Unite.AI

DECEMBER 27, 2023

Notable advancements in generative AI have emerged in 2023, including the emergence of generative language models, increased adoption by different sectors, and the rapid growth of generative AI tools. This availability of diverse Gen AI tools reveals new possibilities for innovation and growth.

Generative AI 215

Generative AI Chatbots Large Language Models OpenAI 215

Unite.AI

AUGUST 28, 2023

Tools like Siri, Cortana, and early chatbots simplified user-AI interaction but had limited comprehension and capability. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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Auto-complete ChatGPT Large Language Models Neural Network 240

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. Up-to-Date Industry Topics : Includes the latest developments in AI models and their applications.

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Prompt Engineer Prompt Engineering Large Language Models ChatGPT 267

AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. Neural Networks and Transformers What determines a language model's effectiveness? A simple artificial neural network with three layers. months on average.

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Large Language Models Neural Network LLM Chatbots 130

Marktechpost

JUNE 30, 2023

Artificial Intelligence is evolving with the introduction of Generative AI and Large Language Models (LLMs). Well-known models like GPT, BERT, PaLM, etc., 3D scene understanding is also evolving, enabling the development of geometry-free neural networks that can be trained on a large dataset of scenes to learn scene representations.

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Neural Network BERT Large Language Models Artificial Intelligence 98

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. import torch import torch.nn

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Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Unite.AI

JANUARY 23, 2024

Techniques like Word2Vec and BERT create embedding models which can be reused. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words. BERT produces deep contextual embeddings by masking words and predicting them based on bidirectional context.

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Large Language Models Prompt Engineering Prompt Engineer LLM 100

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.

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Large Language Models Natural Language Processing LLM BERT 98

Viso.ai

JULY 18, 2024

Emergence and History of LLMs Artificial Neural Networks (ANNs) and Rule-based Models The foundation of these Computational Linguistics models (CL) dates back to the 1940s when Warren McCulloch and Walter Pitts laid the groundwork for AI. Both contain self-attention mechanisms and feed-forward neural networks.

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Large Language Models Neural Network Natural Language Processing BERT 52

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. Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc.

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AI Development AI Developer Computer Vision BERT 52

Mlearning.ai

JANUARY 17, 2024

Major milestones in the last few years comprised BERT (Google, 2018), GPT-3 (OpenAI, 2020), Dall-E (OpenAI, 2021), Stable Diffusion (Stability AI, LMU Munich, 2022), ChatGPT (OpenAI, 2022). Complex ML problems can only be solved in neural networks with many layers. Deep learning neural network.

Generative AI 98

Generative AI Prompt Engineering Prompt Engineer Large Language Models 98

Viso.ai

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. 1: Fraud Detection and Prevention No.2:

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Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Pragnakalp

JANUARY 1, 2024

Mistral’s API is designed to seamlessly integrate powerful AI tools into applications, with user-friendly chat interface specifications and available Python and JavaScript client libraries. is the key element that makes generative AI so, well, transformational.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks NLP 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. Data teams can fine-tune LLMs like BERT, GPT-3.5

Data Scientist 64

Data Scientist AI Neural Network AI 64

Viso.ai

JUNE 12, 2024

AI tools have evolved and today they can generate completely new texts, codes, images, and videos. Generative AI is especially good and applicable in 3 major areas: text, images, and video generation. GPT models are based on transformer-based deep learning neural network architecture. billion parameters.

Large Language Models 52

Large Language Models ChatGPT Neural Network Computer Vision 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. Data teams can fine-tune LLMs like BERT, GPT-3.5

Data Scientist 59

Data Scientist Neural Network AI AI 59

Applied Data Science

DECEMBER 23, 2022

Dall-e , and pre-2022 tools in general, attributed their success either to the use of the Transformer or Generative Adversarial Networks. The former is a powerful architecture for artificial neural networks that was originally introduced for language tasks (you’ve probably heard of GPT-3 ?) Who should I follow?

Neural Network 52

Neural Network Data Science AI AI 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. Data teams can fine-tune LLMs like BERT, GPT-3.5

Data Scientist 52

Data Scientist AI AI Neural Network 52

ODSC - Open Data Science

JANUARY 29, 2024

While many of us dream of having a job in AI that doesn’t require knowing AI tools and skillsets, that’s not actually the case. Data Analysis Data analysis is often overlooked, but it’s still an essential skill for interpreting results from AI models and for the iterative process of improving prompt responses.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Science LLM 52

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.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Unite.AI

SEPTEMBER 26, 2024

It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural networks. Then, in 2015, Google released TensorFlow, a powerful tool that made advanced machine learning libraries available to the public. This was a game-changer.

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AI AI Neural Network Data Quality 144

TransOrg Analytics

NOVEMBER 25, 2024

Transformer models, such as OpenAIs GPT or Google’s BERT, can combine insights from these multimodal data streams, offering richer and more accurate predictions. Interpretability and Transparency Generative AI models, particularly deep neural networks, operate as “black boxes.”

Generative AI 52

Generative AI Neural Network Data Quality BERT 52

Bugra Akyildiz

MARCH 24, 2024

Generative AI tools like ChatGPT are powered by neural networks called transformers. In this course, you will learn how transformers work and use Hugging Face’s transformer tools to generate text (with GPT-2) and perform sentiment analysis (with BERT).

Machine Learning 52

Machine Learning Algorithm Data Scientist LLM 52

John Snow Labs

MAY 8, 2024

Moreover integrating LLMs into settings necessitates not technological preparedness but also a change, in the mindset and culture of healthcare providers to accept these sophisticated AI tools as supportive resources, in their diagnostic toolkit.

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Large Language Models Automation NLP Machine Learning 40

Viso.ai

DECEMBER 15, 2023

AI software in music encompasses a variety of capabilities and techniques. Various AI tools are used to solve complex challenges, from comprehending complex musical structures to composing melodies and lyrics. This component is crucial as it enables AI to comprehend music at a level similar to human understanding.

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Computer Vision Deep Learning AI AI 52