What’s the difference between AI vs. ML: Unraveling the Intricacies of Two Revolutionary Concepts
Defining AI vs ML: Unraveling the Intricacies of Two Revolutionary ConceptsArtificial Intelligence (AI) is a term that has been increasingly woven into the fabric of modern life. It is a complicated concept, with a vast array of interpretations and definitions. In...
What Is Deep Learning?
What is Deep Learning?Deep learning (DL) is a subset of machine learning (ML) that primarily focuses on mimicking the human brain’s ability to learn and process information. In the rapidly evolving world of artificial intelligence (AI), deep learning has emerged as a...
Different Types of Machine Learning
Different Types of Machine Learning Machine learning is a rapidly evolving field that has the potential to transform many industries, from healthcare to finance to manufacturing. At the core of machine learning are four main types of learning techniques: supervised...
Common Issues With ChatGPT and How to Mitigate Them
Common Issues With ChatGPT and How to Mitigate Them ChatGPT is a generative ai chatbot that has been trained to engage in human-like conversation with users. This technology has seen a surge in popularity as more and more organizations and individuals seek to leverage...
10 Practical Applications of ChatGPT
ChatGPT is extremely popular at the moment, but much of the discussion is focused on applications that may not be relevant to everyone. The powerful language model developed by OpenAI has the ability to understand and generate human-like responses to a wide range of...
How Generative AI Like Chat GPT Threatens Google Search
How Generative AI Like Chat GPT Threatens Google Search Generative artificial intelligence (AI) has quickly risen in popularity over the last few years. It is incredibly effective at generating human-like text. While this technology is extremely versatile and has many...
What is Generative AI?
What is Generative AI? If you have paid any attention to tech news lately, you’ve almost certainly heard of generative AI, which is a class of artificial intelligence (AI) algorithms that are designed to generate new content such as images, text, music, or some other...
Why Your CEO Needs to Understand AI Before You Start Your Digital Transformation Initiative
Why Your CEO Needs to Understand AI Before You Start Your Digital Transformation Initiative How important is Artificial Intelligence (AI) technology for the digital transformation of your business? Here are some interesting statistics: AI-based digitalization is the...
Tips For Leading a Machine Learning Project
6 Tips For Leading a Machine Learning Project Machine Learning and Deep Learning are no longer just hype and buzzwords. The once frontier technology has evolved into a crucial component of the technology stack of enterprises and startups; this has transformed software...
6 Reasons Why AI Projects Fail
6 Reasons Why AI Projects Fail It seems AI is present everywhere but the reality is that many businesses are experiencing problems in successfully implementing AI. According to the MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report, seven...
10 Things Projects Managers Should Know Before Starting an AI Project
10 Things Projects Managers Should Know Before Starting an AI Project AI and machine learning technologies are transforming the way organizations streamline their business processes and operations. Across industries, companies are realizing the benefits of AI...
9 Ways Companies Use AI for Social Listening
9 Ways Companies Use AI for Social Listening Customer engagement is a key ingredient for the success of any business enterprise. To succeed at marketing, organizations need to align themselves with the voices and expectations of their target audience. That's not all –...
What is Explainable AI?
What is Explainable AI? As deep learning technologies like Artificial Intelligence (AI) and Machine learning (ML) advance, we are being challenged to understand the outputs produced by computer algorithms. For example, how did ML algorithms produce a particular...
What Makes AI Explainable?
What Makes AI Explainable? Artificial intelligence (AI) applications have exploded due to machine learning's success. Future developments should result in autonomous systems that can perceive, learn, make decisions, and act. However, the incapacity of these systems'...
How Healthcare Could Use Explainable AI?
How Healthcare Could Use Explainable AI? Healthcare, finance, insurance, and manufacturing are just a few industries where artificial intelligence (AI) greatly impacts. More complex AI models are being developed to meet the requirements of particular use cases....
What is an Adversarial AI Attack?
What is an Adversarial AI Attack? Deep learning technologies like Artificial Intelligence (AI) and machine learning (ML) present a range of business benefits to enterprises. At the same time, an adversarial AI attack is a growing security challenge for modern systems....
6 Problems AI is Good at Solving
6 Problems AI is Good At Solving Over 85% of data science projects fail to go beyond testing and into production. If everyone is starting a Machine Learning / Artificial Intelligence project, where is it going wrong? With this post it should help you to focus on...
Tutorial: How to pre-train ELECTRA for Spanish from Scratch
Tutorial: How to pre-train ELECTRA for Spanish from Scratch Originally published by Skim AI's Machine Learning Researcher, Chris Tran. Introduction This article is on how pre-train ELECTRA, another member of the Transformer pre-training method family, for Spanish to...
Tutorial: How to Fine-Tune BERT for Named Entity Recognition (NER)
Tutorial: How to Fine-tune BERT for NER Originally published by Skim AI's Machine Learning Researcher, Chris Tran. Introduction This article is on how to fine-tune BERT for Named Entity Recognition (NER). Specifically, how to train a BERT variation, SpanBERTa, for...
Tutorial: How to Fine-Tune BERT for Extractive Summarization
Tutorial: How to Fine-Tune BERT for Extractive Summarization Originally published by Skim AI's Machine Learning Researcher, Chris Tran 1. Introduction Summarization has long been a challenge in Natural Language Processing. To generate a short version of a document...
Named Entity Recognition with Transformers
Named Entity Recognition with Transformers IntroductionPermalink Part I: How We Trained RoBERTa Language Model for Spanish from Scratch In my previous blog post, we discussed how we pretrained SpanBERTa, a transformer language model for Spanish, on a big corpus from...
8 Ways News & Content Companies Use A.I. to Save Money & Improve UX
8 Ways News & Content Companies use A.I. to Save Money and Improve UX The best way to understand the impact of technology is to understand the specifics, examples of how to actually apply technology to solve current problems. The following are 8 common AI...
6 Problems AI is Good at Solving
6 Problems AI is Good At Solving Over 85% of data science projects fail to go beyond testing and into production. If everyone is starting a Machine Learning / Artificial Intelligence project, where is it going wrong? With this post it should help you to focus on the...
Natural Language Generation and Its Business Applications
Natural Language Generation and Its Business Applications Natural Language Generation (NLG) As a continued exploration of AI Authors and Robot-Generated news, it is worthwhile to explore some of the technology driving these algorithms. AI designed to generate...
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