insideBIGDATA
JULY 26, 2024
In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways.
Data Science Dojo
JULY 24, 2024
In the rapidly evolving landscape of artificial intelligence, open-source large language models (LLMs) are emerging as pivotal tools for democratizing AI technology and fostering innovation. These models offer unparalleled accessibility, allowing researchers, developers, and organizations to train, fine-tune, and deploy sophisticated AI systems without the constraints imposed by proprietary solutions.
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KDnuggets
JULY 16, 2024
Empowering Developers and Transforming Programming Practices
Analytics Vidhya
JULY 21, 2024
Introduction Having the correct tools and platforms is crucial for learning and innovation in the constantly changing field of artificial intelligence. AI playgrounds offer a great opportunity to test advanced models and technologies without needing a lot of money. If you’re a scientist, creator, or fan, these play areas offer various features for different purposes. […] The post Top 10 Free AI Playgrounds For You to Try in 2024 appeared first on Analytics Vidhya.
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.
databricks
JULY 23, 2024
We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.
Eugene Yan
JULY 6, 2024
What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science Dojo
JULY 31, 2024
With the increasing role of data in today’s digital world, the multimodality of AI tools has become necessary for modern-day businesses. The multimodal AI market size is expected to experience a 36.2% increase by 2031. Hence, it is an important aspect of the digital world. In this blog, we will explore multimodality within the world of large language models (LLMs) and how it impacts enterprises.
KDnuggets
JULY 24, 2024
From the soft tools to the hard tools, these are what make a data scientist successful.
Analytics Vidhya
JULY 18, 2024
Introduction Forget endless resumes and interviews! Hackathons are now the new way for companies to find the best data professionals. These intense coding competitions bring together talented folks to tackle tricky problems. It’s a chance to show off your skills and think outside the box under friendly pressure. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.
databricks
JULY 22, 2024
Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.
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.
Machine Learning Mastery
JULY 19, 2024
In the past, businesses grouped customers based on simple things like age or gender. Now, machine learning has changed this process. Machine learning algorithms can analyze large amounts of data. In this article, we will explore how machine learning improves customer segmentation. Introduction to Customer Segmentation Customer segmentation divides customers into different groups.
insideBIGDATA
JULY 24, 2024
In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified.
Adrian Bridgwater for Forbes
JULY 19, 2024
NTT Data is working to create smaller, task-specific AI models that make advanced AI capabilities accessible in edge computing environments across the Internet of Things.
KDnuggets
JULY 15, 2024
Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.
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
JULY 10, 2024
Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch. It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. This tutorial gives users the skills they need to create effective AI agents, regardless of whether they are developers […] The post Comprehensive Guide to Build AI Agents from Scratch appeared first on Analytics Vidhya.
databricks
JULY 2, 2024
Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.
Data Science Dojo
JULY 5, 2024
Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. These models are trained using historical data to recognize underlying patterns and relationships. Once trained, they can be used to make predictions on new, unseen data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge.
insideBIGDATA
JULY 19, 2024
In this contributed article, Ana Redondo, Product Strategy Lead at Amdocs Technology, explores how enterprises will begin shifting their focus in 2024 to better leverage their data analytics. She explains how this shift in mindset will bring forth an upcoming data revolution. Including how the reservoirs of data, from legacy to next-gen operational technology systems, combined with the troves from the Edge and Network, will provide a new level of insights for enterprises.
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.
Machine Learning Mastery
JULY 15, 2024
In machine learning projects, achieving optimal model performance requires paying attention to various steps in the training process. But before focusing on the technical aspects of model training, it is important to define the problem, understand the context, and analyze the dataset in detail. Once you have a solid grasp of the problem and data, […] The post Tips for Effectively Training Your Machine Learning Models appeared first on MachineLearningMastery.com.
KDnuggets
JULY 12, 2024
Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.
Analytics Vidhya
JULY 13, 2024
Introduction Imagine you’re standing at the edge of a dense forest, each path leading in a different direction, and your goal is to find the most promising route to a hidden treasure. This scenario mirrors the fascinating approach of Tree of Thoughts in AI prompt engineering. Just like you’d weigh various trails, the Tree of […] The post Implementing the Tree of Thoughts Method in AI appeared first on Analytics Vidhya.
databricks
JULY 22, 2024
Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.
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?
Adrian Bridgwater for Forbes
JULY 23, 2024
The biggest challenge in adopting artificial intelligence in the enterprise today is the lack of practices and tools for data curation and generative AI evaluation that can ensure the quality of results
insideBIGDATA
JULY 9, 2024
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, believes that as generative AI continues to evolve, its potential applications across industries are boundless. For executives, understanding the foundational concepts of transformers, LLMs, self-attention, multi-modal models, and retrieval-augmented generation is crucial.
Machine Learning Mastery
JULY 31, 2024
Large Language Models (LLMs) are a hot topic right now, and everyone is getting involved in this new trend. Companies are searching for LLM engineers who can develop and implement AI solutions to optimize their workflow and reduce costs through automation, customer service, recommendations, issue resolution, and debugging. Instead of worrying that AI will take […] The post 7 Free Resource to Master LLMs appeared first on MachineLearningMastery.com.
KDnuggets
JULY 26, 2024
Discover how Bayesian thinking transforms decision-making with its unique approach to updating initial beliefs with new evidence.
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Analytics Vidhya
JULY 23, 2024
Introduction Imagine having an assistant who’s always at your fingertips, ready to help at any moment. That’s what an AI agent offers. Unlike your human assistant, who needs coffee breaks and rest, an AI agent is tireless, working around the clock to support you. Need to schedule a meeting at the last minute? Done. Looking […] The post How to Build Autonomous AI Agents Using OpenAGI?
databricks
JULY 23, 2024
In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.
Adrian Bridgwater for Forbes
JULY 3, 2024
We are now at a point where we can talk about so-called "data products" as defined information entities that exist in a more formally coalesced and correlated way that.
insideBIGDATA
JULY 15, 2024
IT Brand Pulse, a trusted source for research, data, and analysis about data center infrastructure, announced the results of the 2024 IT Brand Leader Survey covering Enterprise Infrastructure for AI. Generative AI is considered the biggest technology inflection point in human history with hundreds of billions of dollars already invested to create a new universe of hardware, software, systems, and services designed for enterprise AI.
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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