insideBIGDATA
SEPTEMBER 20, 2024
In this contributed article, Vall Herard, CEO of Saifr.ai, discusses AI ethics. With the adoption of AI comes the next phase of innovation: understanding our moral compass and learning how to balance technology with morality — AND compliance.
KDnuggets
SEPTEMBER 19, 2024
In Python, functions often require multiple arguments, and you may find yourself repeatedly passing the same values for certain parameters. This is where partial functions can help. Python’s built-in functools module allows you to create partial functions.
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databricks
SEPTEMBER 18, 2024
The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!
Machine Learning Mastery
SEPTEMBER 20, 2024
Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric nature presents unique challenges in model processing, necessitating specific strategies for encoding. This post will begin by discussing the different types of categorical data often encountered in datasets.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
insideBIGDATA
SEPTEMBER 14, 2024
Arcserve, a pioneer in unified data resilience solutions, released its State of Data Resilience in the Enterprise Report. The survey of senior IT professionals in small- to large-sized organizations reveals that while the vast majority recognize how critical proprietary data is to their ongoing operations, more than 25% could not confidently say that their company leaders took this topic seriously.
KDnuggets
SEPTEMBER 16, 2024
Image by Author If you’re in the tech industry (or are attempting to transition into the field), LLMs are a must-learn. Companies have started integrating language models into their workflows to improve efficiencies and cut costs. Due to this, there have been a number of new AI job openings. New roles have begun to.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
SEPTEMBER 19, 2024
Introduction Retrieval Augmented Generation systems, better known as RAG systems, have become the de-facto standard for building intelligent AI assistants answering questions on custom enterprise data without the hassles of expensive fine-tuning of large language models (LLMs). One of the key advantages of RAG systems is you can easily integrate your own data and augment […] The post A Comprehensive Guide to Building Multimodal RAG Systems appeared first on Analytics Vidhya.
insideBIGDATA
SEPTEMBER 17, 2024
In this contributed article, Bryan Eckle, Chief Technology Officer at cBEYONData, suggests that as organizations strive to harness AI’s potential, they must navigate the significant challenges and risks associated with one key factor: high-quality data.
KDnuggets
SEPTEMBER 20, 2024
Rapid development is happening around us, and one of the most interesting aspects of this evolution is artificial intelligence's ability to communicate through natural language with humans. Suppose you want to communicate with some LLM running on your computer without switching between applications or windows, just by using a voice hotkey. This is exactly what.
Adrian Bridgwater for Forbes
SEPTEMBER 20, 2024
What Is A Data Engineer? It’s a moving definition really, because the role of the data engineer itself is changing.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Analytics Vidhya
SEPTEMBER 15, 2024
Introduction Recently, with the rise of large language models and AI, we have seen innumerable advancements in natural language processing. Models in domains like text, code, and image/video generation have archived human-like reasoning and performance. These models perform exceptionally well in general knowledge-based questions. Models like GPT-4o, Llama 2, Claude, and Gemini are trained on publicly […] The post A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini appeared fir
insideBIGDATA
SEPTEMBER 16, 2024
Here is a an example of a wild new experimental feature from Google called NotebookLM. This new Audio Overview feature can turn documents, slides, charts and more into engaging two-party discussions with one click. Two AI hosts start up a lively “deep dive” discussion based on your sources. They summarize your material, make connections between topics, and banter back and forth.
KDnuggets
SEPTEMBER 16, 2024
Image by Editor | Ideogram Let’s learn how to perform time series data aggregation in Pandas. Preparation We would need the Pandas and Numpy packages installed, so we can install them using the following code: pip install pandas numpy With the packages installed, let’s jump into the article. Time Series.
Machine Learning Mastery
SEPTEMBER 18, 2024
Feature engineering helps make models work better. It involves selecting and modifying data to improve predictions. This article explains feature engineering and how to use it to get better results. What is Feature Engineering? Raw data is often messy and not ready for predictions. Features are important details in your data. They help the model […] The post The Concise Guide to Feature Engineering for Better Model Performance appeared first on MachineLearningMastery.com.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Analytics Vidhya
SEPTEMBER 17, 2024
Introduction Vector streaming in EmbedAnything is being introduced, a feature designed to optimize large-scale document embedding. Enabling asynchronous chunking and embedding using Rust’s concurrency reduces memory usage and speeds up the process. Today, I will show how to integrate it with the Weaviate Vector Database for seamless image embedding and search.
insideBIGDATA
SEPTEMBER 19, 2024
DataOps.live, The Data Products Company™, announced the immediate availability of its new range of AIOps capabilities, a groundbreaking set of features that provides end-to-end lifecycle management of AI workloads from development to production.
KDnuggets
SEPTEMBER 19, 2024
Image generated with FLUX.1 [dev] and edited with Canva Pro The 10 GitHub Repository Education Series has been a hit among readers, so here is another list to help you master the basics of deep learning. This collection will guide you through understanding popular deep learning frameworks and various model architectures. In short, you.
databricks
SEPTEMBER 19, 2024
Today, we're excited to introduce Databricks Assistant Quick Fix , a powerful new feature designed to automatically correct common, single-line errors such as.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Analytics Vidhya
SEPTEMBER 18, 2024
Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits. To address this, the Chinchilla Scaling Law, introduced by Hoffmann et al. in […] The post What is the Chinchilla Scaling Law?
insideBIGDATA
SEPTEMBER 20, 2024
This insideAI News “Power to the Data” podcast discusses how AI has been transforming industries and redefining the boundaries of technology for decades. From simple machine learning algorithms that sort emails to complex neural networks that predict market trends, AI has become an integral part of modern life.
KDnuggets
SEPTEMBER 20, 2024
Data come from everywhere, and the number of origins, sources, and formats under which valuable data may appear underscores the need for database management tools capable of loading data from multiple sources. This tutorial illustrates how to load datasets from different formats and sources into Google BigQuery. All the prerequisites we need are having registered.
databricks
SEPTEMBER 20, 2024
Special thanks to Daniel Benito (CTO, Bitext), Antonio Valderrabanos(CEO, Bitext), Chen Wang (Lead Solution Architect, AI21 Labs), Robbin Jang (Alliance Manager, AI21 Labs).
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
SEPTEMBER 18, 2024
Introduction Have you ever wished you could simply chat with your database, asking questions in plain language and getting instant, relevant answers? Imagine the possibilities – no more complex SQL queries or digging through spreadsheets. Well, with the power of LangChain and its new SQL toolkit, that’s exactly what you can do! Diving into the […] The post Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit appeared first on Analytics Vidhya.
Machine Learning Mastery
SEPTEMBER 19, 2024
Building machine learning projects using real-world datasets is an effective way to apply what you’ve learned. Working with real-world datasets will help you learn a great deal about cleaning and analyzing messy data, handling class imbalance, and much more. But to build truly helpful machine learning models, it’s also important to go beyond training and […] The post 5 Real-World Machine Learning Projects You Can Build This Weekend appeared first on MachineLearningMastery.com.
KDnuggets
SEPTEMBER 18, 2024
Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.
databricks
SEPTEMBER 18, 2024
At Databricks, we know that data is one of your most valuable assets. Our product and security teams work together to deliver an enterprise-grade Data Intelligence Platform that enables you to defend against security risks and meet your compliance obligations. In this blog, we'll explain how you can leverage our platform's security features to establish a robust defense-in-depth posture that protects your data and AI assets from risks.
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
Analytics Vidhya
SEPTEMBER 14, 2024
Introduction Mistral has released its very first multimodal model, namely the Pixtral-12B-2409. This model is built upon Mistral’s 12 Billion parameter, Nemo 12B. What sets this model apart? It can now take both images and text for input. Let’s look more at the model, how it can be used, how well it’s performing the tasks […] The post Pixtral-12B: Mistral AI’s First Multimodal Model appeared first on Analytics Vidhya.
Machine Learning Mastery
SEPTEMBER 20, 2024
Every industry uses data to make smarter decisions. But raw data can be messy and hard to understand. EDA allows you to explore and understand your data better. In this article, we’ll walk you through the basics of EDA with simple steps and examples to make it easy to follow. What is Exploratory Data Analysis? […] The post From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis appeared first on MachineLearningMastery.com.
KDnuggets
SEPTEMBER 16, 2024
Image by Author | Canva In data science, handling different types of data is a daily challenge. One of the most common data types is categorical data, which represents attributes or labels such as colors, gender, or types of vehicles. These characteristics or names can be divided into distinct groups or categories, facilitating classification.
databricks
SEPTEMBER 17, 2024
Today, we are excited to announce the support for named parameter markers in the SQL editor. This feature allows you to write parameterized.
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!
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