Unite.AI

JUNE 5, 2024

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 News

JUNE 6, 2024

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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Unite.AI

JUNE 4, 2024

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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Analytics Vidhya

JUNE 5, 2024

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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Python 269

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:

AI

AI Weekly

JUNE 6, 2024

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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IBM Journey to AI blog

JUNE 3, 2024

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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Analytics Vidhya

JUNE 2, 2024

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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Unite.AI

JUNE 7, 2024

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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AI News

JUNE 4, 2024

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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Generative AI

AssemblyAI

JUNE 7, 2024

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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Analytics Vidhya

JUNE 5, 2024

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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Unite.AI

JUNE 7, 2024

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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Aiiot Talk

JUNE 7, 2024

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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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.

Automation

NVIDIA

JUNE 2, 2024

“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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Analytics Vidhya

JUNE 3, 2024

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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Unite.AI

JUNE 4, 2024

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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Marktechpost

JUNE 7, 2024

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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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

Generative AI

NVIDIA

JUNE 4, 2024

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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Analytics Vidhya

JUNE 1, 2024

Introduction LlamaIndex is a popular framework for building LLM applications. To build a robust application, we need to know how to count the embedding tokens before making them, ensure there are no duplicates in the vector store, get source data for the generated response, and many other things. This article will review the steps to […] The post How to Build a Resilient Application Using LlamaIndex?

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Unite.AI

JUNE 3, 2024

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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Marktechpost

JUNE 7, 2024

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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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.

NVIDIA

JUNE 3, 2024

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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Analytics Vidhya

JUNE 6, 2024

Introduction Large Language Models are known for their text-generation capabilities. They are trained with millions of tokens during the pre-training period. This will help the large language models understand English text and generate meaningful full tokens during the generation period. One of the other common tasks in Natural Language Processing is the Sequence Classification Task. […] The post How to Finetune Llama 3 for Sequence Classification?

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Unite.AI

JUNE 6, 2024

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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Marktechpost

JUNE 3, 2024

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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Generative AI

databricks

JUNE 3, 2024

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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Analytics Vidhya

JUNE 5, 2024

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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Python 288

Unite.AI

JUNE 3, 2024

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.

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