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 354

Large Language Models Natural Language Processing NLP Python 354

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.

Generative AI 223

Generative AI Automation AI AI 223

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.

Python 297

Python 297

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.

AI Automation 195

AI Automation Automation AI AI 195

Speaker: Jay Allardyce

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.

Business Intelligence

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.

DevOps 293

DevOps Large Language Models LLM Artificial Intelligence 293

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.

Explainability 282

Explainability 282

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

ChatGPT 183

ChatGPT OpenAI Big Data Chatbots 183

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.

Artificial Intelligence 278

Artificial Intelligence Artificial Intelligence AI AI 278

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.

Natural Language Processing 147

Natural Language Processing Robotics AI AI 147

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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 277

Python 277

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.

LLM 130

LLM AI AI Large Language Models 130

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.

Explainability 276

Explainability Large Language Models AI AI 276

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.

ETL 128

ETL Machine Learning Data Ingestion Big Data 128

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative 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.

Machine Learning 267

Machine Learning Python 267

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

Large Language Models 125

Large Language Models Neural Network Automation LLM 125

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

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.

AI 107

AI AI 107

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

AI 123

AI AI AI Modeling Artificial Intelligence 123

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.

AI 111

AI AI 111

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.

LLM 122

LLM Natural Language Processing Large Language Models NLP 122

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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.

AI 86

AI AI Machine Learning 86

Marktechpost

JUNE 13, 2024

It is challenging to implement RAG and AI agents effectively in multiple steps. The output of an LLM can be drastically altered by tweaking just a few parameters, such as the definition of a function call or the retrieval parameters. When you write prompts by hand, you have to do a lot of trial and error to get them to work well. Not to mention that updated models frequently render old prompts inoperable.

Large Language Models 122

Large Language Models Prompt Engineering Prompt Engineer AI 122

Machine Learning Research at Apple

JUNE 13, 2024

Voice assistants increasingly use on-device Automatic Speech Recognition (ASR) to ensure speed and privacy. However, due to resource constraints on the device, queries pertaining to complex information domains often require further processing by a search engine. For such applications, we propose a novel Transformer based model capable of rescoring and rewriting, by exploring full context of the N-best hypotheses in parallel.

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Marktechpost

JUNE 13, 2024

Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results in high memory demands and latency bottlenecks, hindering their practical application in real-world scenarios. For instance, models like GPT-3 require immense computational resources, making them unsuitable for many edge and cloud environments.

Large Language Models 108

Large Language Models Automation LLM ML 108

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

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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Marktechpost

JUNE 13, 2024

Artificial Intelligence (AI) alignment strategies are critical in ensuring the safety of Large Language Models (LLMs). These techniques often combine preference-based optimization techniques like Direct Preference Optimisation (DPO) and Reinforcement Learning with Human Feedback (RLHF) with supervised fine-tuning (SFT). By modifying the models to avoid interacting with hazardous inputs, these strategies seek to reduce the likelihood of producing damaging material.

Large Language Models 102

Large Language Models LLM Artificial Intelligence Artificial Intelligence 102

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 98

AI AI 98