Fri.Sep 29, 2023

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Fundamental Principles of Langchain in LLM Based Application Development

Analytics Vidhya

Introduction We live in an age where large language models (LLMs) are on the rise. One of the first things that comes to mind nowadays when we hear LLM is OpenAI’s ChatGPT. Now, did you know that ChatGPT is not exactly an LLM but an application that runs on LLM models like GPT 3.5 and […] The post Fundamental Principles of Langchain in LLM Based Application Development appeared first on Analytics Vidhya.

Modeling 353
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10 most in-demand generative AI skills

CIO Business Intelligence

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams. Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more

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Revolutionizing Image Retrieval: Harnessing Neo4j and Embeddings for Speed and Precision

Analytics Vidhya

Introduction Picture this: You’re searching for products that look like something you’ve seen and loved before. Finding visually similar items can be a game-changer, whether fashion, home decor, or gadgets. But how do you navigate through a vast sea of images to pinpoint those perfect matches? Enter the world of robust image retrieval systems.

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Getting Started with PyTorch in 5 Steps

KDnuggets

This tutorial provides an in-depth introduction to machine learning using PyTorch and its high-level wrapper, PyTorch Lightning. The article covers essential steps from installation to advanced topics, offering a hands-on approach to building and training neural networks, and emphasizing the benefits of using Lightning.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Evaluation of GenAI Models and Search Use Case

Analytics Vidhya

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures. These models have opened doors to various applications, from chatbots to content generation, that enable more interactive and versatile interactions between humans and machines. But how do we evaluate the effectiveness of these generative AI models […] The post Evaluation of GenAI Models and Search Use Case appeared first on

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

Over the last eighteen months or so, a motley group of teenagers under the banner of Lapsus$ managed to hack into “unbreachable” fortresses at tech giants such as Okta, T-Mobile, Nvidia, Microsoft, and Globant using unsophisticated but creative and persistent techniques. While the group’s goals were unclear and differing – fluctuating between amusement, monetary gain, and notoriety – at various times, it again brought to the fore the persistent gaps in security at even the biggest and most infor

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A Comparative Overview of the Top 10 Open Source Data Science Tools in 2023

KDnuggets

Are you looking for the open source tools to help you in your data science journey? Look no further. Discover these game-changers that will elevate your data-driven decisions.

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How to Develop A Multi-File Chatbot?

Analytics Vidhya

Introduction In today’s data-driven world, whether you’re a student looking to extract insights from research papers or a data analyst seeking answers from datasets, we are inundated with information stored in various file formats. From research papers in PDF to reports in DOCX and plain text documents (TXT), to structured data in CSV files, there’s […] The post How to Develop A Multi-File Chatbot?

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Top 7 Free Cloud Notebooks for Data Science

KDnuggets

Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.

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What Does ViTMatte Reveal About the Cutting-Edge in Image Matting Technology?

Analytics Vidhya

Introduction Image matting technology is a computer vision and image processing technique that separates the foreground objects from the background in an image. The goal of image matting is to accurately compute the transparency or alpha values for each pixel in the image, indicating how much of the pixel belongs to the foreground and how […] The post What Does ViTMatte Reveal About the Cutting-Edge in Image Matting Technology?

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Should finance organizations bank on Generative AI?

CIO Business Intelligence

As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. These conversations are so weighty, they are happening at the boardroom level. I get it. Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. In the finance and banking industry, however, organizations are seeking extra guidance on the best way forward.

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Mastering Diffusion Models: A Guide to Image Generation with Stable Diffusion

Analytics Vidhya

Introduction Diffusion models, rooted in probabilistic generative modeling, are powerful tools for data generation. Initially in machine learning research, their history dates back to the mid-2010s when Denoising Autoencoders were developed. Today, they have gained prominence for their ability to generate high-quality images from text by modeling the denoising process.

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Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations

CIO Business Intelligence

Generative AI (GenAI) is not just the topic of the hour – it may well be the topic of the decade and beyond. Until a year ago, when people suggested that AI was already mainstream and asked what the next big thing would be, I replied that we had not reached the end state of AI yet. All of us have experienced this with ChatGPT – the conversation has shifted completely.

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What is Adam Optimizer?

Analytics Vidhya

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions. One of the most popular optimization algorithms used in training deep neural networks is the Adam optimizer, and achieving optimal performance and training efficiency is a quest that continues to captivate researchers and practitioners alike. […] The post What is Adam Optimizer?

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Real-time transaction data analysis with IBM Event Automation

IBM Big Data Hub

As the pace and volume of digital business continue to increase, organizations are facing mounting pressure to accelerate the speed at which they do business. The ability to quickly respond to shifting customer and market dynamics has become key for contending with today’s growing digital economy. In a survey run by IDC, a leading provider of global IT research and advice, 43% of technology leaders indicated that they were “planning to deliver innovative digital products and services

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Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files is crucial for several reasons. Firstly, XML files are used in many industries, including finance, healthcare, and government. Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations.

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IBM Cloud inactive identities: Ideas for automated processing

IBM Big Data Hub

Regular cleanup is part of all account administration and security best practices, not just for cloud environments. In our blog post on identifying inactive identities , we looked at the APIs offered by IBM Cloud Identity and Access Management (IAM) and how to utilize them to obtain details on IAM identities and API keys. Some readers provided feedback and asked on how to proceed and act on identified inactive identities.

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Case Study – Smarten Augmented Analytics Case Study: Pharmaceutical, Clinical Research and Innovation Company

Smarten

The Client is a global business governed by a foundation whose mission is to have a meaningful social impact, both for patients and for a sustainable world. With its unique governance model, the Client business can fully serve its vocation with a long-term vision and fulfil its commitment to therapeutic progress and to serving patient needs. The company has grown exponentially, first across France and then throughout the world, driven by the transformation of the business.

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Optimizing The Modern Developer Experience with Coder

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.

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Keeping the Pace: How the EU AI Act Has Evolved to Stay Ahead

Dataiku

Regulating fast-moving technologies is never easy. The current U.S. Department of Justice clash with Google over anti-competitive behavior in the online advertising market is just the latest example in a string of similar antitrust cases involving big tech which have failed to yield substantive results. Questions have been asked of whether “antitrust [is] still fit for purpose in the digital age,” effectively — are our legal tools keeping up with market reality?