Sat.Sep 30, 2023 - Fri.Oct 06, 2023

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Mastering Transfer Learning: A Rock-Paper-Scissors Case Study

Analytics Vidhya

Introduction In the world of artificial intelligence, imagine a learning technique that enables machines to build upon their existing knowledge and tackle new challenges with expertise. This unique technique is called transfer learning. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models. We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vi

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Embracing the Inevitable: The Era of AI-First Companies

Unite.AI

The Age of AI is not just approaching, it's already here. This was the topic of discussion during an expert panel and fireside chat I recently hosted that brought together an impressive mix of C-suite technology executives from Fortune 500 firms and leaders from emerging, enterprise-ready AI infrastructure startups. The evening focused on engaging discussions about AI's influence across industries—how it's honing data-driven decision-making, enhancing operational efficiency, and enriching custom

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How to create a digital marketing strategy with AI

AI News

In today’s fast-paced digital landscape, staying ahead of the competition requires more than just a traditional marketing plan. The emergence of artificial intelligence (AI) has revolutionized the way businesses approach their marketing efforts and AI technology is now a fundamental component of modern marketing, offering unparalleled insights, predictive analytics, and the ability to deliver personalized customer experiences.

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Common Grounds: Unleashing innovation and growth through partnership

IBM Journey to AI blog

At IBM, we believe we can make greater progress together. Our purpose is to be the catalyst that makes the world work better—and our partners are key to this mission. Together with our partners and clients, we work to solve the most complex challenges with AI and hybrid cloud. Last year, we launched our “ Common Grounds ” video series to showcase the value of partnership and how we’re better together.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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How to Use Midjourney AI?

Analytics Vidhya

Introduction The allure of image-generating AI has surged. With the ability to give life to any type of imagination, AI has gained popularity among business people as well as in education. One such AI wizardry is exhibited by Midjourney AI. It translates text prompts into captivating AI-generated images. Here is a tutorial guiding you to […] The post How to Use Midjourney AI?

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OpenAI considers in-house chip manufacturing amid global shortage

AI News

OpenAI , the company behind the renowned ChatGPT, is reportedly delving into the prospect of manufacturing processing chips in-house amidst a worldwide shortage of these in-demand components. Sources familiar with the matter disclosed to Reuters that OpenAI is actively exploring options, including evaluating an undisclosed company for potential acquisition to bolster its AI chip-making ambitions.

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IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

IBM Journey to AI blog

If you play fantasy football, you are no stranger to data-driven decision-making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory. But numbers only tell half the story. For the past seven years, ESPN has worked closely with IBM to help tell the whole tale.

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Introduction to HNSW: Hierarchical Navigable Small World

Analytics Vidhya

Introduction AI innovation is happening at breakneck speed. One of the frontiers of this innovation is the vector search engines. What are these search engines, you ask? In simple terms, they help in training large language models (LLMs) by going through large datasets and picking out what’s relevant. Now, there are many different ways in […] The post Introduction to HNSW: Hierarchical Navigable Small World appeared first on Analytics Vidhya.

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Ronald T. Kneusel, Author of “How AI Works: From Sorcery to Science” – Interview Series

Unite.AI

We recently received an advanced copy of the book “How AI Work: From Sorcery to Science” by Ronald T. Kneusel. I've so far read over 60 books on AI, and while some of them do get repetitive, this book managed to offer a fresh perspective, I enjoyed this book enough to add it to my personal list of the Best Machine Learning & AI Books of All Time.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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How information retrieval is being revolutionised with RAG technology

AI News

In an era where digital data proliferates at an unprecedented pace, finding the right information amidst the digital deluge is akin to navigating a complex maze. Traditional enterprise search engines, while powerful, often inundate us with a barrage of results, making it challenging to discern the relevant from the irrelevant. However, amidst this vast expanse of digital information, a revolutionary technology has emerged, promising to transform the way we interact with data in the enterprise.

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Security AI and automation are key in protecting against costly data breaches for retailers and consumer goods businesses

IBM Journey to AI blog

The rise of online commerce over the last two decades has completely transformed the retail and consumer goods industries—and with smartphone adoption accelerating globally, the share of shopping done via the internet will only continue to expand. But this growth in digital sales can come with a hefty price tag for retailers and consumer goods businesses: a much greater risk of data breaches.

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Top 5 Data Analytics Certifications

Analytics Vidhya

Introduction In our era of data supremacy, the ability to decipher the language of numbers and extract meaningful insights has never been more valuable. Data analytics has transcended being just a buzzword; it has become an indispensable tool across industries, steering businesses toward success and innovation. A Data Analytics Certification is your compass to stand […] The post Top 5 Data Analytics Certifications appeared first on Analytics Vidhya.

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A Deep Dive into Retrieval-Augmented Generation in LLM

Unite.AI

Imagine you're an Analyst, and you've got access to a Large Language Model. You're excited about the prospects it brings to your workflow. But then, you ask it about the latest stock prices or the current inflation rate, and it hits you with: “I'm sorry, but I cannot provide real-time or post-cutoff data. My last training data only goes up to January 2022.” Large Language Model, for all their linguistic power, lack the ability to grasp the ‘ now ‘ And in the fast-paced wo

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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AI Bias: Good intentions can lead to nasty results

Cassie Kozyrkov

Why fairness through unawareness is a pretty idea with ugly consequences Continue reading on Towards Data Science »

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Operationalize automation for faster, more efficient incident resolution at a lower cost

IBM Journey to AI blog

IT is under enormous pressure. The expectation is 24/7/365 performance while also delivering increasingly better customer experiences at the lowest possible cost. The reality is that it’s difficult to keep apps performing as designed, especially in modern, cloud-native environments with microservices and Kubernetes. Cloud costs are out of control, and teams spend too much time fixing instead of innovating.

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Building Invoice Extraction Bot using LangChain and LLM

Analytics Vidhya

Introduction Before the large language models era, extracting invoices was a tedious task. For invoice extraction, one has to gather data, build a document search machine learning model, model fine-tuning etc. The introduction of Generative AI took all of us by storm and many things were simplified using the LLM model. The large language model […] The post Building Invoice Extraction Bot using LangChain and LLM appeared first on Analytics Vidhya.

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Energy-Efficient AI: A New Dawn With Neuromorphic Computers

Unite.AI

The rapidly growing realm of artificial intelligence (AI) is renowned for its performance but comes at a substantial energy cost. A novel approach , proposed by two leading scientists at the Max Planck Institute for the Science of Light in Erlangen, Germany, aims to train AI more efficiently, potentially revolutionizing the way AI processes data. Current AI models consume vast amounts of energy during training.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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AI Bias: Good intentions can lead to nasty results

Cassie Kozyrkov

Why fairness through unawareness is a pretty idea with ugly consequences Continue reading on Medium »

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Fertility care provider Ovum Health gives patients information using chat and scheduling tools with IBM watsonx Assistant

IBM Journey to AI blog

As a healthcare activist, a mom to a fertility preservation miracle, a business owner and a cancer survivor, Alice Crisci has dedicated her life to ending the spread of health misinformation. She founded MedAnswers and its telemedicine spinout, Ovum Health , with the hopes of providing increased access to family-building solutions like pre-pregnancy, prenatal and postnatal healthcare.

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Introduction to OpenAI Function Calling

Analytics Vidhya

According to Forbes, the AI market is predicted to reach $1,811.8 billion by 2030. Introducing the OpenAI API models like Davinci, GPT Turbo, GPT Turbo 3.5, or GPT 4 is taking the world of artificial intelligence by storm. The introduction of the OpenAI API models like Davinci, GPT Turbo, GPT Turbo 3.5, or GPT 4 […] The post Introduction to OpenAI Function Calling appeared first on Analytics Vidhya.

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Arc Browser Unveils The Future of AI-Powered Browsing With “Arc Max”

Unite.AI

The digital age has seen a plethora of technological advancements, and Arc Browser has undoubtedly been at the forefront, setting trends and meeting user needs effectively. This time, the buzz centers around its cutting-edge AI-powered functionalities named “ Arc Max ,” designed to amplify user experience. By harnessing the prowess of OpenAI’s GPT-3.5 combined with Anthropic’s sophisticated models, the Browser Company promises a revolutionary shift in how we perceive web browsing.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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OpenAI said to be considering developing its own AI chips

Flipboard

OpenAI, one of the best-funded AI startups in business, is exploring making its own AI chips. Discussions of AI chip strategies within the company have been ongoing since at least last year, according to Reuters, as the shortage of chips to train AI models worsens.

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The U.S. Chamber of Commerce Foundation and IBM explore generative AI’s applications for skills-based hiring

IBM Journey to AI blog

The recent rise of generative artificial intelligence (AI) including large language models (LLMs) has inspired organizations in every industry to consider how AI can drive innovation. Leaders are increasingly recognizing the power of AI as well as its potential limitations and risks. It’s critical that leaders think carefully about how AI is created and applied and take a human-centric, principled approach to each use case.

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Introduction of Microsoft Fabric

Analytics Vidhya

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology. This article will explore the key features and benefits, identify the ideal users for this solution, and guide you on when and how to […] The post Introduction of Microsoft Fabric appeared first on Analytics Vidhya.

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How to Create a ChatGPT Persona for Business Strategy

Unite.AI

In today's digital age, artificial intelligence has become an indispensable tool for various industries, offering unparalleled efficiency, accuracy, and adaptability. One of the AI's shining stars is ChatGPT, a conversational model developed by OpenAI. Its core capability lies in generating human-like text based on the prompts it receives. From casual conversations to in-depth technical explanations, ChatGPT can engage with an array of topics, making it a sought-after resource.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Generative AI Is a Disaster, and Companies Don’t Seem to Really Care

Flipboard

In their push for AI-generated content, tech companies are dancing on the edge between f **g around and finding out. Tech companies continue to insist that AI-generated content is the future as they release more trendy chatbots and image-generating tools.

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Cerebras Introduces the Bittensor Language Model Named BTLM-3B-8K: A New State-of-The-Art 3B Parameter Open-Source Language Model

Marktechpost

Large language models (LLMs) are helpful in various contexts since they can carry out various text-based activities with simple instructions. Applications include content creation, computer programming, and natural language interpretation. LLMs are changing how people interact with and use information because of their capacity to produce meaningful content, respond to inquiries, translate across languages, and summarise lengthy materials.

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Is Python Ray the Fast Lane to Distributed Computing?

Analytics Vidhya

Python Ray is a dynamic framework revolutionizing distributed computing. Developed by UC Berkeley’s RISELab, it simplifies parallel and distributed Python applications. Ray streamlines complex tasks for ML engineers, data scientists, and developers. Its versatility spans data processing, model training, hyperparameter tuning, deployment, and reinforcement learning.

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