Analytics Vidhya

JUNE 20, 2024

Introduction An introduction to machine learning (ML) or deep learning (DL) involves understanding two basic concepts: parameters and hyperparameters. When I came across these terms for the first time, I was confused because they were new to me. If you’re reading this, I assume you are in a similar situation too. So let’s explore and […] The post Understanding Parameters and Hyperparameters appeared first on Analytics Vidhya.

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Deep Learning Machine Learning ML 308

AI News

JUNE 20, 2024

Ilya Sutskever, former chief scientist at OpenAI, has revealed his next major project after departing the AI research company he co-founded in May. Alongside fellow OpenAI alumnus Daniel Levy and Apple’s former AI lead Daniel Gross, the trio has formed Safe Superintelligence Inc. (SSI), a startup solely focused on building safe superintelligent systems.

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OpenAI Big Data Automation AI Research 270

Analytics Vidhya

JUNE 20, 2024

Introduction Land segmentation is significant in farther detecting and geological data frameworks (GIS) for analyzing and classifying diverse arrive cover sorts in partisan symbolism. This direct will walk you through making a arrive division demonstrate utilizing Google Soil Motor (GEE) and joining it with Python for upgraded usefulness. By the conclusion of this direct, you’ll […] The post Guide to Land Cover Classification using Google Earth Engine appeared first on Analytics Vidh

Python 303

Python Machine Learning 303

Unite.AI

JUNE 20, 2024

The evolution of generative AI is not just reshaping our interaction and experiences with computing devices, it is also redefining the core computing as well. One of the key drivers of the transformation is the need to operate generative AI on devices with limited computational resources. This article discusses the challenges this presents and how neural processing units (NPUs) are emerging to solve them.

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Generative AI Neural Network Natural Language Processing AI 162

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

JUNE 20, 2024

Introduction SQL is an essential tool to know for anybody working with data. It comes with a range of functions that make querying in databases, a breeze. In this article, we are going to see one of the fundamentals of SQL, the SELECT statement. This function helps in retrieving data from one or more tables. […] The post SQL SELECT: Syntax, Use Cases, and Implementation appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 20, 2024

Introduction Polars is a high-performance DataFrame library designed for speed and efficiency. It leverages all available cores on your machine, optimizes queries to minimize unnecessary operations, and manages datasets larger than your RAM. With a consistent API and strict schema adherence, Python Polars ensures predictability and reliability. Written in Rust, it offers C/C++ level performance, […] The post Python Polars: High-Performance DataFrame Library in Rust appeared first on Analyt

Python 289

Python Data Analysis 289

Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language translation. However, deploying LLMs can be a challenging task due to their immense size and computational requirements. Kubernetes, an open-source container orchestration system, provides a powerful solution for deploying and managing LLMs at scale.

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Large Language Models LLM Metadata BERT 130

Analytics Vidhya

JUNE 20, 2024

Introduction In this article, we examine the fundamental SQL BETWEEN operator and examine its applications, requirements, and adaptability to different kinds of data. You’ll obtain a thorough understanding of how to use the BETWEEN operator in your SQL queries, from comprehending the fundamental syntax to using it in real-world scenarios with dates, numbers, and texts. […] The post 3 Common Ways to Use SQL BETWEEN Operator appeared first on Analytics Vidhya.

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IBM Journey to AI blog

JUNE 20, 2024

The artificial intelligence (AI) governance market is experiencing rapid growth, with the worldwide AI software market projected to expand from USD 64 billion in 2022 to nearly USD 251 billion by 2027, reflecting a compound annual growth rate (CAGR) of 31.4% ( IDC ). This growth underscores the escalating need for robust governance frameworks that ensure AI systems are transparent, fair and comply with increasing regulatory demands.

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Responsible AI Automation AI AI Modeling 140

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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?

Business Intelligence

Analytics Vidhya

JUNE 20, 2024

Introduction A significant component of a Database Management System (DBMS) that is essential to database administration and design is the super key. Comprehending super keys facilitates the maintenance of data integrity and record uniqueness in relational databases. This article provides a detailed explanation of super keys, their characteristics, types, and practical applications.

Data Integration 285

Data Integration 285

Marktechpost

JUNE 20, 2024

In the rapidly advancing field of Artificial Intelligence (AI), effective use of web data can lead to unique applications and insights. A recent tweet has brought attention to Firecrawl , a potent tool in this field created by the Mendable AI team. Firecrawl is a state-of-the-art web scraping program made to tackle the complex problems involved in getting data off the internet.

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Large Language Models LLM Data Extraction Data Scientist 133

Analytics Vidhya

JUNE 20, 2024

Introduction This article will discuss cosine similarity, a tool for comparing two non-zero vectors. Its effectiveness at determining the orientation of vectors, regardless of their size, leads to its extensive use in domains such as text analysis, data mining, and information retrieval. This article explores the mathematics of cosine similarity and shows how to use it […] The post How to Calculate Cosine Similarity in Python?

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Python Data Mining 272

Marktechpost

JUNE 20, 2024

Fireworks AI releases Firefunction-v2 , an open-source function-calling model designed to excel in real-world applications. It integrates with multi-turn conversations, instruction following, and parallel function calling. Firefunction-v2 offers a robust and efficient solution that rivals high-end models like GPT-4o but at a fraction of the cost and with superior speed and functionality.

Large Language Models 131

Large Language Models AI AI OpenAI 131

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

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Analytics Vidhya

JUNE 20, 2024

Introduction The field of data science is ever evolving. New tools and techniques keep emerging every day. In the current job scenario, particularly in 2024, professionals are expected to keep themselves updated on these changes. All types of businesses are seeking skilled data scientists who can help them decipher their data sensibly and keep pace […] The post 40 Data Science Coding Questions and Answers for 2024 appeared first on Analytics Vidhya.

Data Science 267

Data Science Data Scientist 267

SAS Software

JUNE 20, 2024

Good educators are more than a source of knowledge; they inspire, innovate and continuously adapt to provide their students with the best learning experiences. Effective educators embrace new technologies, foster critical thinking and prepare students for future challenges. Recognizing their importance, SAS recently honored exemplary educators at SAS Innovate 2024. [.

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Marktechpost

JUNE 20, 2024

LLMs can memorize and reproduce their training data, posing significant privacy and copyright risks, especially in commercial settings. This issue is critical for models generating code, as they might inadvertently reuse verbatim code snippets, potentially conflicting with downstream licensing terms, including those restricting commercial use. Additionally, models may expose personally identifiable information (PII) or other sensitive data.

Large Language Models 130

Large Language Models Data Extraction ML Artificial Intelligence 130

IBM Journey to AI blog

JUNE 20, 2024

Recent years have seen a remarkable surge in AI adoption, with businesses doubling down. According to the IBM® Global AI Adoption Index, about 42% of enterprise-scale companies surveyed (> 1,000 employees) report having actively deployed AI in their business. 59% of those companies surveyed that are already exploring or deploying AI say they have accelerated their rollout or investments in the technology.

Machine Learning 100

Machine Learning AI AI Deep Learning 100

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.

Business Intelligence

AWS Machine Learning Blog

JUNE 20, 2024

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency.

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Auto-classification LLM Prompt Engineer Prompt Engineering 131

Extreme Tech

JUNE 20, 2024

The company reportedly has 'no plans' to implement AudioSeal, which could otherwise help internet users differentiate AI-generated speech from real speech.

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AI AI 124

Marktechpost

JUNE 20, 2024

Researchers from Microsoft, the University of Massachusetts, Amherst, and the University of Maryland, College Park, address the challenge of understanding how Retrieval Augmented Generation (RAG) impacts language models’ reasoning and factual accuracy (LMs). The study focuses on whether LMs rely more on the external context provided by RAG than their parametric memory when generating responses to factual queries.

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Natural Language Processing ML Large Language Models Artificial Intelligence 110

Extreme Tech

JUNE 20, 2024

Microsoft initially brushed off a researcher's good-faith disclosure, but after a decent amount of social media upset, it's reopening its investigation.

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Marktechpost

JUNE 20, 2024

Given the present state of the economy, data teams must ensure that they get the most out of their Snowflake investment. The primary function of Snowflake is that of a data warehouse. Data teams can store and handle data with this cloud-based solution. A big worry for data teams is snowflake expenses. Discussions with data teams revealed that minimizing expenses was a top objective for the company.

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Automation Metadata AI AI 109

TheSequence

JUNE 20, 2024

Created Using Ideogram Interpretability is considered by many one of the next frontiers in LLMs. These new generation of frontier models are often seen as opaque systems: data enters, a response emerges, and the reasoning behind the specific response remains hidden. This obscurity complicates the trustworthiness of these models, raising concerns about their potential to produce harmful, biased, or untruthful outputs.

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LLM Machine Learning AI AI 105

Marktechpost

JUNE 20, 2024

The domain of artificial intelligence has been significantly shaped by the emergence of large language models (LLMs), showing vast potential across various fields. However, enabling LLMs to effectively utilize computer science knowledge and serve humanity more efficiently remains a key challenge. Despite existing studies covering multiple fields, including computer science, there’s a lack of comprehensive evaluation specifically focused on LLMs’ performance in computer science.

Large Language Models 105

Large Language Models LLM Artificial Intelligence Artificial Intelligence 105

Microsoft AI

JUNE 20, 2024

Why AI sometimes gets it wrong — and big strides to address it Written by stclarke Published June 20, 2024 Category AI AI The post Why AI sometimes gets it wrong — and big strides to address it appeared first on Source.

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AI AI 80

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.

Generative AI

Marktechpost

JUNE 20, 2024

Managing pull requests can be time-consuming and challenging for development teams. Reviewing code changes, ensuring compliance, updating documentation, and maintaining consistent quality are essential but demanding tasks. The complexity increases with the size and frequency of pull requests, often leading to delays and bottlenecks in the development process.

Automation 105

Automation DevOps AI AI 105

Machine Learning Mastery

JUNE 20, 2024

As a data professional, you should also know how to build predictive models with machine learning to solve business problems. And if you’re interested in machine learning, you’re probably also looking for the best resources to get going. Well, you can always choose a self-paced online course that best aligns with your learning preferences.

Machine Learning 100

Machine Learning 100

Marktechpost

JUNE 20, 2024

Anthropic AI has launched Claude 3.5 Sonnet , marking the first release in its new Claude 3.5 model family. This latest iteration of Claude brings significant advancements in AI capabilities, setting a new benchmark in the industry for intelligence and performance. Introduction to Claude 3.5 Sonnet Anthropic AI introduced Claude 3.5 Sonnet, which is available for free on Claude.ai and the Claude iOS app.

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AI Modeling AI AI Artificial Intelligence 105