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 19, 2024
Mosaic AI Model Training now supports fine-tuning up to 131K context length for Llama 3.1 models. More efficient training at long sequence lengths is made possible by several optimizations highlighted in this post.
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.
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?
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.
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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.
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.
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
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!
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.
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.
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.
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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.
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).
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 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.
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?
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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?
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.
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 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.
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.
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.
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.
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 17, 2024
When working with dictionaries in Python, you’ll sometimes have to merge them into a single dictionary for further processing. In this tutorial, we'll go over three common methods to merge Python dictionaries. Specifically, we’ll focus on merging dictionaries using: The update() method Dictionary unpacking The union operator Let’s get started. Note: You can find.
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.
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.
databricks
SEPTEMBER 19, 2024
The value of Generative AI, the deepened investment Databricks has made in the space, and how customers have benefited from the certification.
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.
KDnuggets
SEPTEMBER 17, 2024
Let’s learn how to handle large text inputs in the Large Language Model (LLM). Preparation Ensure you have the Transformers and datasets package from Hugging Face installed in your environment. If not, you can install them via pip using the following code: pip install transformers datasets Additionally, you should install the.
Analytics Vidhya
SEPTEMBER 20, 2024
Introduction Large Language Models are rapidly transforming industries—today, they power everything from personalized customer service in banking to real-time language translation in global communication. They can answer questions in natural language, summarize information, write essays, generate code, and much more, making them invaluable tools in today’s world.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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