Unite.AI

APRIL 22, 2024

AI-Powered Virtual Consultations and Remote Monitoring Artificial Intelligence (AI) is transforming telehealth by enhancing its efficiency, accessibility, and personalization. AI-driven telehealth platforms, employing tools like chatbots, autonomously handle patient interactions, schedule appointments, and deliver medical information.

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Chatbots Artificial Intelligence Artificial Intelligence Natural Language Processing 182

NVIDIA

MARCH 1, 2024

They have a simple goal: to enable trust and transparency in AI and support the work of partners, customers and developers. Privacy: Complying With Regulations, Safeguarding Data AI is often described as data hungry. Often, the more data an algorithm is trained on, the more accurate its predictions.

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Dlabs.ai

JULY 19, 2023

Example: Algorithmic Bias in the UK A-level Grading To illustrate, consider a real-world example that occurred during the COVID-19 pandemic in the UK. With the traditional A-level exams canceled due to health concerns, the UK government used an algorithm to determine student grades.

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Explainable AI Explainability Algorithm Auto-complete 97

IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Watsonx.ai

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Unite.AI

JANUARY 12, 2024

Advances in attention mechanisms and algorithms are needed to integrate contradictory multimodal inputs. Enhancing user trust via explainable AI also remains vital. Addressing these technical obstacles will be key to unlocking multimodal AI's capabilities.

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Towards AI

APRIL 2, 2024

However, the AI community has also been making a lot of progress in developing capable, smaller, and cheaper models. This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. X’s Grok Chatbot Will Soon Get an Upgraded Model, Grok-1.5

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Marktechpost

MAY 12, 2024

It is based on adjustable and explainable AI technology. Furthermore, Datarails’ AI chatbot FP&A Genius aids forecasting by providing solutions to any queries or scenarios you or management may have, all based on reliable and historical data.

AI Tools 102

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Pickl AI

APRIL 8, 2024

Summary: AI’s immense potential is undeniable, but its journey riddle with roadblocks. This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. 13 AI Mistakes That Are Worth Your Attention 1.

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Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed.

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Ofemwire

MARCH 1, 2024

What is AI Artificial Intelligence, commonly referred to as AI, embodies the simulation of human intelligence processes by machines, especially computer systems. If you dont get that, let me explain what AI is, like I would do to a fifth grader. Chatbots are often used in customer service or as virtual assistants.

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Viso.ai

MARCH 26, 2024

4: Algorithmic Trading and Market Analysis No.5: Viso Suite is the Computer Vision Enterprise Platform Computer Vision Algorithms for Finance Models like YOLO (You Only Look Once) models and Faster R-CNN have set benchmarks in real-time processing as well. 1: Fraud Detection and Prevention No.2:

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Pickl AI

JULY 14, 2023

The following blog will emphasise on what the future of AI looks like in the next 5 years. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

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Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Pickl AI

AUGUST 14, 2024

Fundamentals of Machine Learning Machine Learning is a subset of Artificial Intelligence that focuses on developing algorithms that allow computers to learn from and make predictions based on data. This capability makes them particularly effective for tasks such as image and speech recognition, where traditional algorithms may struggle.

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Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

ODSC - Open Data Science

FEBRUARY 18, 2025

FinanceAlgorithmic trading and fraud detection powered by autonomous AI decision-making. Customer ServiceAI chatbots provide advanced customer support with contextual understanding. ManufacturingRobotic automation with AI-powered quality control and predictive maintenance.

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Explainability Automation AI AI 59

Pickl AI

JANUARY 13, 2025

With clear and engaging writing, it covers a range of topics, from basic AI principles to advanced concepts. Readers will gain a solid foundation in search algorithms, game theory, multi-agent systems, and more. Key Features: Comprehensive coverage of AI fundamentals and advanced topics. Detailed algorithms and pseudo-codes.

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How to Learn Machine Learning

JANUARY 21, 2023

Artificial intelligence (AI) is a term that encompasses the use of computer technology to solve complex problems and mimic human decision-making. At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data.

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Pickl AI

AUGUST 1, 2024

Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms. Understanding this role is crucial for anyone interested in pursuing a career in AI and Machine Learning.

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Heartbeat

SEPTEMBER 7, 2023

Imagine an AI system deciding whether a loan application is approved or denied. Without the ability to explain why a particular decision was made, the applicant might feel an inscrutable algorithm determines their fate. The Challenge : Making chatbot responses understandable and justifiable to users.

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The MLOps Blog

FEBRUARY 27, 2025

Adhering to data protection laws is not as complex if we focus less on the internal structure of the algorithms and more on the practical contexts of use. Picture this: youve spent months fine-tuning an AI-powered chatbot to provide mental health support. Lets get started! So how can we address bias in LLMs?

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LLM Large Language Models Explainability Machine Learning 64

IBM Journey to AI blog

SEPTEMBER 3, 2024

Artificial intelligence (AI) has enormous value but capturing the full benefits of AI means facing and handling its potential pitfalls. Here’s a closer look at 10 dangers of AI and actionable risk management strategies. Bias Humans are innately biased, and the AI we develop can reflect our biases.

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Pickl AI

APRIL 2, 2024

Predictive Analytics: Forecasting future outcomes based on historical data and statistical algorithms. Machine Learning: Subset of AI that enables systems to learn from data without being explicitly programmed. Use it for sentiment analysis, topic modeling, and building chatbots.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

AI Weekly

AUGUST 22, 2024

bbc.com The unstoppable rise of Chubby: Why TikTok's AI-generated cat could be the future of the internet Tearjerker videos of AI-generated cats earned millions of views and a devoted following, blurring the line between spam and art. Is it the algorithm, or is this what the internet wants? pdf, Word, etc.)

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IBM Journey to AI blog

FEBRUARY 9, 2024

They make AI more explainable: the larger the model, the more difficult it is to pinpoint how and where it makes important decisions. Explainable AI is essential to understanding, improving and trusting the output of AI systems. “2023 was the year of being able to chat with an AI.

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