Unite.AI

DECEMBER 9, 2024

This recipe has driven AIs evolution for over a decade. Early neural networks like AlexNet and ResNet demonstrated how increasing model size could improve image recognition. Then came transformers where models like GPT-3 and Googles BERT have showed that scaling could unlock entirely new capabilities, such as few-shot learning.

AI Modeling 144

AI Modeling Neural Network AI AI 144

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. The Scale and Complexity of LLMs The scale of these models adds to their complexity.

LLM 261

LLM Machine Learning Explainability Algorithm 261

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. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others.

NLP 111

NLP Data Science Deep Learning BERT 111

ODSC - Open Data Science

MARCH 12, 2025

The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis. 20232024: The emergence of GPT-4, Claude, and open-source LLMs dominated discussions, highlighting real-world applications, fine-tuning techniques, and AI safety concerns.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Unite.AI

DECEMBER 27, 2023

These innovations have been, in fact, the foundation for the AI developments we witnessed recently. Facebook's RoBERTa, built on the BERT architecture, utilizes deep learning algorithms to generate text based on given prompts. OpenAI's GPT-4 stands as a state-of-the-art generative language model, boasting an impressive over 1.7

Generative AI 215

Generative AI Chatbots Large Language Models OpenAI 215

Viso.ai

MARCH 20, 2024

Foundation models are recent developments in artificial intelligence (AI). Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., are at the forefront of the AI revolution. In this article, we’ll discuss the transformative impact of foundation models in modern AI developments.

AI Development 52

AI Development AI Developer Computer Vision BERT 52

Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

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? Then Neural Network in CNN is just for the prediction part.

Neural Network 52

Neural Network AI Development AI Developer Convolutional Neural Networks 52

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 56

Neural Network Convolutional Neural Networks BERT Explainability 56

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

Snorkel AI

OCTOBER 4, 2023

How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development. These large-scale neural networks are trained on vast amounts of data to address a wide number of tasks (i.e. Speed and enhance model development for specific use cases.

Data Scientist 64

Data Scientist AI Neural Network AI 64

Snorkel AI

OCTOBER 4, 2023

How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development. These large-scale neural networks are trained on vast amounts of data to address a wide number of tasks (i.e. Speed and enhance model development for specific use cases.

Data Scientist 59

Data Scientist Neural Network AI AI 59

Snorkel AI

OCTOBER 4, 2023

How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development. These large-scale neural networks are trained on vast amounts of data to address a wide number of tasks (i.e. Speed and enhance model development for specific use cases.

Data Scientist 52

Data Scientist AI AI Neural Network 52

Pickl AI

SEPTEMBER 21, 2023

Transformers, like BERT and GPT, brought a novel architecture that excelled at capturing contextual relationships in language. ChatGPT, like its predecessors, relies on a transformer-based neural network. This architecture enables the model to process and generate text in a hierarchical and context-aware manner.

ChatGPT 52

ChatGPT Conversational AI Chatbots Natural Language Processing 52

Unite.AI

AUGUST 4, 2023

LangChain fills a crucial gap in AI development for the masses. Hugging Face Hugging Face is a FREE-TO-USE Transformers Python library, compatible with PyTorch, TensorFlow, and JAX, and includes implementations of models like BERT , T5 , etc.

Prompt Engineering 245

Prompt Engineering Prompt Engineer Python NLP 245

Unite.AI

JUNE 5, 2024

Understanding Model Quantization Model quantization is a technique fundamental for reducing the memory footprint and computational demands of neural network models. Among the optimization techniques, pruning emerges as a powerful strategy involving the selective removal of components from a neural network.

AI Development 144

AI Development AI Developer Neural Network Natural Language Processing 144

Unite.AI

SEPTEMBER 26, 2024

It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural networks. This move was vital in reducing development costs and encouraging innovation. The desire to cut costs could compromise the quality of AI solutions. This was a game-changer.

AI 144

AI AI Neural Network Data Quality 144