost
MARCH 1, 2024
In artificial intelligence, achieving efficiency in neural networks is a paramount challenge for researchers due to its rapid evolution. The quest for methods minimizing computational demands while preserving or enhancing model performance is ongoing. A particularly intriguing strategy lies in optimizing neural networks through the lens of structured sparsity.
Analytics Vidhya
MARCH 1, 2024
Addverb Technologies, a renowned figure in the robotics and automation industry, has unveiled three innovative robots at LogiMAT India 2024. Their innovations include India’s first assistive dog robot, a medical cobot, and a collaborative robot. This unveiling marks a significant leap forward in the domains of efficiency, safety, and adaptability across various sectors.
Marktechpost
MARCH 1, 2024
Large language models (LLMs) stand out for their astonishing ability to mimic human language. These models, pivotal in advancements across machine translation, summarization, and conversational AI, thrive on vast datasets and equally enormous computational power. The scalability of such models has been bottlenecked by the sheer computational demand, making training models with hundreds of billions of parameters a formidable challenge.
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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?
NVIDIA
MARCH 1, 2024
Artificial intelligence, like any transformative technology, is a work in progress — continually growing in its capabilities and its societal impact. Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.
Marktechpost
MARCH 1, 2024
The quest for clean, usable data for pretraining Large Language Models (LLMs) resembles searching for treasure amidst chaos. While rich with information, the digital realm is cluttered with extraneous content that complicates the extraction of valuable data. This challenge becomes particularly pronounced when considering the vastness of the web as a data source for LLMs, which thrive on diverse and extensive datasets to enhance their linguistic capabilities.
Unite.AI
MARCH 1, 2024
OpenAI unveiled its latest AI creation – Sora , a revolutionary text-to-video generator capable of producing high-fidelity, coherent videos up to 1 minute long from simple text prompts. Sora represents a massive leap forward in generative video AI, with capabilities far surpassing previous state-of-the-art models. In this post, we’ll provide a comprehensive technical dive into Sora – how it works under the hood, the novel techniques OpenAI leveraged to achieve Sora's incredible video
Marktechpost
MARCH 1, 2024
Large multimodal models (LMMs) have the potential to revolutionize how machines interact with human languages and visual information, offering more intuitive and natural ways for machines to understand our world. The challenge in multimodal learning involves accurately interpreting and synthesizing information from textual and visual inputs. This process is complex due to the need to understand the distinct properties of each modality and effectively integrate these insights into a cohesive unde
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
AWS Machine Learning Blog
MARCH 1, 2024
At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). In a previous post , we described how Knowledge Bases for Amazon Bedrock manages the end-to-end RAG workflow for you and shared details about some of the recent feature launches.
Marktechpost
MARCH 1, 2024
The challenge of tailoring general-purpose LLMs to specific tasks without extensive retraining or additional data persists even after significant advancements in the field. Adapting LMs for specialized tasks often requires substantial computational resources and domain-specific data. Traditional methods involve finetuning the entire model on task-specific datasets, which can be computationally expensive and data-intensive, creating a barrier for applications with limited resources or those requi
Towards AI
MARCH 1, 2024
Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction – Tuned LLMs LLMs offer a revolutionary approach by enabling the execution of various tasks with a single prompt, streamlining the traditional workflow that involves developing and deploying separate models for distinct objectives. Through practical examples, the article illustrates the efficiency of LLMs in tasks such as sentiment analysis of product reviews, identification of emotions, and ext
Marktechpost
MARCH 1, 2024
The exploration of refining large language models (LLMs) to enhance their instruction-following prowess has surged, with Reinforcement Learning with AI Feedback (RLAIF) being a promising technique. This method traditionally involves an initial phase of Supervised Fine-Tuning (SFT) using a teacher model’s demonstrations, followed by a reinforcement learning (RL) phase, where a critic model’s feedback fine-tunes the LLM further.
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.
Ofemwire
MARCH 1, 2024
As a content writer, it’s tough to keep coming up with fresh and interesting content. Content writers are always searching for new ways to make their content better and reach more people. That’s where Gemini AI Prompts For SEO Content come in. The new way to write SEO content, In this post, we’ll show you how Gemini AI can transform your SEO strategy.
Marktechpost
MARCH 1, 2024
When an error or misunderstanding arises, modern LLMs can theoretically reflect on and refine their answers because they are interactive systems capable of multi-turn interaction with users. Previous research has demonstrated that LLMs can enhance their responses using additional conversational context, such as Chain-of-Thought reasoning. However, LLMs designed to maximize human preference can display sycophantic behavior, meaning they will give answers that match what the user thinks is right,
AWS Machine Learning Blog
MARCH 1, 2024
The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Self-service bots integrated with your call center can help you achieve decreased wait times, intelligent routing, decreased time to resolution through sel
Marktechpost
MARCH 1, 2024
In recent research, the concept of radioactivity in the context of Large Language Models (LLMs) has been discussed, with particular attention to the detectability of texts created by LLMs. Here, radioactivity refers to the detectable residues left in a model that has been refined using information produced by an additional LLM. Given the growing blurring of the boundaries between machine-generated and human-generated material, this research is essential to comprehend the ramifications of reusing
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Towards AI
MARCH 1, 2024
Last Updated on March 1, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction – Tuned LLMs LLMs offer a revolutionary approach by enabling the execution of various tasks with a single prompt, streamlining the traditional workflow that involves developing and deploying separate models for distinct objectives.
Marktechpost
MARCH 1, 2024
The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy. Their application in real-time scenarios is hampered by a critical limitation: the inference speed.
NVIDIA
MARCH 1, 2024
Interest in new AI applications reached a fever pitch last year as business leaders began exploring AI pilot programs. This year, they’re focused on strategically implementing these programs to create new value and sharpen their competitive advantage. GTC , NVIDIA’s conference on AI and accelerated computing, set for March 18-21 at the San Jose Convention Center, will feature leaders across a broad swath of industries discussing how they’re charting the path to AI-driven innovation.
Marktechpost
MARCH 1, 2024
Point clouds serve as a prevalent representation of 3D data, with the extraction of point-wise features being crucial for various tasks related to 3D understanding. While deep learning methods have made significant strides in this domain, they often rely on large and diverse datasets to enhance feature learning, a strategy commonly employed in natural language processing and 2D vision.
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.
ODSC - Open Data Science
MARCH 1, 2024
Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. ( Source ) Texas A&M has joined the Artificial Intelligence Safety Institute Consortium (AISIC), focusing on AI safety and reliability ( Source ) The Swiss National Science Foundation (SNSF) has set a stance on its position concerning the deployment of artificial intelligence technologies by researchers seeking its funding. ( Source ) Google CEO Sundar Pich
Marktechpost
MARCH 1, 2024
A key component of deep convolutional neural network training is feature normalization, which aims to increase stability, reduce internal covariate shifts, and boost network performance. The development of several normalization approaches has resulted in the development of batch, group, layer, and instance normalization. Batch normalization is one of these that is frequently used, particularly in computer vision applications.
Extreme Tech
MARCH 1, 2024
Intel is the first foundry to plunk down a truckload of cash for ASML's most advanced chip manufacturing machines.
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