Analytics Vidhya

JUNE 13, 2024

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis. However, working with LLMs can be challenging, requiring developers to navigate complex prompting, data integration, and memory management tasks. This is where Langchain comes into play, a powerful open-source Python framework designed to […] The post A Comprehensive Guide on Langchain appeared fir

Large Language Models 381

Large Language Models Natural Language Processing NLP Python 381

AI News

JUNE 13, 2024

Apple’s newly-announced partnership with OpenAI – which brings ChatGPT capabilities to iOS 18, iPadOS 18, and macOS Sequoia – comes without any direct money exchange. According to a Bloomberg report by Mark Gurman, “Apple isn’t paying OpenAI as part of the partnership.” Instead, the Cupertino-based company is leveraging its massive user base and device ecosystem as currency. “Apple believes pushing OpenAI’s brand and technology to hundreds of millions of its d

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Analytics Vidhya

JUNE 13, 2024

Introduction Imagine a world where your morning alarm adjusts to traffic conditions, your coffee brews to your exact preference before you even get out of bed, and your commute is planned with the perfect balance of speed and scenic detours. This sci-fi dream is becoming a reality thanks to Artificial Intelligence. AI is here to […] The post 25 Ways AI Can Make Your Daily Life Easy appeared first on Analytics Vidhya.

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IBM Journey to AI blog

JUNE 13, 2024

With 109 million customers and counting, “uncarrier” T-Mobile is one of the top mobile communications providers in the U.S. The company always puts the customer first, which it achieves by delivering the right experiences and content to the right customers at the right time. But with different sub-brands and business units, T-Mobile’s marketing and content workflows were complex—and often inefficient and disconnected.

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Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI

Analytics Vidhya

JUNE 13, 2024

Introduction This article offers a thorough tutorial on how to delete files in Python using a variety of modules and approaches. It goes over simple techniques like using os.remove() and os.unlink(), more complex techniques like pathlib.Path.unlink() and shutil.rmtree() for directories, and safer options like send2trash for putting files in the recycling bin.

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Python 306

Analytics Vidhya

JUNE 13, 2024

Introduction With the advancements in Artificial Intelligence, developing and deploying large language model (LLM) applications has become increasingly complex and demanding. To address these challenges, let’s explore LangSmith. LangSmith is a new cutting-edge DevOps platform designed to develop, collaborate, test, deploy, and monitor LLM applications.

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Unite.AI

JUNE 13, 2024

In the past decade, along with the explosive growth of information technology, the dark reality of cybersecurity threats has also evolved dramatically. Cyberattacks, once driven primarily by mischievous hackers seeking notoriety or financial gain, have become far more sophisticated and targeted. From state-sponsored espionage to corporate and identity theft, the motives behind cybercrime are increasingly sinister and dangerous.

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Analytics Vidhya

JUNE 13, 2024

Introduction When working with databases and analyzing data, ranking records is very important for organizing information based on certain conditions. One ranking function called `DENSE_RANK()` is useful because it assigns ranks to rows without leaving any empty spaces or gaps. This guide explains what `DENSE_RANK()` is, how it operates, and when to use it effectively […] The post Understanding DENSE_RANK in SQL appeared first on Analytics Vidhya.

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Explainability 306

IBM Journey to AI blog

JUNE 13, 2024

Microcontroller units (MCUs) and microprocessor units (MPUs) are two kinds of integrated circuits that, while similar in certain ways, are very different in many others. Replacing antiquated multi-component central processing units (CPUs) with separate logic units, these single-chip processors are both extremely valuable in the continued development of computing technology.

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Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

AI

Analytics Vidhya

JUNE 13, 2024

Introduction For efficient file handling, data processing, and string manipulation in Python, mastering line breaks is a must. You can read and write files, handle data with ease, and format text output by knowing how to control and modify line breaks. This thorough tutorial covers print statements, file operations, string manipulation, and data handling situations […] The post How to Line Break in Python?

Python 306

Python 306

Unite.AI

JUNE 13, 2024

In the domain of Artificial Intelligence (AI) , workflows are essential, connecting various tasks from initial data preprocessing to the final stages of model deployment. These structured processes are necessary for developing robust and effective AI systems. Across fields such as Natural Language Processing (NLP) , computer vision , and recommendation systems , AI workflows power important applications like chatbots, sentiment analysis , image recognition, and personalized content delivery.

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Natural Language Processing Robotics AI AI 147

Analytics Vidhya

JUNE 13, 2024

Introduction Google’s NotebookLM, an experimental AI-driven notebook, is designed to transform the way we interact with and utilize LLMs. Leveraging advanced language models, NotebookLM aims to help users extract valuable insights from their existing content, providing a virtual research assistant that can summarize facts, explain complex ideas, and generate new connections based on selected sources. […] The post All About Google’s NotebookLM appeared first on Analytics Vidhya.

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Explainability Large Language Models AI AI 306

databricks

JUNE 13, 2024

We are excited to announce that we are open sourcing Unity Catalog, the industry’s first open source catalog for data and AI governance.

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AI AI 145

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

AI

Analytics Vidhya

JUNE 13, 2024

Introduction Let’s say you have a list of items like a shopping list. The ROW_NUMBER function is similar to appending numbers to the list for each item in the order you jotted them down. This means you can refer to individual entries by their digit instead of going through them again. In SQL, you work […] The post ROW_NUMBER() Function in SQL appeared first on Analytics Vidhya.

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databricks

JUNE 13, 2024

Today, we are excited to announce Databricks LakeFlow, a new solution that contains everything you need to build and operate production data pipelines.

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Analytics Vidhya

JUNE 13, 2024

Introduction One of the toughest things about making powerful models in machine learning is fiddling with many levels. Hyperparameter optimization—adjusting those settings to end up with something that’s not horrible—might be the most important part of it all. In this blog post, complete with code snippets, we’ll cover what this means and how to do […] The post Hyperparameter Optimization in Machine Learning Models appeared first on Analytics Vidhya.

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Machine Learning Python 305

Artificial Lawyer

JUNE 13, 2024

Thomson Reuters (TR) has confirmed that the AI-Assisted Research tool that Stanford HAI tested for accuracy ‘leverages innovation in Casetext’. This matters because TR paid.

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AI AI 130

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

Unite.AI

JUNE 13, 2024

Bryon Jacob is the CTO and co-founder of data.world – on a mission to build the world's most meaningful, collaborative, and abundant data resource. Prior to data.world, he spent ten years in roles of increasing responsibility at HomeAway.com , culminating in a VP of Tech / Technical fellow role. Bryon has also previously worked at Amazon, and is a long-time mentor at Capital Factory.

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Explainability Data Integration Metadata Generative AI 130

Marktechpost

JUNE 13, 2024

The paper “ A Survey of Pipeline Tools for Data Engineering ” thoroughly examines various pipeline tools and frameworks used in data engineering. Let’s look into these tools’ different categories, functionalities, and applications in data engineering tasks. Introduction to Data Engineering Data Engineering Challenges: Data engineering involves obtaining, organizing, understanding, extracting, and formatting data for analysis, a tedious and time-consuming task.

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Unite.AI

JUNE 13, 2024

As the capabilities of large language models (LLMs) continue to expand, developing robust AI systems that leverage their potential has become increasingly complex. Conventional approaches often involve intricate prompting techniques, data generation for fine-tuning, and manual guidance to ensure adherence to domain-specific constraints. However, this process can be tedious, error-prone, and heavily reliant on human intervention.

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Extreme Tech

JUNE 13, 2024

NASA is determining what impacts this might have on the mission, but it currently believes Starliner can return to Earth.

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Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Marktechpost

JUNE 13, 2024

Artificial intelligence (AI) is experiencing a paradigm shift, with breakthroughs driven by systems orchestrating multiple large language models (LLMs) and other complex components. This progression has highlighted the need for effective optimization methods for these compound AI systems, where automatic differentiation comes into play. Automatic differentiation has revolutionized the training of neural networks, and now researchers seek to apply similar principles to optimize more complex AI sy

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Large Language Models Neural Network Automation LLM 124

Artificial Lawyer

JUNE 13, 2024

The world of legal genAI has had an unmet need – how do you handle M&A due diligence, which can involve tons of lengthy documents?

AI 122

AI AI 122

Towards AI

JUNE 13, 2024

Last Updated on June 13, 2024 by Editorial Team Author(s): Harsh Maheshwari Originally published on Towards AI. Delve deeper into RoPE along with its code to understand the positional embedding in LLMs betterPhoto by Agence Olloweb on Unsplash Positional embedding plays a crucial role in transformer models by helping them distinguish the order of tokens in a sequence/sentence.

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AI AI Machine Learning 122

Marktechpost

JUNE 13, 2024

Luma has introduced Dream Machine , an innovative AI model designed to create high-quality, realistic, fantastical videos from text instructions and images. Built on a scalable, efficient, and multimodal transformer architecture, Dream Machine represents a significant leap in AI technology, specifically tailored for video generation. This groundbreaking model, now available to everyone for free at Luma Labs , has been trained directly on videos, producing physically accurate, consistent, and act

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Extreme Tech

JUNE 13, 2024

Flow Computing is designing a parallel processing unit (PPU) to offload work from the CPU.

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Marktechpost

JUNE 13, 2024

Transformer-based generative Large Language Models (LLMs) have shown considerable strength in a broad range of Natural Language Processing (NLP) tasks. Numerous applications benefit from its wide applicability; however, for most developers, the expense of training and implementing these models is frequently prohibitive. For this, top AI firms like OpenAI, Google, and Baidu offer a language model-as-a-service (LMaaS) by granting access to their LLMs through APIs.

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Extreme Tech

JUNE 13, 2024

The metal doesn't just turn the water highly acidic—it also colors it bright orange, making them visible from space.

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