Sat.Jun 01, 2024 - Fri.Jun 07, 2024

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Want to launch an AI startup? Stop. Continue. Keep doing

Unite.AI

Some time ago, just mentioning the term “AI” would lead your idea to be associated with massive breakthroughs and a frenzy of excitement. However, things have changed. In addition to the drying up of venture funding, a wave of disappointment has swept through the industry as numerous companies found themselves unable to fulfill the grandiose promises and expectations that once fueled their ambitions For those who have tangible projects — combining both a solid tech value proposition and a viabl

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AI pioneers turn whistleblowers and demand safeguards

AI News

OpenAI is facing a wave of internal strife and external criticism over its practices and the potential risks posed by its technology. In May, several high-profile employees departed from the company, including Jan Leike, the former head of OpenAI’s “super alignment” efforts to ensure advanced AI systems remain aligned with human values.

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The AI Mind Unveiled: How Anthropic is Demystifying the Inner Workings of LLMs

Unite.AI

In a world where AI seems to work like magic, Anthropic has made significant strides in deciphering the inner workings of Large Language Models (LLMs). By examining the ‘brain' of their LLM, Claude Sonnet, they are uncovering how these models think. This article explores Anthropic's innovative approach, revealing what they have discovered about Claude’s inner working, the advantages and drawbacks of these findings, and the broader impact on the future of AI.

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Different Usage of Python map() Function

Analytics Vidhya

Introduction In this article, we will delve into the map function in Python, a powerful tool for applying functions to iterable data structures. We’ll start with its basic usage and syntax, followed by using lambda functions for concise operations. Next, we’ll explore how to apply functions to multiple iterables simultaneously, handle different length iterables, and […] The post Different Usage of Python map() Function appeared first on Analytics Vidhya.

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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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AI News Weekly - Issue #388: What OpenAI and DeepMind Are Hiding from You – Exclusive Inside Scoop - Jun 6th 2024

AI Weekly

Powered by pitneybowes.com In the News Employees Say OpenAI and Google DeepMind Are Hiding Dangers From the Public A group of current and former employees at leading AI companies OpenAI and Google DeepMind published a letter on Tuesday warning against the dangers of advanced AI as they allege companies are prioritizing financial gains while avoiding oversight. time.com Sponsor WEBINAR: Shipping in the Goldilocks zone Shipping has always been complicated – but the way we work today makes it harde

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Streamlining digital commerce: Integrating IBM API Connect with ONDC 

IBM Journey to AI blog

In the dynamic landscape of digital commerce, seamless integration and efficient communication drive the success of buyers, sellers and logistics providers. The Open Network for Digital Commerce (ONDC) platform stands as a revolutionary initiative to streamline the digital commerce ecosystem in India. When coupled with the robust capabilities of IBM API Connect®, this integration presents a game-changing opportunity for buyers, sellers and logistics partners to thrive in the digital marketp

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Building RAG Application using Cohere Command-R and Rerank – Part 2

Analytics Vidhya

Introduction In the previous article, we experimented with Cohere’s Command-R model and Rerank model to generate responses and rerank doc sources. We have implemented a simple RAG pipeline using them to generate responses to user’s questions on ingested documents. However, what we have implemented is very simple and unsuitable for the general user, as it […] The post Building RAG Application using Cohere Command-R and Rerank – Part 2 appeared first on Analytics Vidhya.

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Is the Risk of AI Worth the Reward?

Unite.AI

When I reflect on the fictional content I have encountered involving AI, I would estimate it to be over 90% dystopian. Ironically, because large language models are trained on content from the internet, they are not just biased towards problematic aspects of society, but even themselves. The concept of self-loathing AI is humorous and brings to mind Marvin from Hitchhiker’s Guide to the Galaxy.

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Amazon will use computer vision to spot defects before dispatch

AI News

Amazon will harness computer vision and AI to ensure customers receive products in pristine condition and further its sustainability efforts. The initiative – dubbed “Project P.I.” (short for “private investigator”) – operates within Amazon fulfilment centres across North America, where it will scan millions of products daily for defects.

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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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Newsletter #39: Build With AssemblyAI's Integrations

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Build With AssemblyAI's Integrations Make the most of your audio data by using AssemblyAI with top platforms and tools. Discover our wide range of  integrations  to improve your speech AI workflows with these use cases: LangChain : Develop applications that analyze and understand audio dialogues using AssemblyAI’s speech-to-text

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What is CONTAINS in SQL?

Analytics Vidhya

Introduction In SQL and database management, efficiently querying and retrieving data is paramount. Among the various tools and functions available, the CONTAINS function stands out for its capability to perform full-text searches within text columns. Unlike basic string functions, CONTAINS enables complex queries and patterns, making it a powerful asset for developers and database administrators. […] The post What is CONTAINS in SQL?

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Neal Hansch, CEO & Managing Partner of Silicon Foundry – Interview Series

Unite.AI

Neal Hansch is the CEO and Managing Partner of Silicon Foundry , a Kearney company, where he leverages over 25 years of venture capital, product management, technology operations, corporate development, and trusted advisory experience to lead the firm. Prior to joining Silicon Foundry, Neal was Managing Director of the emerging markets technology training, investment, and incubation program at the Meltwater Entrepreneurial School of Technology (MEST), where he managed a global team of 150+ prof

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How Do You Measure Student Success in Robotics?

Aiiot Talk

Learning about robotics can be a rewarding yet challenging experience. The field is ever-evolving and there’s always something new to pickup. As with any discipline, students need to track how far they’ve come, establish benchmarks and measure progress. It’s the only way they can master the skills required to design, build and program robots. Here’s how to go about it.

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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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‘Accelerate Everything,’ NVIDIA CEO Says Ahead of COMPUTEX

NVIDIA

“Generative AI is reshaping industries and opening new opportunities for innovation and growth,” NVIDIA founder and CEO Jensen Huang said in an address ahead of this week’s COMPUTEX technology conference in Taipei. “Today, we’re at the cusp of a major shift in computing,” Huang told the audience, clad in his trademark black leather jacket. “The intersection of AI and accelerated computing is set to redefine the future.

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Tutorial for Package Management Using pip Python

Analytics Vidhya

Introduction Imagine you’re building a house. You need various tools and materials, right? Python programming works similarly. You’ll often need additional tools beyond the ones with Python by default. These tools come in the form of packages. This is where pip comes in. pip acts as your friendly neighborhood hardware store for Python. It helps […] The post Tutorial for Package Management Using pip Python appeared first on Analytics Vidhya.

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AI Agents Can Change the Business Dynamics in B2B ecommerce

Unite.AI

There’s a reason why today AI is all you hear about. We’ve experienced more AI innovation in the last 18 months than ever before. AI has exited the lab overnight and turned into a viable business driver. One industry that stands to win big is B2B eCommerce. In fact, B2B eCommerce could use the technological boost to take the industry to the next level.

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Message-Passing Monte Carlo (MPMC): A New State-of-the-Art Machine Learning Model that Generates Low-Discrepancy Points

Marktechpost

Monte Carlo (MC) methods rely on repeated random sampling, so they are widely utilized for simulating and approximating complicated real-world systems. These techniques work especially well for financial mathematics, numerical integration, and optimization issues, particularly those about risk and derivative pricing. However, for complex issues in Monte Carlo, an unfeasibly large number of samples are required to obtain high precision.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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SAP and NVIDIA Create AI for ‘The Most Valuable Language,’ CEOs Unveil at Sapphire Orlando

NVIDIA

German enterprise cloud leader SAP is harnessing generative AI and industrial digital twins in the development of next-generation enterprise applications for its customers. At SAP’s Sapphire event today, in Orlando, Florida, NVIDIA and the enterprise software company unveiled generative AI efforts featuring NVIDIA AI Enterprise software to offer two new capabilities for Joule , SAP’s generative AI copilot — SAP Consulting capabilities and ABAP Developer capabilities.

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Implementation of Depth First Search (DFS) Algorithm in Python

Analytics Vidhya

Introduction In depth-first search (DFS), all nodes are explored along some branch and backtracked. Think of it as being in a maze: DFS goes down one path until it reaches a dead-end before retracing its steps to take another, right? It is the same as going down, validating the tunnel, and so on for all […] The post Implementation of Depth First Search (DFS) Algorithm in Python appeared first on Analytics Vidhya.

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NVIDIA Unveils Rubin Platform: The Next-Gen AI Chip

Unite.AI

In yet another big announcement at the Computex Conference in Taipei, NVIDIA CEO Jensen Huang unveiled more of the company's plans for the future of AI computing. The spotlight shone on the Rubin AI chip platform, set to launch in 2026, and the Blackwell Ultra chip, slated for 2025. The Rubin Platform As the successor to the highly anticipated Blackwell architecture, which is expected to ship later in 2024, the Rubin Platform represents a leap forward in NVIDIA's AI computing capabilities.

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Beyond the Reference Model: SimPO Unlocks Efficient and Scalable RLHF for Large Language Models

Marktechpost

Artificial intelligence is continually evolving, focusing on optimizing algorithms to improve the performance and efficiency of large language models (LLMs). Reinforcement learning from human feedback (RLHF) is a significant area within this field, aiming to align AI models with human values and intentions to ensure they are helpful, honest, and safe.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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‘Create a Data Flywheel With AI,’ NVIDIA CEO Jensen Huang Tells Attendees at Snowflake Summit

NVIDIA

AI gives every company an opportunity to turn its processes into a data flywheel, NVIDIA founder and CEO Jensen Huang told thousands of attendees Monday at the Snowflake Data Cloud Summit. Companies need to “take all the most important processes they do, capture them in a data flywheel and turn that into the company’s AI to drive that flywheel even further,” said Huang, joining from Taipei a virtual fireside chat with Snowflake CEO Sridhar Ramaswamy in San Francisco.

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Palindrome Number in Python

Analytics Vidhya

Introduction Palindrome numbers those numbers that are same both as forward and backward. Because of this unique fact, it is an intriguing subject in mathematics. Their distinct qualities have captivated mathematicians, programmers, and educators alike. This article examines several approaches to Python palindrome number checking, from basic text manipulation to more complex recursive algorithms.

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Are RAGs the Solution to AI Hallucinations?

Unite.AI

AI, by design, has a “mind of its own.” One drawback of this is that Generative AI models will occasionally fabricate information in a phenomenon called “AI Hallucinations,” one of the earliest examples of which came into the spotlight when a New York judge reprimanded lawyers for using a ChatGPT-penned legal brief that referenced non-existent court cases.

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Are AI-RAG Solutions Really Hallucination-Free? Researchers at Stanford University Assess the Reliability of AI in Legal Research: Hallucinations and Accuracy Challenges

Marktechpost

AI legal research and document drafting tools promise to enhance efficiency and accuracy in performing complex legal tasks. However, these tools need help with their reliability in producing accurate legal information. Lawyers increasingly use AI to augment their practice, from drafting contracts to analyzing discovery productions and conducting legal research.

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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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Databricks + Tabular

databricks

We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks.

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A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens

Analytics Vidhya

Introduction Building and optimizing Retrieval-Augmented Generation (RAG) pipelines has been a rewarding experience. Combining retrieval mechanisms with language models to create contextually aware responses is fascinating. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.

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Thinking Outside of the Box to Drive AI Innovation

Unite.AI

For many of us innovating in the AI space, we are working in uncharted territory. Given how quickly AI companies are developing new technologies, one might take for granted the dogged work behind the scenes. But in a field like XR, where the mission is to blur the lines between the real and digital worlds — there is currently not a lot of historical data or research to lean on; so we need to think outside the box.