ODSC - Open Data Science

JUNE 9, 2023

The 1970s introduced bell bottoms, case grammars, semantic networks, and conceptual dependency theory. In the 90’s we got grunge, statistical models, recurrent neural networks and long short-term memory models (LSTM). It uses a neural network to learn the vector representations of words from a large corpus of text.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

Marktechpost

JULY 3, 2023

The underlying architecture of LLMs typically involves a deep neural network with multiple layers. Based on the discovered patterns and connections found in the training data, this network analyses the input text and produces predictions.

Large Language Models 98

Large Language Models Natural Language Processing LLM BERT 98

Topbots

OCTOBER 4, 2023

Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g., Masking in BERT architecture ( illustration by Misha Laskin ) Another common type of generative AI model are diffusion models for image and video generation and editing.

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Dlabs.ai

MAY 22, 2022

Here, we’ll focus more on his AI courses, particularly the one on ML (one of the most popular and highly-rated Machine Learning online courses around). Once complete, you’ll know all about machine learning, statistics, neural networks, and data mining.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52

Pickl AI

SEPTEMBER 21, 2023

ChatGPT is not just another AI model; it represents a significant leap forward in conversational AI. With its ability to engage in natural, context-aware conversations, ChatGPT is reshaping how we communicate with machines. ChatGPT, like its predecessors, relies on a transformer-based neural network.

ChatGPT 52

ChatGPT Conversational AI Chatbots Natural Language Processing 52

ML Review

DECEMBER 16, 2019

The main venue alone had more than 100 graph-related publications, and even more were available at three workshops: Graph Representation Learning (about 100 more papers), Knowledge Representation & Reasoning Meets Machine Learning (KR2ML) (about 50 papers), Conversational AI. So we’ll consider all events jointly.

Machine Learning 52

Machine Learning Neural Network Explainability NLP 52

Topbots

JULY 6, 2023

To build a model for open-domain dialog applications, where a dialog agent is able to converse about any topic with responses being sensible, specific to the context, grounded on reliable sources, and ethical. LaMDA is built on Transformer , a neural network architecture that Google Research invented and open-sourced in 2017.

LLM 52

LLM Large Language Models Natural Language Processing NLP 52

Unite.AI

FEBRUARY 8, 2025

Models like BERT and GPT took language understanding to new depths by grasping the context of words more effectively. ChatGPT, for instance, revolutionized conversational AI , transforming customer service and content creation. Transformers have also found critical applications in healthcare.

Convolutional Neural Networks 272

Convolutional Neural Networks Neural Network Natural Language Processing Robotics 272

Unite.AI

AUGUST 8, 2023

The Technologies Behind Generative Models Generative models owe their existence to deep neural networks, sophisticated structures designed to mimic the human brain's functionality. By capturing and processing multifaceted variations in data, these networks serve as the backbone of numerous generative models.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243