Wed.Jan 17, 2024

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Capgemini and AWS Strengthen Ties for Widespread Generative AI Adoption

Analytics Vidhya

Capgemini and Amazon Web Services (AWS) have extended their strategic collaboration, accelerating the adoption of generative AI solutions across organizations. The multi-year agreement focuses on helping clients move beyond experimental stages to full-scale generative AI implementations. They intend to provide smooth transitions addressing challenges such as cost, scale, and trust.

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Unite.AI Launches Premium.AI Domain Name Marketplace

Unite.AI

In a strategic move to address a significant gap in the domain marketplace, Unite.AI has launched a premium.AI domain name marketplace. This pioneering initiative aims to create a dedicated platform for startups and enterprises to access and select from a curated list of premium.AI domains. The decision was driven by the realization that there is no existing marketplace catering specifically to the growing demand for upscale.AI domain names, which have become increasingly valuable due to the ris

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Insights on AI from Sam Altman, Satya Nadella and Yann LeCun at WEF 2024

Analytics Vidhya

The World Economic Forum (WEF), known for bringing together the world’s elite, held its annual meeting on January 15th. Some of the most influential figures in technology and business were a part of this event. This year’s gathering saw AI leaders like Sam Altman, Satya Nadella, and Yann LeCun converging to discuss the profound impact […] The post Insights on AI from Sam Altman, Satya Nadella and Yann LeCun at WEF 2024 appeared first on Analytics Vidhya.

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Stability AI releases Stable Code 3B for enhanced coding assistance

AI News

Stability AI has announced the release of Stable Code 3B , an upgraded three billion parameter AI system for automatic code generation and completion. With enhancements like larger context size and improved completion quality, Stable Code 3B aims to push the boundaries of AI-assisted software development. At just three billion parameters, Stable Code 3B is designed to run efficiently on readily available hardware like laptops—unlike larger models which require expensive specialised chips.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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30+ Big Data Interview Questions

Analytics Vidhya

Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools. To assess a candidate’s proficiency in this dynamic field, the following set of advanced interview questions delves into intricate topics ranging from schema design and data governance to the utilization of specific technologies […] The post 30+ Big Data Interview Questions appeared first on Analytics Vidhya.

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Vodafone and Microsoft Forge $1.5 Billion Decade-Long AI and IoT Partnership

Analytics Vidhya

In a recent collaboration, Vodafone and Microsoft have announced a transformative 10-year strategic partnership, poised to reshape the digital landscape for over 300 million businesses, public sector organizations, and consumers across Europe and Africa. The $1.5 billion investment will drive advancements in artificial intelligence (AI), digital payments, and the Internet of Things (IoT).

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Rising Concerns Over AI Hallucinations and Bias: Aporia’s 2024 Report Highlights Urgent Need for Industry Standards

Unite.AI

A recent report from Aporia , a leader in the AI control platform sector, has brought to light some startling findings in the realm of artificial intelligence and machine learning (AI & ML). Titled “2024 AI & ML Report: Evolution of Models & Solutions,” the survey conducted by Aporia points to a growing trend of hallucinations and biases within generative AI and large language models (LLMs), signaling a crucial challenge for an industry rapidly advancing towards maturity.

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Agriculture & Deep Learning: Improving Soil & Crop Yields

Analytics Vidhya

Introduction Agriculture is more than just a job for many Indians; it’s a way of life. It’s the means through which they support their livelihoods and contribute immensely to India’s economy. Determination of the type of soil that has the clay, sand, and silt particles in the respective proportions is important for suitable crop selection […] The post Agriculture & Deep Learning: Improving Soil & Crop Yields appeared first on Analytics Vidhya.

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AlphaGeometry: An Olympiad-level AI system for geometry

DeepMind

Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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OpenAI Updates Policy to Allow Military Use and Weapons Development

Analytics Vidhya

OpenAI, a prominent player in the field of artificial intelligence (AI), has recently updated its usage policy, removing explicit prohibitions on military applications. The company’s decision to shift from a specific ban on ‘military and warfare’ and ‘weapons development’ has gotten people concerned about its future plans.

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Unlabel Releases Tower: A Multilingual 7B Parameter Large Language Model (LLM) Optimized for Translation-Related Tasks

Marktechpost

With the growth of large language models, natural language processing has been revolutionized. Many LLMs, like GPT-3.5, LLaMA, and Mixtral, came up last year, which helped tackle diverse language tasks. Even though there are many such LLMs now, open-source models have no reliable models for translation tasks. Thorough research has been done to tackle this challenge.

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Exception Handling in Python: A Comprehensive Guide to Error Elimination

Analytics Vidhya

Introduction Exception handling is a critical aspect of Python programming that empowers developers to identify, manage, and resolve errors, ensuring robust and error-free code. In this comprehensive guide, we will delve into the world of Python exception handling, exploring its importance, best practices, and advanced techniques. Whether you’re a beginner or an experienced developer, mastering […] The post Exception Handling in Python: A Comprehensive Guide to Error Elimination appe

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This AI Paper Unveils Key Methods to Refine Reinforcement Learning from Human Feedback: Addressing Data and Algorithmic Challenges for Better Language Model Alignment

Marktechpost

Reinforcement learning (RL) has applications in various fields, and one such important application can be found in aligning language models with human values. Reinforcement learning from Human Feedback (RLHF) emerges as a pivotal technology in this alignment field. One of the challenges pertains to the limitations of reward models that serve as proxies for human preferences in driving RL optimization.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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HCLTech and SAP Join Forces to Propel Generative AI Adoption

Analytics Vidhya

In a strategic move towards fostering innovation and advancing the adoption of Generative AI (GenAI), HCL Technologies (HCLTech) has announced a collaborative partnership with SAP. The collaboration aims to create cutting-edge solutions, leveraging the strengths of both entities, to drive transformative change across various business sectors. Also Read: Deloitte’s PairD AI Chatbot: Transforming Workflows and […] The post HCLTech and SAP Join Forces to Propel Generative AI Adoption appeared

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Meet FedTabDiff: An Innovative Federated Diffusion-based Generative AI Model Tailored for the High-Quality Synthesis of Mixed-Type Tabular Data

Marktechpost

While generating realistic tabular data, one of the difficulties faced by the researchers is maintaining privacy, especially in sensitive domains like finance and healthcare. As the amount of data and the importance of data analysis is increasing in all fields and privacy concerns are leading to hesitancy in deploying AI models, the importance of maintaining privacy is also increasing.

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Constructors in Python: Definition, Types, and Rules

Analytics Vidhya

Introduction Constructors are the backbone of Python programming, defining the essence of object-oriented programming (OOP). In this guide, we unravel the complexities of Python constructors, exploring their types, significance, usage, and advanced functionalities. Learn basic of Python here. Importance of Constructors in Python Types of Constructors in Python with Examples Constructors in Python play a […] The post Constructors in Python: Definition, Types, and Rules appeared first on Ana

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Researchers from IST Austria and Neural Magic Unveil RoSA: A New AI Method for Efficient Language Model Fine-Tuning

Marktechpost

Developing large language models (LLMs) is a significant advancement in artificial intelligence and machine learning. Due to their vast size and complexity, these models have shown remarkable capabilities in understanding and generating human language. However, their extensive parameter count poses challenges regarding computational and memory resources, especially during the training phase.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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ORDER BY Clause in SQL

Analytics Vidhya

Introduction Structured Query Language (SQL) is the backbone of relational database management systems, empowering users to interact with and retrieve information from databases. When working with databases, sorting the data in a specific order is often necessary to make it more meaningful and easier to analyze. This is where the ORDER BY clause in SQL […] The post ORDER BY Clause in SQL appeared first on Analytics Vidhya.

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This AI Paper from NVIDIA and UC San Diego Unveils a New Breakthrough in 3D GANs: Scaling Neural Volume Rendering for Finer Geometry and View-Consistent Images

Marktechpost

3D-aware Generative Adversarial Networks (GANs) have made remarkable advancements in generating multi-view-consistent images and 3D geometries from collections of 2D images through neural volume rendering. However, despite these advancements, a significant challenge has emerged due to the substantial memory and computational costs associated with dense sampling in volume rendering.

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Quiz of the Day (Basic Python Outputs) #10

Analytics Vidhya

Welcome to our brand new quiz series, where we ask 10 thought-provoking AI questions to check your knowledge. Whether you’re a seasoned python professional, an aspiring learner, or someone who loves a good brain teaser, our quizzes cater to all levels of expertise. Join us in the pursuit of continuous learning and test your wits […] The post Quiz of the Day (Basic Python Outputs) #10 appeared first on Analytics Vidhya.

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Researchers from Columbia University Unveil Hierarchical Causal Models: Transforming the Analysis of Nested Data for Enhanced Causal Understanding

Marktechpost

In advanced computing, the focus intensifies on creating more efficient data processing techniques. The modern world, increasingly reliant on data for decision-making, demands methods to swiftly and accurately interpret vast and complex datasets. This field’s significance spans diverse sectors, from healthcare to finance, where understanding data leads to insightful and impactful decisions.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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SQL DATEDIFF function

Analytics Vidhya

Introduction Structured Query Language (SQL) is a powerful tool for managing and manipulating relational databases. Among its arsenal of functions, the DATEDIFF function stands out as a versatile tool for calculating date and time differences. In this blog post, we’ll delve into the intricacies of the SQL DATEDIFF function, exploring its syntax, use cases, and […] The post SQL DATEDIFF function appeared first on Analytics Vidhya.

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Researchers from Tsinghua University and Harvard University introduces LangSplat: A 3D Gaussian Splatting-based AI Method for 3D Language Fields

Marktechpost

In human-computer interaction, the need to create ways for users to communicate with 3D environments has become increasingly important. This field of open-ended language queries in 3D has attracted researchers due to its various applications in robotic navigation and manipulation, 3D semantic understanding, and editing. However, current approaches have limitations of slow processing speeds and limited accuracy.

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Getting Started with Permutation and Combination in Python

Analytics Vidhya

Introduction Combinatorial mathematics is a branch of mathematics that deals with counting, arranging, and selecting objects. It plays a crucial role in various fields, such as probability, statistics, cryptography, and data analysis. In Python, powerful libraries and algorithms allow us to work efficiently with permutations and combinations. In this article, we will explore the fundamentals […] The post Getting Started with Permutation and Combination in Python appeared first on Analytics

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Meet Continue: An Open-Source Autopilot for VS Code and JetBrains

Marktechpost

Navigating the intricate coding landscape often presents developers with a recurrent challenge – the disruptive back-and-forth between their code and external language models. This process involves a tedious dance of copying, pasting, and editing, leading to a fractured coding flow. While some developers have explored the use of ChatGPT during coding, the constant context-switching required has rendered the experience more cumbersome than beneficial.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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COUNT function in SQL

Analytics Vidhya

Introduction Structured Query Language (SQL) is the cornerstone of database management, enabling users to interact with and manipulate data efficiently. One of the fundamental functions in SQL is COUNT, a powerful tool that provides valuable insights into the size of datasets. Counting the number of rows or distinct values in a table is often necessary […] The post COUNT function in SQL appeared first on Analytics Vidhya.

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This NIST Trustworthy and Responsible AI Report Develops a Taxonomy of Concepts and Defines Terminology in the Field of Adversarial Machine Learning (AML)

Marktechpost

Artificial intelligence (AI) systems are expanding and advancing at a significant pace. The two main categories into which AI systems have been divided are Predictive AI and Generative AI. The well-known Large Language Models (LLMs), which have recently gathered massive attention, are the best examples of generative AI. While Generative AI creates original content, Predictive AI concentrates on making predictions using data.

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Exploring the Frontiers of AI Research and Innovation with Dr. Gautam Shroff

Analytics Vidhya

Introduction In our recent Leading with Data session with Dr. Gautam Shroff, Senior Vice President & Head of Research at Tata Consultancy Services, we delve into the dynamic journey from academia to industry research. Dr. Shroff sheds light on TCS’s AI research evolution, emphasizing the transformative shift from big data to the frontiers of deep […] The post Exploring the Frontiers of AI Research and Innovation with Dr.