Towards AI

MARCH 21, 2023

We’ll look into practical examples in industries such as healthcare, finance, and supply chain management. Content: Rule-Based Systems ML-Based Systems Hybrid Systems Practical Cases Personal Experience Conclusions Rule-based systems A rule-based system is a set of predefined rules to make decisions or provide recommendations.

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Pickl AI

APRIL 25, 2023

All of these subsets are not exclusive categories but are often useful when in combination. Apparently, Machine Learning has been able to solve complex business problems in the areas of finance, healthcare, manufacturing, and logistics. Consequently, ML algorithms can be further divided into two categories, supervised and unsupervised.

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Mlearning.ai

AUGUST 1, 2023

In a world which is more and more data-driven, let’s see how synthetic data could exceed the limits encountered today and allow artificial intelligence to enter a new aera. The Advantages of Synthetic Data How can we evaluate the quality of Synthetic Data? There is no limit of quantity and they are built with respect of privacy.

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O'Reilly Media

NOVEMBER 29, 2022

Even when catastrophes don’t kill large numbers of people, they often change how we think and behave. The Johnstown Flood, the sinking of the Titanic, the explosion of the Hindenburg, the flawed response to Hurricane Katrina–each had a lasting impact. The Three Mile Island accident led to safety improvements across the nuclear power industry.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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Mlearning.ai

JUNE 22, 2023

In this article, we will delve into the three broad categories of transformer models based on their training methodologies: GPT-like (auto-regressive), BERT-like (auto-encoding), and BART/T5-like (sequence-to-sequence). Ultimately, understanding the differences in these models and then leveraging them for your personal needs is a must.

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John Snow Labs

JUNE 27, 2023

Ever wondered how machines can understand and generate human-like text? Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress.

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AI Weekly

APRIL 4, 2024

artificialintelligence-news.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation, personalized customer experiences and streamlined operations. We explore how AI can transform roles and boost performance across business functions, customer operations and software development.

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Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? How can you be certain that you possess the skills necessary for a smooth and fruitful career while avoiding spending more time and effort than necessary? Exploration vs Exploitation ?

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Unite.AI

SEPTEMBER 14, 2023

In this article, we'll provide a brief overview of how blockchain can be integrated with AI, a concept that might be coined as “decentralized AI” Let's dive in. AI and Blockchain have emerged as two of the most groundbreaking technical innovations in recent times.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

Content moderation also assumes critical importance in the finance and healthcare sectors, where it serves multiple functions. It plays an important role in identifying and safeguarding sensitive personal identifiable and health information (PII, PHI). This results in a poor user experience, high moderation costs, and brand risk.

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IBM Journey to AI blog

JANUARY 10, 2024

In this article, we’ll discuss how AI technology functions and lay out the advantages and disadvantages of artificial intelligence as they compare to traditional computing methods. What is artificial intelligence and how does it work? For example, learning, reasoning, problem-solving, perception, language understanding and more.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. In the public sector, Transport for London provides free and open data across 80 data feeds powering over 600 apps and contribute up to £130m to London’s economy.

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Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. If you’re short on time, we’ll cut right to the chase here. We think the best datasets are available for free on Roboflow. After you create a free account, you’ll have access to the best machine learning datasets. Many call this software 2.0.

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AWS Machine Learning Blog

AUGUST 11, 2023

In this post, we show how you can perform zero-shot classification using pre-trained models in SageMaker Jumpstart. You will learn how to use the SageMaker Jumpstart UI and SageMaker Python SDK to deploy the solution and run inference using the available models.

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Topbots

MARCH 18, 2024

As we delve into the popular use cases for the custom GPTs, we uncover the breadth and depth of their impact across different sectors, showcasing their potential to further revolutionize how we engage with artificial intelligence in our daily lives and professional activities.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful.

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Viso.ai

FEBRUARY 21, 2024

GNNs have revolutionized how we analyze and utilize data that are structured in the form of a graph. Here is what the GNN does: Node-level prediction: Predicting the category of a node (e.g. Does this person eat a burger (predicting based on the kind of friends the person has, or activities the person does).

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Topbots

SEPTEMBER 11, 2023

In this article, I introduce the mental model, while future articles will demonstrate how to apply it to specific AI products and features. It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members. Why is it so difficult to integrate AI?

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AWS Machine Learning Blog

MAY 15, 2023

Getir relies heavily on accurate demand forecasts at a SKU level when making business decisions in a wide range of areas, including marketing, production, inventory, and finance. In this post, we describe how we used Forecast to achieve these benefits. The following diagram shows the solution’s architecture.

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Mlearning.ai

MAY 21, 2023

It has revolutionized various industries, including healthcare, finance, marketing, and more. Working video of our App [link] How to run Healthcure App [link] 3. These projects also enable you to grasp the practical aspects of solving real-world problems using machine-learning techniques. It is going to be a very interesting project.

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Mlearning.ai

SEPTEMBER 4, 2023

It promises corporate data “will not be used to train models by default,” perhaps easing privacy concerns from leaking proprietary business strategies, intellectual property, and personal user data to third parties. “Take” “Take” refers to the traditional software-as-a-service (SaaS) model where you use the software “as is” off-the-shelf.

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ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. In this article, I briefly discuss the various phases of IDP and how generative AI is being utilized to augment existing IDP workloads or develop new IDP workloads.

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ODSC - Open Data Science

FEBRUARY 9, 2024

Source ) Venture capitalists from Kleiner Perkins spoke about how AI has become a central issue in funding pitches ( Source ) Google DeepMind has released a paper on a new method of training neural networks to learn new tasks with limited data. . Source ) Interested in receiving this in a newsletter format every Friday?

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Defined.ai blog

SEPTEMBER 14, 2022

Of course, this is a simplified example of how AI learns. In practice, machine learning models need large volumes of correctly annotated data to learn how to perform a task – which can prove to be a challenge in practice. Primarily, data around us is classified into two categories: structured and unstructured data.

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AWS Machine Learning Blog

MAY 17, 2023

To address this, we show you how to easily prepare and train a best-in-class ML classification model on this problem. For steps to create a Snowflake account, refer to How to: Create a Snowflake Free Trial Account The Snowflake CLI. During drilling, wireline logs are obtained, which have depth-dependent geologic information.

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The MLOps Blog

OCTOBER 20, 2023

How can we make sure this model outperforms the previous one? How has this AB test performed? Nevertheless, many data scientists will agree that they can be really valuable – if used well. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. These tools gained significant adoption among researchers.

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Unite.AI

DECEMBER 22, 2023

Increased Efficiency: Semantic layers streamline the process of data analysis, reducing the time and technical know-how required to derive insights. In the realm of big data , the ability to efficiently manage, interpret, and leverage vast amounts of diverse information is crucial.

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TheSequence

AUGUST 30, 2023

Your background, current role and how did you get started in AI?   ChatGPT in many ways opened people’s imagination and willingness to explore AI for their personal and business needs. How do you differentiate potentially disruptive companies from mere features of other products powered by generative AI?

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Topbots

APRIL 28, 2023

Note: These experiments aim not to measure how creative the models are, but rather to measure the level of creative process present in the model generations. Rather, I aim to show how the models respond to particular measures of creative processes. I use both a subjective and objective lens to understand the behavior of these models.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. In time, powerful personal computers with intuitive no-code interfaces became ubiquitous.

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