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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Pickl AI

SEPTEMBER 21, 2023

In this article, we will deep-dive into the captivating world of language model optimization and explore how ChatGPT has made a significant impact in the field. ChatGPT is not just another AI model; it represents a significant leap forward in conversational AI.

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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.,

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. device batch = [t.to(device) device batch = [t.to(device)

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Deep Learning Conversational AI Natural Language Processing Computer Vision 83

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

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Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

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Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

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Large Language Models AI AI Natural Language Processing 52

AssemblyAI

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives.

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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. ChatGPT is a next-generation language model (referred to as GPT-3.5) Customer Experience (CX) Conversational AI as a CX tool is one such application.

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Topbots

JULY 6, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. However, unlike most language models, LaMDA was trained on dialogue to pick up on nuances that distinguish open-ended conversation from other forms of language.

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LLM Large Language Models Natural Language Processing OpenAI 52

ODSC - Open Data Science

APRIL 11, 2023

This workshop will introduce you to the fundamentals of PySpark (Spark’s Python API), the Spark NLP library, and other best practices in Spark programming when working with textual or natural language data. We have seen these techniques advancing multiple fields in AI such as NLP, Computer Vision, and Robotics.

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NLP Large Language Models Data Science Big Data 96

Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 2 ] Multilingual models perform worse on several NLP tasks on low resource languages than on high resource languages such as English.[

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Natural Language Processing Computational Linguistics NLP ChatGPT 59

Unite.AI

AUGUST 8, 2023

These advanced AI deep learning models have seamlessly integrated into various applications, from Google's search engine enhancements with BERT to GitHub’s Copilot, which harnesses the capability of Large Language Models (LLMs) to convert simple code snippets into fully functional source codes.

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Topbots

JUNE 29, 2023

4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5, 5, 6, 7] However, amidst the hype around generative AI, recent approaches focus on autoregressive models such as the T5 model. different variants of semantic parsing. Talk to me!

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Auto-complete Algorithm Data Scientist Auto-classification 52

Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. Email Address * Name * First Last Company * What areas of AI research are you interested in?

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LLM ChatGPT Prompt Engineer Prompt Engineering 105