insideBIGDATA
AUGUST 19, 2024
In this contributed article, Liran Hason, Co-Founder and CEO of Aporia, addresses the limitations of prompt engineering, outlining his argument for more comprehensive protection – namely, the implementation of guardrails between the LLM and end-user – to keep AI accurate while preventing unwanted behavior.
KDnuggets
AUGUST 23, 2024
Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.
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Eugene Yan
AUGUST 17, 2024
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
Analytics Vidhya
AUGUST 22, 2024
Introduction In language models, where the quest for efficiency and precision is paramount, Llama 3.1 Storm 8B emerges as a notable achievement. This fine-tuned version of Meta’s Llama 3.1 8B Instruct represents a leap forward in enhancing conversational and function-calling capabilities within the 8B parameter model class. The journey to this advancement is rooted in […] The post Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks appeared first on Analy
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
insideBIGDATA
AUGUST 21, 2024
Welcome to insideAI News’s “Heard on the Street” round-up column. In this feature, we highlight thought-leadership commentaries from members of the AI industry ecosystem. We cover the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
KDnuggets
AUGUST 22, 2024
Have you ever wanted to create your library in Python? Well, it’s achievable and surprisingly quite easy!
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
AUGUST 23, 2024
Introduction Artificial Intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous AI language models, two have garnered significant attention: ChatGPT-4 and Llama 3.1. Both are designed to understand and generate human-like text, making them valuable tools for various applications, from customer support to content creation.
insideBIGDATA
AUGUST 20, 2024
Wiliot, the ambient Internet of Things (IoT) pioneer, announced today the launch of WiliBot, a generative AI (GenAI) chatbot that enables natural-language conversations with ambient IoT-connect products.
KDnuggets
AUGUST 19, 2024
Improve your Pandas processing with the NumPy package.
Data Science Dojo
AUGUST 19, 2024
The demand for AI scientist is projected to grow significantly in the coming years, with the U.S. Bureau of Labor Statistics predicting a 35% increase in job openings from 2022 to 2032. AI researcher role is consistently ranked among the highest-paying jobs, attracting top talent and driving significant compensation packages. Industry Adoption: Widespread Implementation: AI and data science are being adopted across various industries, including healthcare, finance, retail, and manufacturing, dri
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Analytics Vidhya
AUGUST 21, 2024
Introduction You’ve probably interacted with AI models like ChatGPT, Claude, and Gemini for various tasks – answering questions, generating creative content, or assisting with research. But did you know these are examples of large language models (LLMs)? These powerful AI systems are trained on enormous text datasets, enabling them to understand and produce text that […] The post Is Hallucination in Large Language Models (LLMs) Inevitable?
insideBIGDATA
AUGUST 22, 2024
Today, Turnitin, a leading provider of technology solutions in academic integrity, announced it will expand its offerings to advance classroom digitization through AI-powered grading, enhanced AI writing detection and customizable individual feedback for students.
KDnuggets
AUGUST 22, 2024
The article highlights five top free machine learning courses to enhance your skills.
Machine Learning Mastery
AUGUST 19, 2024
Learning by doing is the best way to master essential skills for becoming a machine learning engineer. Instead of just focusing on simple classification and regression models. In this blog, we will focus on advanced machine learning projects that will impact your resume and attract recruiters and hiring managers. We will learn about computer vision […] The post 7 Machine Learning Projects That Can Add Value to Any Resume appeared first on MachineLearningMastery.com.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Analytics Vidhya
AUGUST 20, 2024
Introduction Technology has given us a sense of imagining our world where machines can even identify our preferences and anticipate the things that we need along with analyzing past interactions to deliver better output. The future depicted in this world is not the future; it is the present, facilitated by Artificial Intelligence. From the virtual […] The post How Does AI Work?
databricks
AUGUST 20, 2024
Special thanks to Kevin Glover, Martin Ko, Kuber Sharma and the team at Tableau for their valuable insights and contributions to this blog.
KDnuggets
AUGUST 20, 2024
Learn how to build the recommendation system with advanced technology.
Machine Learning Mastery
AUGUST 22, 2024
Introduction Statistical analysis is important in data science. It helps us understand data better. NumPy is a key Python library for numerical operations. It simplifies and speeds up this process. In this article, we will explore several functions for basic statistical analysis offered by NumPy. NumPy is a Python library for numerical computing. It helps […] The post Basic Statistical Analysis with NumPy appeared first on MachineLearningMastery.com.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
AUGUST 19, 2024
Introduction Suppose you are a developer expected to carry out testing on a large web application. It is impossible to go through each feature and all the interactions one by one which may take days or even weeks. Enter Selenium, the game changing tool which automates web browser interaction and thus is more efficient when […] The post A Comprehensive Guide to Selenium with Python appeared first on Analytics Vidhya.
insideBIGDATA
AUGUST 17, 2024
Decube, a pioneer in unified data management solutions, announced the launch of their Copilot, an advanced AI-driven tool designed to empower organizations with seamless, data-driven decision-making capabilities. Decube's Copilot is poised to transform how businesses interact with and leverage their data, making it more accessible, actionable, and insightful.
KDnuggets
AUGUST 20, 2024
This article explains the basics of time series analysis. Learn to prepare your data and visualize trends in R.
Machine Learning Mastery
AUGUST 23, 2024
Bayesian statistics constitute one of the not-so-conventional subareas within statistics, based on a particular vision of the concept of probabilities. This post introduces and unveils what bayesian statistics is and its differences from frequentist statistics, through a gentle and predominantly non-technical narrative that will awaken your curiosity about this fascinating topic.
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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
AUGUST 22, 2024
(SAMPLE) How Generative AI is Revolutionizing Software Development? Introduction Welcome to the future of software development! Generative AI (GenAI) has evolved from a mere buzzword into a powerful force that is fundamentally changing how we create software. No longer limited to theoretical concepts, GenAI is now at the forefront of innovation, automating tasks, generating code, […] The post (SAMPLE) How Generative AI is Revolutionizing Software Development?
databricks
AUGUST 19, 2024
We are excited to announce the latest addition to the Databricks developer experience: the PyCharm Professional Integration with Databricks ! This new plugin.
KDnuggets
AUGUST 20, 2024
Looking to make your data visuals stand out? Check out these five tips for effective data visualization.
Machine Learning Mastery
AUGUST 18, 2024
Preparing categorical data correctly is a fundamental step in machine learning, particularly when using linear models. One Hot Encoding stands out as a key technique, enabling the transformation of categorical variables into a machine-understandable format. This post tells you why you cannot use a categorical variable directly and demonstrates the use One Hot Encoding in […] The post One Hot Encoding: Understanding the “Hot” in Data appeared first on MachineLearningMastery.com.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Analytics Vidhya
AUGUST 20, 2024
Introduction Interaction terms are incorporated in regression modelling to capture the effect of two or more independent variables in the dependent variable. At times, it is not just the simple relationship between the control variables and the target variable that is under investigation, interaction terms can be quite helpful at these moments. These are also […] The post A Guide to Understanding Interaction Terms appeared first on Analytics Vidhya.
insideBIGDATA
AUGUST 23, 2024
In this contributed article, Niko Spyridonos, CEO and Founder of Autoagent Data Solutions, discusses local governments and their use of AI and automation technologies. Niko is a strong proponent of such systems and he has some government survey data that shows we need to move deeper in this area.
Adrian Bridgwater for Forbes
AUGUST 19, 2024
Process management and low-code technology specialist Appian has deployed a new raft of business AI automations.
Machine Learning Mastery
AUGUST 22, 2024
Linear regression models are foundational in machine learning. Merely fitting a straight line and reading the coefficient tells a lot. But how do we extract and interpret the coefficients from these models to understand their impact on predicted outcomes? This post will demonstrate how one can interpret coefficients by exploring various scenarios. We’ll delve into […] The post Interpreting Coefficients in Linear Regression Models appeared first on MachineLearningMastery.com.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
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