Flipboard

DECEMBER 26, 2024

In this renewed plea, which reads as a cry of the soul, Hubert explains how dire the situation is: The size of software has gotten huge, with applications as simple as garage door openers taking up to 50 million lines of code to implement. Chatbots, for example, are trained on most of the internet before they can speak well.

Software Engineer 177

Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

IBM Journey to AI blog

AUGUST 9, 2024

Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Generative adversarial networks (GANs) consist of two neural networks: a generator that produces new content and a discriminator that evaluates the accuracy and quality of the generated content. But generative AI is not predictive AI.

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Generative AI Explainability AI AI 301

AI News

JULY 24, 2023

Compound sparsity combines techniques such as unstructured pruning, quantisation, and distillation to significantly reduce the size of neural networks while maintaining their accuracy. “We This approach challenges the notion that GPUs are necessary for efficient deep learning,” explains Bogunowicz.

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Deep Learning Large Language Models Neural Network Big Data 246

Unite.AI

MARCH 11, 2024

For instance, a chatbot using retrieval-augmented generation (RAG) can handle missing information gracefully. Interpretable and Explainable: Using multiple components allows us to interpret how each component contributes to the final output, making these systems interpretable and transparent.

AI Modeling 301

AI Modeling Neural Network Large Language Models AI 301

AssemblyAI

NOVEMBER 21, 2022

Regardless of the specific architecture employed, (nearly) every Neural Network relies on efficient matrix multiplication to learn and infer. To explain how this works, let us illustrate the (2 times 2) case: The figure shows the tensor (mathcal{T}) representing matrix multiplication in the (2 times 2) case.

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Explainability Neural Network Algorithm Deep Learning 130

AI News

MAY 14, 2024

Pioneering capabilities The introduction of GPT-4o marks a leap from its predecessors by processing all inputs and outputs through a single neural network. That is a massive increase in accessibility,” explained Whittemore. Prior to GPT-4o, ‘Voice Mode’ could handle audio interactions with latencies of 2.8

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OpenAI Big Data Neural Network ChatGPT 351

AWS Machine Learning Blog

FEBRUARY 25, 2025

Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce. This would explain why k-NN-based models outperform LLM-based models.

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Chatbots Categorization LLM Algorithm 70

AI Weekly

JANUARY 18, 2024

Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years. Builders can now share their creations in the dedicated store.

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Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

Marktechpost

FEBRUARY 1, 2025

However, the unpredictable nature of real-world data, coupled with the sheer diversity of tasks, has led to a shift toward more flexible and robust frameworks, particularly reinforcement learning and neural network-based approaches. Ethical and social imperatives also come to the fore in conversational systems.

LLM 101

LLM Robotics Neural Network Large Language Models 101

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. But before we discuss what watsonx is doing for enterprises today, let’s take a look back.

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Machine Learning Neural Network Robotics Natural Language Processing 291

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

Unite.AI

MAY 8, 2024

Perplexity AI is an AI-chatbot-powered research and conversational search engine that answers queries using natural language predictive text. The most crucial point during this process was when I learned about neural networks and deep learning. He then moved to Perplexity as the Head of Search.

Machine Learning 295

Machine Learning Software Engineer Large Language Models Data Analysis 295

Flipboard

JUNE 20, 2023

In this guide , we explain the key terms in the field and why they matter. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data. Neural networks Neural networks are found in the human brain.

Neural Network 157

Neural Network Deep Learning Machine Learning Artificial Intelligence 157

Towards AI

JANUARY 23, 2025

Meme shared by rucha8062 TAI Curated section Article of the week Graph Neural Networks: Unlocking the Power of Relationships in Predictions By Shenggang Li This article explores Graph Neural Networks (GNNs), focusing on their ability to analyze connected data. Meme of the week! Our must-read articles 1.

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Neural Network Computer Vision LLM AI 93

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

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.”

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Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Flipboard

MARCH 18, 2025

Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side. It offers code auto-completions, and not just of single linesit can generate entire sections of code, and then explain the reasoning behind them.

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Large Language Models AI OpenAI AI 135

IBM Journey to AI blog

JANUARY 10, 2024

AI can also work from deep learning algorithms, a subset of ML that uses multi-layered artificial neural networks (ANNs)—hence the “deep” descriptor—to model high-level abstractions within big data infrastructures. The real-world potential of AI is immense.

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Unite.AI

SEPTEMBER 15, 2023

In the fast-evolving world of technology, chatbots have become a mainstay in both professional and personal spheres. How ChatGPT Adopts a Persona As we interact with various chatbots or digital assistants, we often encounter distinct “personalities” or styles of interaction.

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ChatGPT Prompt Engineer Prompt Engineering Conversational AI 312

Marktechpost

APRIL 28, 2024

It teaches how to build generative AI-powered apps and chatbots and deploy AI applications using Python and Flask. The course covers the common terminologies of AI, including neural networks, machine learning, deep learning, etc., AI For Everyone “AI For Everyone” has been designed by DeepLearning.AI

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Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 107

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

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Neural Network Large Language Models Robotics BERT 55

Marktechpost

JULY 5, 2024

Code Generation: Claude AI can generate code snippets, understand various programming languages, explain code functionality, and assist in debugging. Accessibility: Both models are available through chatbots and APIs. For example, using Python, developers can instruct Claude to explain complex concepts such as neural networks.

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Large Language Models Neural Network ChatGPT Explainability 117

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.

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Machine Learning Chatbots Neural Network Natural Language Processing 66

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.

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Neural Network Natural Language Processing Large Language Models Deep Learning 91

NVIDIA

DECEMBER 13, 2023

Financial services firms can harness generative AI to develop more intelligent and capable chatbots and improve fraud detection. Chatbot scams are such a problem that the U.S. NVIDIA offers tools to help enterprises embrace generative AI to build chatbots and virtual agents with a workflow that uses retrieval-augmented generation.

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Explainability Neural Network Computer Vision Generative AI 112

Towards AI

MARCH 6, 2025

Meme shared by ghost_in_the_machine TAI Curated section Article of the week LangGraph + DeepSeek-R1 + Function Call + Agentic RAG (Insane Results) By Gao Dalie () This article outlines building a multi-agent chatbot using LangGraph, DeepSeek-R1, function calling, and Agentic RAG to enhance information retrieval and response generation.

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Python Chatbots Large Language Models LLM 54

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. Enhancing user trust via explainable AI also remains vital.

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Generative AI Neural Network ChatGPT Conversational AI 187

Marktechpost

JANUARY 14, 2024

These intricate systems use neural networks to interpret and respond to linguistic inputs. Their aptitude to process and generate language has far-reaching consequences in multiple fields, from automated chatbots to advanced data analysis.

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Large Language Models AI Researcher AI Research Neural Network 140

Towards AI

AUGUST 8, 2024

Then, moves to a more complex NN with one hidden layer, explaining its forward and backward training processes in detail. It is suitable for AI applications that require long-term memory and context retention, such as chatbots and smart assistants. Our must-read articles 1.

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Neural Network Metadata Explainability LLM 111

IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. It stands out as a high-quality conversational chatbot that aims to provide coherent and context-aware responses. ” You reply, “Ah, excuse me but that’s just not possible.”

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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

Mlearning.ai

MAY 11, 2023

Indeed, this AI is a powerful natural language processing tool that can be used to generate human-like language, making it an ideal tool for creating chatbots, virtual assistants, and other applications that require natural language interactions. What lies behind GPT is a type of artificial intelligence (AI) called a neural network.

Neural Network 52

Neural Network Explainability Convolutional Neural Networks Natural Language Processing 52

AssemblyAI

JUNE 27, 2023

In this article, we take an overview of some exciting new advances in the space of Generative AI for audio that have all happened in the past few months , explaining where the key ideas come from and how they come together to bring audio generation to a new level. At its core, it's an end-to-end neural network-based approach.

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Generative AI BERT Neural Network Deep Learning 298

AI Weekly

MAY 4, 2023

news-medical.net Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models Machine learning may aid the choice of optimal combinations of anticancer drugs by explaining the molecular basis of their synergy. Learn more] sjv.io gadgets360.com freepressjournal.in

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Robotics Artificial Intelligence Artificial Intelligence Machine Learning 130

ODSC - Open Data Science

APRIL 3, 2023

Are you curious about explainability methods like saliency maps but feel lost about where to begin? QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. Don’t worry, you’re not alone! This makes multi-agent systems very cheap to train.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Towards AI

SEPTEMBER 12, 2024

It explains how each component of the Llama 3 model works under the hood, guides you on how to write codes to build each component and assemble them all together to build a fully functional Llama 3 model. How Does AI Work?

Neural Network 111

Neural Network LLM NLP Algorithm 111

IBM Journey to AI blog

OCTOBER 16, 2023

Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. Such chatbots ensure that customers don’t have to wait, and even large numbers of simultaneous customers can get immediate attention around the clock and, hopefully, a more positive customer experience.

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Machine Learning ML Algorithm Chatbots 131

Snorkel AI

MARCH 26, 2025

AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. An LLM: the neural network that takes in the final prompt and renders verdict. Justification request : Explain why this response was rated higher. However, challenges remain. False - The response is noncompliant.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52