Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

IBM Journey to AI blog

JANUARY 17, 2024

In 1988, British-born programmer Rollo Carpenter created a “chatterbot” named Jabberwocky, among the first “conversational AI” to learn new responses instead of simply serving pre-written language. In that time, chatbots have come a long way and are better than ever at holding a conversation.

Chatbots 153

Chatbots Automation Machine Learning NLP 153

Unite.AI

JUNE 30, 2023

Can you discuss how Cogito uses AI to analyze behavioral cues and provide in-the-moment feedback during conversations? Cogito uses a powerful combination of Emotion and Conversation AI to reveal new insights from all conversations, extracting both what was said and how the customers received the message.

Emotion AI 296

Emotion AI Machine Learning Conversational AI Natural Language Processing 296

IBM Journey to AI blog

JULY 11, 2023

AI can help make healthcare operations more efficient Healthcare organizations are using AI to improve the efficiency of all kinds of processes, from back-office tasks to patient care: Administrative workflow: Healthcare workers spend a lot of time doing paperwork and other administrative tasks.

Deep Learning 138

Deep Learning Natural Language Processing Artificial Intelligence Artificial Intelligence 138

IBM Journey to AI blog

SEPTEMBER 5, 2023

However, more advanced chatbots can leverage artificial intelligence (AI) and natural language processing (NLP) to understand a user’s input and navigate complex human conversations with ease. Read more about conversational AI What are the different types of chatbot?

Chatbots 146

Chatbots AI Chatbots Conversational AI NLP 146

IBM Journey to AI blog

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

Automation 199

Automation Data Scientist AI AI 199

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.

Generative AI 297

Generative AI AI AI Chatbots 297

AssemblyAI

JANUARY 23, 2023

Then, sales and marketing teams can use these insights to flag key sections of conversations, automatically identify risks or opportunities, coach representatives on best practices, identify buying patterns or other trends, and more. What’s the difference between Conversational Intelligence AI and Conversational AI?

AI 130

AI AI AI Modeling Natural Language Processing 130

ODSC - Open Data Science

MAY 1, 2023

Given they’re built on deep learning models, LLMs require extraordinary amounts of data. MLOps can help organizations manage this plethora of data with ease, such as with data preparation (cleaning, transforming, and formatting), and data labeling, especially for supervised learning approaches.

Large Language Models 97

Large Language Models Data Scientist NLP LLM 97

NVIDIA

SEPTEMBER 7, 2023

According to a recent NVIDIA survey , the top AI use cases for financial service institutions are natural language processing (NLP) and large language models (LLMs). AI voice assistants can be trained on finance-specific vocabulary and rephrasing techniques to confirm understanding of a user’s request before offering answers.

Automation 120

Automation AI AI Conversational AI 120

Viso.ai

NOVEMBER 19, 2023

This article provides an overview of AI software products worth checking out in 2024. This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI.

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

ODSC - Open Data Science

MARCH 1, 2023

Recently, we’ve finally reached a turning point in conversational AI. ChatGPT is a task-oriented conversational AI system that enables natural, human-like conversations with machines. What is ChatGPT? For example, to answer the question ‘What time is my package delivered?’

ChatGPT 97

ChatGPT Chatbots Conversational AI Natural Language Processing 97

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Convolutional Neural Networks 134

Convolutional Neural Networks Data Mining Categorization Machine Learning 134

Analytics Vidhya

APRIL 6, 2023

Artificial Intelligence (AI) has come a long way since its early days. It has been fueled by numerous factors, including advancements in computing technology and an increasing demand for automated systems.

ChatGPT 251

ChatGPT Artificial Intelligence Artificial Intelligence Automation 251

Topbots

OCTOBER 4, 2023

The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., a social media post or product description).

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Topbots

MAY 24, 2023

Safety Concerns in Open-Source AI Projects Despite their immense potential, open-source AI projects aren’t without risks. These include: Model Misuse : The accessibility of open-source AI models also means they can be misused by malicious actors for purposes such as deepfakes, automated spam, or disinformation campaigns.

Generative AI 119

Generative AI ChatGPT Computer Vision Natural Language Processing 119

ODSC - Open Data Science

APRIL 21, 2023

Generative AI has the world on fire. With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. and is trained in a manner similar to OpenAI’s earlier InstructGPT, but on conversations. million in a combination of pre-seed and seed funding.

ChatGPT 124

ChatGPT Large Language Models OpenAI Conversational AI 124

Marktechpost

JUNE 27, 2023

Customers may reap the benefits of machine learning with MLaaS without incurring the overhead of building an in-house machine learning team or taking on the associated risks. MLaaS is a collection of services that provides pre-built, rather general machine learning tools that each company may tailor to its needs.

Machine Learning 56

Machine Learning Data Scientist Artificial Intelligence Artificial Intelligence 56

Heartbeat

NOVEMBER 6, 2023

The advent of Large Language Models (LLMs) has changed the Artificial Intelligence (AI) landscape. These powerful Natural Language Processing (NLP) models bring conversational AI to mainstream applications as business leaders move to integrate their products with chat-based capabilities.

LLM 52

LLM Machine Learning Deep Learning Natural Language Processing 52

Snorkel AI

MAY 10, 2023

This is a diagnostic method that came out of the Allen Institute for AI, or AI2, by Swayamdipta et al., The problem setup: I work on our chatbot, so a lot of what’s on my mind day-to-day is this NLU pipeline for a conversational AI system. What we looked towards was dataset cartography. It was an incredible presentation.

Data Science 52

Data Science Conversational AI Data Scientist NLP 52

Snorkel AI

MAY 10, 2023

This is a diagnostic method that came out of the Allen Institute for AI, or AI2, by Swayamdipta et al., The problem setup: I work on our chatbot, so a lot of what’s on my mind day-to-day is this NLU pipeline for a conversational AI system. What we looked towards was dataset cartography. It was an incredible presentation.

Data Science 52

Data Science Conversational AI Data Scientist NLP 52

Topbots

SEPTEMBER 11, 2023

For example, let’s say you are observing a competitor that is offering a service for fully automated generation of marketing content. Users click a “big red button”, and the AI marches ahead to write and publish the content. These can provide for a defensible moat even as other competitors catch up with automated content generation.

AI 59

AI AI UX Design Automation 59

Topbots

JULY 6, 2023

To test this suggestion, they trained a 175B-parameter autoregressive language model, called GPT-3 , and evaluated its performance on over two dozen NLP tasks. Email Address * Name * First Last Company * What areas of AI research are you interested in? What are the results? F1 in the zero-shot setting, 84.0 ’s responses in 70.2%

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

Topbots

JANUARY 30, 2023

Making the transition from classical language generation to recognising and responding to specific communicative intents is an important step to achieve better acceptance of user-facing NLP systems, especially in Conversational AI. Email Address * Name * First Last Company * What areas of AI research are you interested in?

Large Language Models 52

Large Language Models LLM Computational Linguistics Natural Language Processing 52

Topbots

AUGUST 22, 2023

Both reference comparisons and criteria-based evaluations can be executed either by human evaluators or through automated processes. Once the automated evaluation phase is completed, the next step typically involves a deeper dive with high-quality human evaluators to validate the auto-evaluation’s trustworthiness.

LLM 52

LLM Auto-complete Large Language Models Machine Learning 52

Topbots

MARCH 2, 2023

The strengths of AI lie in finding patterns from vast amount of data from heterogeneous sources, at its best augmenting humans’ abilities in challenging tasks such as molecular optimization. Advances in de novo molecular design tools enable automation of the design step in in silico design-make-test-analyze (DMTA) cycles of drug design. [10]

Generative AI 52

Generative AI Explainability Algorithm ML 52

The MLOps Blog

OCTOBER 3, 2023

What helped me both in the transition to the data scientist role and then also to the MLOps engineer role was doing a combination of boot camps, and when I was going to the MLOps engineer role, I also took this one workshop that’s pretty well-known called Full Stack Deep Learning. I really enjoyed it. How was my code?”

ML 52

ML Data Scientist Machine Learning Data Science 52