Thu.Jun 13, 2024

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A Comprehensive Guide on Langchain

Analytics Vidhya

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

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T-Mobile unlocks marketing efficiency with Adobe Workfront

IBM Journey to AI blog

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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How to Delete a File in Python?

Analytics Vidhya

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 301
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AI News Weekly - Issue #389: Apple stock surges to record high after AI announcements - Jun 13th 2024

AI Weekly

Powered by incogni.com In the News Apple stock surges to record high after AI announcements Apple's stock (AAPL) surged 7% on Tuesday to reach a record-high close for the first time in 2024 as investors digested the announcement of its AI platform, Apple Intelligence. yahoo.com Sponsor Keep Your Private Data Off The Dark Web Spam, scams and fraud start with your personal data being sold.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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Debugging And Testing LLMs in LangSmith

Analytics Vidhya

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 301

More Trending

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25 Ways AI Can Make Your Daily Life Easy

Analytics Vidhya

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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Apple is reportedly getting free ChatGPT access

AI News

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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Understanding DENSE_RANK in SQL

Analytics Vidhya

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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Optimizing AI Workflows: Leveraging Multi-Agent Systems for Efficient Task Execution

Unite.AI

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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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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How to Line Break in Python?

Analytics Vidhya

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 301
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Optimize LLM with DSPy : A Step-by-Step Guide to build, optimize, and evaluate AI systems

Unite.AI

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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All About Google’s NotebookLM

Analytics Vidhya

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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A Comprehensive Overview of Data Engineering Pipeline Tools

Marktechpost

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 130
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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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ROW_NUMBER() Function in SQL

Analytics Vidhya

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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Researchers at Stanford Introduce TEXTGRAD: A Powerful AI Framework Performing Automatic “Differentiation” via Text

Marktechpost

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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Hyperparameter Optimization in Machine Learning Models

Analytics Vidhya

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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Luma Releases Dream Machine: Transforming Video Creation with AI-Generated High-Quality, Realistic, and Fantastical Scenes from Text and Images

Marktechpost

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 124
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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Introducing Databricks LakeFlow: A unified, intelligent solution for data engineering

databricks

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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This AI Paper from China Propose ‘Magnus’: Revolutionizing Efficient LLM Serving for LMaaS with Semantic-Based Request Length Prediction

Marktechpost

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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Open Sourcing Unity Catalog

databricks

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 106
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Hamming AI: An AI Startup that Provides Fastest Way to Make Your Prompts, RAG, and AI Agents More Reliable

Marktechpost

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.

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Navigating the Automation Landscape: Selecting Tools That Fit Your Business

Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

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Rotary Positional Embedding(RoPE): Motivation and Implementation

Towards AI

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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ShiftAddLLM: Accelerating Pretrained LLMs through Post-Training Shift-and-Add Reparameterization: Creating Efficient Multiplication-Free Models

Marktechpost

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.

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Boeing Starliner Has Now Sprung 5 Helium Leaks

Extreme Tech

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

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Deepening Safety Alignment in Large Language Models (LLMs)

Marktechpost

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.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

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Thomson Reuters: GenAI Tool Tested By Stanford DID ‘Leverage Casetext’

Artificial Lawyer

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 101
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Transformer-based Model for ASR N-Best Rescoring and Rewriting

Machine Learning Research at Apple

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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Melting Permafrost Is Dumping Toxic Metal Into Alaska's Rivers

Extreme Tech

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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