Towards AI

DECEMBER 12, 2024

We are diving into Mechanistic interpretability, an emerging area of research in AI focused on understanding the inner workings of neural networks. Jjj8405 is seeking an NLP/LLM expert to join the team for a project. DINN extends DWLR by adding feature interaction terms, creating a neural network architecture.

Neural Network 103

Neural Network LLM Explainability NLP 103

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. Neurons in the network are associated with a set of numbers, commonly referred to as the neural network’s parameters.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Towards AI

JANUARY 22, 2025

Example: Customer Support Chatbots Imagine youre running a business, and customers frequently ask: Whats your return policy? Instead of regenerating answers every time, the chatbots CAG system fetches pre-generated responses from its cache, ensuring faster replies and consistent messaging. How do I track my order?

Neural Network 105

Neural Network Chatbots Large Language Models NLP 105

IBM Journey to AI blog

AUGUST 13, 2024

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making. In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

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

Neural Network 246

Neural Network Natural Language Processing Deep Learning Robotics 246

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.

NLP 111

NLP Data Science Deep Learning BERT 111

Towards AI

DECEMBER 26, 2024

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. The chatbot leverages a knowledge graph built from uploaded PDFs processed via PyMuPDF and Pillow to create images and embeddings. AI poll of the week!

LLM 105

LLM Neural Network NLP Computer Vision 105

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.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. They’re also part of a family of generative learning algorithms that model the input distribution of a given class or/category.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

JANUARY 29, 2025

Deep Learning is a specialized subset of Artificial Intelligence (AI) and machine learning that employs multilayered artificial neural networks to analyze and interpret complex data. Natural Language Processing: Powers applications such as language translation, sentiment analysis, and chatbots. What is Deep Learning?

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

Marktechpost

JANUARY 30, 2025

Intelligent Virtual Assistants Chatbots, voice assistants, and specialized customer service agents continually refine their responses through user interactions and iterative learning approaches. Natural Language Processing (NLP): Text data and voice inputs are transformed into tokens using tools like spaCy.

Robotics 113

Robotics Convolutional Neural Networks Large Language Models AI 113

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. These models mimic the human brain’s neural networks, making them highly effective for image recognition, natural language processing, and predictive analytics.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

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. With text to speech and NLP, AI can respond immediately to texted queries and instructions. Humanize HR AI can attract, develop and retain a skills-first workforce.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. Prompt 1 : “Tell me about Convolutional Neural Networks.”

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Pickl AI

AUGUST 14, 2024

Summary: Neural networks are a key technique in Machine Learning, inspired by the human brain. Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Pickl AI

NOVEMBER 26, 2024

Summary: Recurrent Neural Networks (RNNs) are specialised neural networks designed for processing sequential data by maintaining memory of previous inputs. Introduction Neural networks have revolutionised data processing by mimicking the human brain’s ability to recognise patterns.

Neural Network 52

Neural Network Natural Language Processing NLP Deep Learning 52

Pickl AI

NOVEMBER 13, 2024

Summary: Backpropagation in neural network optimises models by adjusting weights to reduce errors. Despite challenges like vanishing gradients, innovations like advanced optimisers and batch normalisation have improved their efficiency, enabling neural networks to solve complex problems.

Neural Network 52

Neural Network Algorithm Convolutional Neural Networks Natural Language Processing 52

AssemblyAI

JANUARY 23, 2025

This technology is widely used in virtual assistants, transcription tools, conversational intelligence apps (which for example can extract meeting insights or provide sales and customer insights), customer service chatbots, and voice-controlled devices. What sets wav2letter apart is its unique architecture.

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

Marktechpost

JULY 31, 2024

Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics. It also delves into NLP with tokenization, embeddings, and RNNs and concludes with deploying models using TensorFlow Lite.

Neural Network 106

Neural Network Auto-classification Natural Language Processing Deep Learning 106

Mlearning.ai

MAY 30, 2023

Recurrent Neural Networks (RNNs) have become a potent tool for analysing sequential data in the large subject of artificial intelligence and machine learning. As we know that Convolutional Neural Network (CNN) is used for structured arrays of data such as image data. RNN is used for sequential data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

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. What is the goal? accuracy on SQuAD 1.1

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). As a result, LLMs have become a key tool for a wide range of NLP applications. ChatGPT , a chatbot developed by the OpenAI team, is an example of an LLM.

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Large Language Models ChatGPT Neural Network LLM 124

Marktechpost

MAY 28, 2024

The Generative Pre-trained Transformer (GPT) series, developed by OpenAI, has revolutionized the field of NLP with its groundbreaking advancements in language generation and understanding. It achieved impressive results on various NLP tasks, such as text summarization, translation, and question answering. Model Size: 1.5

Neural Network 113

Neural Network Convolutional Neural Networks NLP Data Analysis 113

Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 91

Neural Network Natural Language Processing Large Language Models Deep Learning 91

Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. Building a customer service chatbot using all the techniques covered in the course.

Prompt Engineer 267

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 267

O'Reilly Media

NOVEMBER 19, 2024

at Google, and “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” by Patrick Lewis, et al., One more embellishment is to use a graph neural network (GNN) trained on the documents. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al.,

LLM 125

LLM NLP Hybrid AI Large Language Models 125

Chatbots Life

SEPTEMBER 19, 2024

Are you thinking about creating a chatbot for your business? Chatbots have quickly become a popular AI tool. In fact, according to a Facebook report, over 300,000 active chatbots are on Facebook Messenger alone. Chatbots aren’t limited to just Facebook anymore; they’re making appearances on websites across various industries.

Machine Learning 66

Machine Learning Chatbots Neural Network Natural Language Processing 66

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

Large Language Models 215

Large Language Models BERT Neural Network Natural Language Processing 215

NVIDIA

FEBRUARY 11, 2025

They said transformer models , large language models (LLMs), vision language models (VLMs) and other neural networks still being built are part of an important new category they dubbed foundation models. Earlier neural networks were narrowly tuned for specific tasks. Trained on 355,000 videos and 2.8

Neural Network 55

Neural Network Large Language Models Robotics BERT 55

ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. To get you started on your journey, we’ve released a new on-demand Introduction to NLP course. Here are some more details.

NLP 52

NLP Neural Network Deep Learning Large Language Models 52

Marktechpost

OCTOBER 10, 2023

is a transformer model, a type of neural network especially useful for NLP applications. is useful for various natural language processing (NLP) applications, including machine translation, text summarization, and question-answering. can be used to develop chatbots and other assistance applications. Mistral-7B-v0.1

Large Language Models 108

Large Language Models Neural Network Natural Language Processing NLP 108

Unite.AI

JANUARY 12, 2024

The rise of deep learning reignited interest in neural networks, while natural language processing surged with ChatGPT-level models. MoE architectures combine multiple specialized neural network “experts” optimized for different tasks or data types.

Generative AI 184

Generative AI Neural Network ChatGPT Natural Language Processing 184

IBM Journey to AI blog

AUGUST 16, 2023

It stands out as a high-quality conversational chatbot that aims to provide coherent and context-aware responses. The chatbot’s ability to remember previous conversations adds to its interactive and engaging experience. ChatGPT is an excellent tool for exploring creative writing, generating ideas and interacting with AI.

ChatGPT 170

ChatGPT Chatbots Natural Language Processing AI Chatbots 170

ODSC - Open Data Science

APRIL 3, 2023

QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. This makes multi-agent systems very cheap to train.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Mlearning.ai

MAY 5, 2023

In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. NLP researchers focused on developing statistical models that could process and generate text based on patterns and probabilities, rather than strict rules. I think GPT-3 is as intelligent as a human.

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

Towards AI

SEPTEMBER 12, 2024

Learn about the most exciting advancements in ML, NLP, and robotics and how they are being scaled for success and growth. If you are interested in NLP, contact him in the thread! They are looking for someone to work on this and a potential co-founder. If you are interested, connect with them in the thread! How Does AI Work?

Neural Network 111

Neural Network LLM NLP Algorithm 111

IBM Journey to AI blog

OCTOBER 16, 2023

Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. This communication can involve speech recognition, speech-to-text conversion, NLP, or text-to-speech.

Machine Learning 131

Machine Learning ML Algorithm Chatbots 131