Unite.AI

APRIL 30, 2024

It includes deciphering neural network layers , feature extraction methods, and decision-making pathways. These AI systems directly engage with users, making it essential for them to adapt and improve based on user interactions. These systems rely heavily on neural networks to process vast amounts of information.

Chatbots 204

Chatbots Neural Network BERT OpenAI 204

Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. This method requires fewer resources at test time and has been shown to effectively explain model predictions, even in LLMs with billions of parameters.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Marktechpost

MARCH 28, 2024

It provides a comprehensive understanding of advanced AI concepts while focusing on their practical implementation using Python. Machine Learning (in Python and R) for Dummies This book explains the fundamentals of machine learning by providing practical examples using Python and R.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 142

IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

NVIDIA

MARCH 18, 2024

Talking the Talk LLMs , a form of generative AI, largely represent a class of deep-learning architectures known as transformer models , which are neural networks adept at learning context and meaning. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

Generative AI 111

Generative AI AI Developer AI Development Auto-complete 111

Marktechpost

JUNE 28, 2024

It provides a comprehensive understanding of advanced AI concepts while focusing on their practical implementation using Python. Machine Learning (in Python and R) for Dummies This book explains the fundamentals of machine learning by providing practical examples using Python and R.

Artificial Intelligence 117

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 117

IBM Journey to AI blog

JANUARY 15, 2024

Generative AI is emerging as a valuable solution for automating and improving routine administrative and repetitive tasks. This technology excels at applying foundation models, which are large neural networks trained on extensive unlabeled data and fine-tuned for various tasks. It helps to ensure consistent outputs.

Generative AI 200

Generative AI Responsible AI Neural Network Natural Language Processing 200

Unite.AI

JULY 25, 2023

Stages Of AI Feedback Loops A high-level illustration of feedback mechanism in AI models. Source Understanding how AI feedback loops work is significant to unlock the whole potential of AI development. Let's explore the various stages of AI feedback loops below.

Data Drift 246

Data Drift AI AI AI Modeling 246

Marktechpost

APRIL 28, 2024

IBM AI Developer Professional Certificate This is a comprehensive course that introduces the fundamentals of software engineering and artificial intelligence and also covers some of the emerging technologies like generative AI. AI For Everyone “AI For Everyone” has been designed by DeepLearning.AI

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence Prompt Engineering Prompt Engineer 109

Marktechpost

NOVEMBER 16, 2024

It provides a comprehensive understanding of advanced AI concepts while focusing on their practical implementation using Python. Machine Learning (in Python and R) for Dummies This book explains the fundamentals of machine learning by providing practical examples using Python and R.

Artificial Intelligence 107

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 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

Neural Network 55

Neural Network Large Language Models Robotics BERT 55

Flipboard

MARCH 18, 2025

It offers code auto-completions, and not just of single linesit can generate entire sections of code, and then explain the reasoning behind them. Or the developer can explain a new feature or function in plain language and the AI will code a prototype of it. Anysphere says Cursor now has more than 40,000 customers.

Large Language Models 135

Large Language Models AI AI OpenAI 135

Marktechpost

JULY 5, 2024

Known for its stringent AI ethics, Anthropic focuses on creating safe and reliable AI systems. The company is backed by tech giants such as Google and Amazon, which support its mission of ethical AI development. Users can create an account and start querying the AI model.

Large Language Models 120

Large Language Models Neural Network ChatGPT Explainability 120

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Unite.AI

DECEMBER 9, 2024

Central to this progress is the concept of scaling laws rules that explain how AI models improve as they grow, are trained on more data, or are powered by greater computational resources. For years, these laws served as a blueprint for developing better AI. This recipe has driven AIs evolution for over a decade.

AI Modeling 147

AI Modeling Neural Network AI AI 147

Snorkel AI

JANUARY 22, 2025

The neural network architecture of large language models makes them black boxes. Neither data scientists nor developers can tell you how any individual model weight impacts its output; they often cant reliably predict how small changes in the input will change the output. Lets dive in. Sign up here!

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

Generative AI 189

Generative AI Neural Network ChatGPT OpenAI 189

Marktechpost

JUNE 9, 2024

Artificial Intelligence Fundamentals This course covers AI fundamentals, including key concepts, challenges in defining AI, and tasks it can perform. It explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and AI, and the impact of data types on training.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 98

IBM Journey to AI blog

APRIL 18, 2024

The skills gap in gen AI development is a significant hurdle. Startups offering tools that simplify in-house gen AI development will likely see faster adoption due to the difficulty of acquiring the right talent within enterprises.

Neural Network 256

Neural Network LLM Algorithm NLP 256

NVIDIA

JANUARY 7, 2025

Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to discuss the significance of world foundation models (WFM) powerful neural networks that can simulate physical environments. World foundation models are important to physical AI developers, said Liu.

Robotics 110

Robotics Neural Network AI AI 110

ODSC - Open Data Science

MARCH 10, 2025

Walk away with practical approaches to designing robust evaluation frameworks that ensure AI systems are measurable, reliable, and deployment-ready. Explainable AI for Decision-Making Applications Patrick Hall, Assistant Professor at GWSB and Principal Scientist at HallResearch.ai

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

NVIDIA

MAY 29, 2024

London-based startup Wayve is pioneering this new era, developing autonomous driving technologies that can be built on NVIDIA DRIVE Orin and its successor NVIDIA DRIVE Thor, which uses the NVIDIA Blackwell GPU architecture designed for transformer , large language model (LLM) and generative AI workloads. In contrast to AV 1.0’s

Generative AI 103

Generative AI Neural Network Robotics Large Language Models 103

ODSC - Open Data Science

MARCH 12, 2025

Early years saw extensive discussions around feature engineering, model selection, and hyperparameter tuning, but as neural networks became more powerful and accessible, interest in classical ML methods decreased. Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Dlabs.ai

AUGUST 16, 2022

This is the challenge that explainable AI solves. Explainable artificial intelligence shows how a model arrives at a conclusion. What is explainable AI? Explainable artificial intelligence (or XAI, for short) is a process that helps people understand an AI model’s output. Let’s begin.

Explainability 52

Explainability Explainable AI AI Modeling Artificial Intelligence 52

Mlearning.ai

MARCH 30, 2023

To train a machine learning model or a neural network that can yield the best results requires what? How can we train a neural network without having an ample amount of data, even if you have it can you afford to train a model for months? Let me explain this in simple words. This is how transfer learning works.

Neural Network 52

Neural Network AI Developer AI Development Convolutional Neural Networks 52

Becoming Human

MARCH 16, 2023

These branches include supervised and unsupervised learning, as well as reinforcement learning, and within each, there are various algorithmic techniques that are used to achieve specific goals, such as linear regression, neural networks, and support vector machines. A combination of factors is driving this trend.

Neural Network 139

Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 139

Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

Explainable AI 52

Explainable AI Explainability Deep Learning Neural Network 52

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. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

ChatGPT 170

ChatGPT Chatbots Natural Language Processing AI Chatbots 170

Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

Explainable AI 52

Explainable AI Explainability Neural Network Black Box AI 52

Towards AI

MARCH 6, 2025

Youll build projects, use LLMs as coding assistants, and develop the problem-solving mindset that AI development demands. Heres what youll get: Learn Python by building real AI applications Every concept is tied to a practical, real-world use case. In this course, you wont just go through Python fundamentals.

Python 54

Python Chatbots Large Language Models LLM 54

Viso.ai

DECEMBER 18, 2023

ONNX (Open Neural Network Exchange) is an open-source format that facilitates interoperability between different deep learning algorithms for simple model sharing and deployment. ONNX (Open Neural Network Exchange) is an open-source format. A deep learning framework from Microsoft. Apache MXNet. Apple Core ML.

Explainability 52

Explainability Neural Network Deep Learning Machine Learning 52

NVIDIA

SEPTEMBER 25, 2023

It’s a journey that can be summarized in six steps: Expand analysis of the threats Broaden response mechanisms Secure the data supply chain Use AI to scale efforts Be transparent Create continuous improvements AI security builds on protections enterprises already rely on. Security now needs to cover the AI development lifecycle.

Neural Network 135

Neural Network Machine Learning AI AI 135

Marktechpost

SEPTEMBER 30, 2024

Large Language Models (LLMs) based on Transformer architectures have revolutionized AI development. While the Adam optimizer has become the standard for training Transformers, stochastic gradient descent with momentum (SGD), which is highly effective for convolutional neural networks (CNNs), performs worse on Transformer models.

Neural Network 57

Neural Network Convolutional Neural Networks BERT Explainability 57

Towards AI

MAY 30, 2024

But what does this mean for AI development? source: python.langchain.com In this article, we’ll explore the exciting world of prompt engineering using Langchain, the AI equivalent of scikit-learn for machine learning. While there is no set ‘format’ that is proven as best, there are multiple widely adopted methods.

Prompt Engineer 104

Prompt Engineer Prompt Engineering LLM Neural Network 104

IBM Journey to AI blog

OCTOBER 20, 2023

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development.

Machine Learning 225

Machine Learning Automation AI AI 225

Pickl AI

JANUARY 13, 2025

We aim to guide readers in choosing the best resources to kickstart their AI learning journey effectively. From neural networks to real-world AI applications, explore a range of subjects. Key Features: Comprehensive coverage of AI fundamentals and advanced topics. Explains search algorithms and game theory.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. Another important trend to watch in the future of generative AI is the growing focus on ethical and responsible AI development.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 98