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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professionals

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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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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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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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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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Dont Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

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!

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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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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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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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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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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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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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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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Researchers at UC Berkeley Propose a Neural Diffusion Model that Operates on Syntax Trees for Program Synthesis

Marktechpost

Large language models (LLMs) have revolutionized code generation, but their autoregressive nature poses a significant challenge. These models generate code token by token, without access to the program’s runtime output from the previously generated tokens. This lack of a feedback loop, where the model can observe the program’s output and adjust accordingly, makes it difficult to correct errors.

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The New Frontier: A Guide to Monetizing AI Offerings

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.

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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.