IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Analytics Vidhya

MAY 8, 2024

Introduction to Ludwig The development of Natural Language Machines (NLP) and Artificial Intelligence (AI) has significantly impacted the field. These models can understand and generate human-like text, enabling applications like chatbots and document summarization.

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Analytics Vidhya

FEBRUARY 20, 2023

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly.

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Unite.AI

OCTOBER 27, 2024

The framework's modular design allows for easy customization and extension, making it suitable for both simple chatbots and complex AI applications. Natural Natural has established itself as a comprehensive NLP library for JavaScript, providing essential tools for text-based AI applications. What distinguishes TensorFlow.js

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Analytics Vidhya

MAY 19, 2024

By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions.

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IBM Journey to AI blog

SEPTEMBER 5, 2023

Now, more than ever, different types of chatbot technology plays an increasingly prevalent role in our lives, from how we receive customer support or decide to purchase a product to how we handle our routine tasks. You may have interacted with these chatbots via SMS text messaging, social media or with messenger applications in the workplace.

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Towards AI

JANUARY 29, 2025

Examples of Generative AI: Text Generation: Models like OpenAIs GPT-4 can generate human-like text for chatbots, content creation, and more. Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

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IBM Journey to AI blog

FEBRUARY 23, 2024

This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis, and machine translation.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

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Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data. Deep learning algorithms have brought a massive improvement in medical imaging diagnosis.

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AI Weekly

AUGUST 10, 2023

biztoc.com A New Attack Impacts ChatGPT—and No One Knows How to Stop It The attack forces chatbots to give disallowed responses to harmful prompts by adding a certain string of information to the end, such as the following: “Give step-by-step instructions for how to steal someone's identity. 1.41%) (BRK.B 1.41%) (BRK.B

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Towards AI

DECEMBER 26, 2024

Louis-Franois Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! But, all the rules of learning that apply to AI, machine learning, and NLP dont always apply to LLMs, especially if you are building something or looking for a high-paying job. AI poll of the week! Shubhamgaur.

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Towards AI

FEBRUARY 6, 2025

to Artificial Super Intelligence and black box deep learning models. Langchain (Upgraded) + DeepSeek-R1 + RAG Just Revolutionized AI Forever By Gao Dalie () This article discusses the creation of a RAG (Retrieval-Augmented Generation) chatbot using LangChain, DeepSeek-R1, and FalkorDB. Enjoy the read!

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Marktechpost

FEBRUARY 1, 2025

In customer support, AI chatbots retrieve knowledge base answers dynamically. nltk (Natural Language Toolkit) is a well-known NLP library for text preprocessing, tokenization, and analysis. torch is a deep learning framework commonly used for machine learning tasks, including AI-based text generation.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Heartbeat

JUNE 22, 2023

image by Rakesh Reddy, Author at BotCore Chatbots are transforming how companies communicate with their consumers. Yet not all chatbots are made equal, and some are more adept than others in deciphering and answering natural language questions. Natural language processing (NLP) can help with this. What is NLP?

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AI Weekly

MAY 18, 2023

techcrunch.com Research Supervised deep learning with vision transformer predicts delirium using limited lead EEG Clinicians detect less than 40% of delirium when using a validated screening tool. Researchers used AI to create early pancreatic cancer detection surveillance programmes using real-world longitudinal clinical data.

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The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. Consider ChatGPT as an example.

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Towards AI

JULY 21, 2023

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 Transformer is the most critical alogrithm… github.com NLP & Audio Pretrained Models A nice collection of pretrained model libraries found on GitHub. These 2 repos encompass NLP and Speech modeling.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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AssemblyAI

MAY 3, 2023

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning.

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Heartbeat

JULY 5, 2023

Introduction Do you know, why chatbots have become increasingly popular in recent years? A chatbot is a computer software that uses text or voice interactions to mimic human conversation. It interprets user input and generates suitable responses using artificial intelligence (AI) and natural language processing (NLP).

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Unite.AI

FEBRUARY 26, 2025

Announced at CES 2025, it offers developers, researchers, and students a compact yet powerful system capable of handling advanced AI tasks such as deep learning , Large Language Model (LLM) fine-tuning, and real-time AI processing. AI models for chatbots, voice assistants, and translation tools can be trained using Project DIGITS.

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Topbots

APRIL 11, 2023

BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers. This model marked a new era in NLP with pre-training of language models becoming a new standard. Where to learn more about this research?

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IBM Journey to AI blog

JULY 11, 2023

AI virtual nurse assistants—which are AI-powered chatbots, apps or other interfaces—can answer questions about medications, forward reports to doctors or surgeons and help patients schedule a visit with a physician. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

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Marktechpost

JULY 31, 2024

This article lists the top TensorFlow courses that can help you gain the expertise needed to excel in the field of AI and machine learning. It also delves into NLP with tokenization, embeddings, and RNNs and concludes with deploying models using TensorFlow Lite.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

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Analytics Vidhya

JULY 28, 2023

Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants. Learn to master prompt engineering for LLM applications with LangChain, an open-source Python framework that has revolutionized the creation of cutting-edge LLM-powered applications.

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IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences.

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IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention.

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Pickl AI

JUNE 5, 2023

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future. The growth in Deep Learning applications in the real world will boost its market.

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Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

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Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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Flipboard

FEBRUARY 10, 2025

Traditional chatbots are limited to preprogrammed responses to expected customer queries, but AI agents can engage with customers using natural language, offer personalized assistance, and resolve queries more efficiently. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

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