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Analyticsindiamag
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The Fascinating Reason behind Silicon Valley’s Love for the Word Grok
- Silicon Valley companies like xAI, Groq, and New Relic have all used the name Grok for their AI-related products.
- The term 'grok' was popularized by Robert A Heinlein's science fiction novel 'Stranger in a Strange Land'.
- Grok means to understand things intuitively and empathetically, which aligns with the goal of creating advanced AI systems.
- Silicon Valley has a history of drawing inspiration from science fiction, such as OpenAI's references to Douglas Adams' 'The Hitchhiker's Guide to the Galaxy'.
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Appsilon
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Image Credit: Appsilon
R Highcharts: How to Make Interactive Maps for R and R Shiny
- R Highcharts is a free package that allows to build interactive and animated visualizations in R.
- Choropleth maps and bubble maps can be created from R Highcharts.
- Detailed instructions are given on how to create Choropleth R Highcharts Maps.
- Detailed instructions are given on how to add points to R Highcharts Maps.
- R Highcharts Maps can also be integrated with R Shiny which allows to create interactivity between data and user.
- Both choropleth and bubble maps with R Highcharts provide useful visualizations of geographic data.
- Choropleth maps provide a way to group data by geographic area, such as by state or country, and color code the areas according to a numerical variable.
- Bubble maps allow individual data points to be displayed directly on the map and are ideal for datasets with geographic locations.
- R Highcharts maps can also be customized to show only selected regions and adjusted to display data in a variety of ways.
- R Shiny allows to add further interactivity and functionality by allowing the user to change the marker color and add or remove states from the visualization.
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Analyticsindiamag
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Happiest Minds Targets $1 Billion Revenue by 2031 with Generative AI
- Happiest Minds Technologies aims to achieve $1 billion revenue by 2031 with Generative AI as one of its focus areas.
- The company reported a 1.4% QoQ and a 9.5% YoY growth in constant currency revenue for the quarter ending March 31, 2024.
- Happiest Minds currently has 14 customers and a growing client base of 250.
- The company is implementing AI solutions internally and aiming for a 75% growth in headcount.
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Global Fintech Series
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Rocket Companies Hires AI Innovator Shawn Malhotra as Chief Technology Officer
- Rocket Companies has appointed Shawn Malhotra as its first-ever Chief Technology Officer.
- Malhotra brings extensive experience in engineering, product development, and AI strategy.
- As CTO, he will oversee the development and implementation of technology across Rocket Companies' ecosystem.
- His primary focus will be on AI development, data science, product engineering, technology operations, and information security.
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Medium
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Understanding L1/L2 minimization technique part4(Machine Learning 2024)
- This paper focuses on developing new and fast algorithms for recovering a sparse vector from a small number of measurements in compressive sensing (CS).
- Conventional methods like L1 minimization do not work well for coherent systems, so the paper explores the L1-L2 norm as a superior alternative.
- The paper derives an analytical solution for the proximal operator of the L1-L2 metric, making fast L1 solvers like forward-backward splitting (FBS) and alternating direction method of multipliers (ADMM) applicable for L1-L2.
- The resulting algorithms are shown to be convergent under mild conditions and significantly more efficient than the original implementation of L1-L2 based on a difference-of-convex approach in numerical experiments.
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Towards Data Science
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Sparsifying Knowledge-Graph using Target Information
- You can use knowledge graphs to enrich simpler features, but they are often too large and have over sensitivity, resulting in low specificity.
- Node embedding is a method of transforming binary features into a continuous, lower-dimensional vector space.
- PMI is used to evaluate the relevance of each edge in the Knowledge Graph based on its occurrence and the target variable.
- By removing irrelevant edges with low PMI, the sparsity of the graph can be increased intelligently.
- The hyperparameter alpha can be tuned to control the sparsity of the graph while trading off with generalization error.
- Caveat 1: Edges that exhibit sparsity and hold no information should not be removed.
- Caveat 2: Edge-variables can also be defined as an 'either-or' relationship than an 'and' relationship.
- Caveat 3: Conditional PMI can be used to check if an edge between two features is relevant when the first feature is positive.
- The use-case of medical Wikipedia history is used to get a better intuition for the need of sparsification.
- Normalized PMI, ranging between -1 and 1, is a notable variant of PMI.
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Analyticsindiamag
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How SuperKalam Uses OpenAI GPTs to Fuel UPSC Aspirants
- SuperKalam is an AI platform that uses OpenAI's GPTs to assist UPSC aspirants in their exam preparation.
- The platform provides personalised learning experiences, helps create timetables, resolves doubts, and evaluates answers.
- SuperKalam leverages OpenAI GPT-3.5 and GPT-4 Turbo for generating MCQs and reasoning-based problems, respectively.
- The platform has witnessed significant growth, with over 46,000 students and impressive retention rates.
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Medium
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Understanding L1/L2 minimization technique part3(Machine Learning 2024)
- This paper focuses on developing new and fast algorithms for recovering a sparse vector from a small number of measurements in compressive sensing (CS).
- Conventional methods like L1 minimization do not work well in coherent systems where measurements are correlated.
- The L1-L2 norm difference, which has shown superior performance, is computationally expensive.
- The paper presents an analytical solution for the proximal operator of the L1-L2 metric, making fast L1 solvers applicable and efficient.
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Medium
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Image Credit: Medium
DC Blue Beetle — Why Rethinking The Origin of Your Story Can Change How You See The Future
- The Blue Beetle's protagonist, Jaime, subverts the superhero origin-in-loss narrative.
- Twin Cities Innovation Alliance founders reflect on their origins in activism.
- They emphasize the importance of co-powering and working with communities of color.
- They discuss the need to undo scripts that silo and shift towards co-powering.
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Medium
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Understanding L1/L2 minimization technique part2(Machine Learning 2024)
- This paper presents a unified study of L1 over L2 sparsity promoting models in coherent dictionaries.
- Theoretical analysis is provided on the existence of global solutions for constrained and unconstrained L1/L2 models.
- Sparse properties of local minimizers are analyzed to rule out nonlocal-minimizer stationary solutions.
- The alternating direction method of multipliers (ADMM) is applied with nonnegative constraint, resulting in significant improvements in computational time and accuracy for sparse recovery.
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Medium
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Mastering the Basics of Bayesian Statistics
- Bayesian statistics is a powerful framework for reasoning under uncertainty, providing a principled way to update beliefs in light of new evidence.
- Unlike classical statistics, which focuses on estimating fixed parameters, Bayesian statistics treats parameters as random variables with probability distributions.
- Bayesian inference is the process of updating prior beliefs about unknown quantities based on observed data, using Bayes’ theorem.
- By mastering the basics of Bayesian statistics, you gain a powerful toolset for data analysis, modeling, and decision-making across various domains.
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Medium
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Unveiling Google’s Search Generative Experience (SGE): A Comprehensive Guide for Retailers
- Google's Search Generative Experience (SGE) is a new search innovation that generates dynamic content directly within search results from Google's vast knowledge graph, machine learning algorithms, & natural language processing capabilities.
- Retailers can follow actionable steps to maximize the benefits of SGE including implementing structured data markup, optimizing for featured snippets, leveraging visual content, embracing interactive elements, and exploring emerging technologies.
- SGE transcends conventional search by generating instant answers, knowledge cards, visual enhancements, and interactive tools directly within the search results, reducing the need for external websites.
- One of the most distinguishing features of SGE is the inclusion of interactive elements that allow users to actively engage with content without leaving the search interface.
- By optimizing content for SGE, retailers can increase visibility, enhance user experience, gain a competitive advantage and adapt to changing search behaviors.
- SGE provides instant information and interactive features directly within search results, meeting user expectations for quick and relevant answers, leading to improved engagement, user satisfaction and potentially higher conversion rates.
- Adapting to changing search behavior ensures that retail businesses remain visible and relevant in the evolving digital landscape.
- By leveraging SGE, retailers can provide a seamless and satisfying search experience to their target audience and remain at the forefront of search innovation.
- Through the use of structured data markup, optimization for featured snippets, visual content, interactive elements, and emerging technologies, retailers can successfully navigate the world of SGE and maximize their visibility, engagement, and conversion opportunities.
- SGE is a valuable tool for retailers that provides dynamic information, instant answers, rich snippets, and interactive features that can enhance their search advertising and website SEO strategies.
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Medium
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Image Credit: Medium
Entropy, Parrots and Probability
- The language model ChatGPT gathers information from almost everything published online, with the aim of predicting the next word in a sentence using probability scores. However, the task of understanding spoken language is incredibly challenging, given the endless possible word combinations and the vagaries of linguistic meaning.
- To make sense of human language patterns, ChatGPT relies on one of computer science's greatest contributions, Claude Shannon's information theory, which is built on four key elements: stochastic data, probability, surprise and entropy.
- Stochastic data is random and unpredictable, meaning that probabilities are a key element in understanding how likely a particular outcome might be in any given context.
- Using probabilities which are the backbone of stochastic data, ChatGPT can help form an understanding of how likely a particular outcome might be. For instance, the probability of rain, or with computational models the possible outcomes of a stock price might be.
- Surprise is closely linked to the concept of information content; outcomes that are less likely to occur carry more 'information' when they do are not expected.
- Entropy refers to the extent of randomness and is a crucial tool for language models as it allows them to predict and categorize unexpected and unseen data. Information theory offers a framework for modeling complex data sets and finding constructive ways to solve them.
- Given that no two individuals use language in exactly the same way, the sheer scale of the task faced by ChatGPT is enormous. Nonetheless, using the tools offered by information theory, progress is being made in tackling the challenge of deciphering human language.
- It is hoped that the greater the model's accuracy becomes, the more it will enhance computational intelligence and support new paradigms for building smarter and more nuanced agents.
- AI developers use information theory for chunking and organizing data sets to develop an understanding in RAG training solutions, for instance, and to identify where to split data and tackle the challenges in smaller increments.
- To improve probabilities scores of data, developers must find ways to quantify the information within and around the machine's challenge. This is where statistical tools like Shannon's information theory can immensely contribute.
- To sum it up, ChatGPT's ability to understand human language is probabilistic, and improvements are being made with the aid of theories like information theory and its crucial elements: probability, surprise, stochastic data, and entropy.
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Analyticsindiamag
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Not all Indians are CEOs
- US Ambassador to India Eric Garcetti praised Indian immigrants for their contributions to top companies in the US.
- Rajeev Chandrasekhar, MoS for Electronics and Information Technology, highlighted Indian leadership positions in global companies.
- Indian students in the US face challenges in securing internships and job opportunities.
- Despite the success stories, Indian passport holders in top positions in significant institutions remain rare.
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Analyticsindiamag
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Image Credit: Analyticsindiamag
Tata Communications Announces CloudLyte, a Fully Automated Edge Computing Platform
- Tata Communications announced CloudLyte, a fully automated edge computing platform.
- CloudLyte is a multi-access, cloud, and infrastructure-agnostic platform catering to global enterprises.
- It offers a comprehensive unified solution in a box, enabling swift deployment and effortless scaling.
- CloudLyte brings cloud capabilities to the edge, simplifying enterprise operations and maximizing efficiency.
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