Analytics Vidhya

JUNE 5, 2023

These gargantuan neural networks have revolutionized how machines learn and generate human language, propelling the boundaries of what was once thought possible.

Large Language Models 290

Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 290

AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

BERT 114

BERT Automation Neural Network Machine Learning 114

AssemblyAI

MAY 3, 2023

These architectures are based on artificial neural networks , which are computational models loosely inspired by the structure and functioning of biological neural networks, such as those in the human brain. A simple artificial neural network consisting of three layers.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. This is crucial for ensuring AI technology is used in a way that is ethical and beneficial to society.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. Sessions on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) started gaining popularity, marking the beginning of data sciences shift toward AI-driven methods.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Unite.AI

DECEMBER 13, 2024

Artificial intelligence (AI) fundamentally transforms how we live, work, and communicate. Large language models (LLMs) , such as GPT-4 , BERT , Llama , etc., have introduced remarkable advancements in conversational AI , delivering rapid and human-like responses.

LLM 246

LLM Neural Network Chatbots AI 246

NVIDIA

FEBRUARY 11, 2025

Like the prolific jazz trumpeter and composer, researchers have been generating AI models at a feverish pace, exploring new architectures and use cases. No Labels, Lots of Opportunity Foundation models generally learn from unlabeled datasets, saving the time and expense of manually describing each item in massive collections.

Neural Network 55

Neural Network Large Language Models Robotics BERT 55

Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. The final course, “Trustworthy Generative AI,” is an 8-hour journey into ensuring reliability and trust in AI outputs.

Prompt Engineering 267

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 267

Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. These models, characterized by their lightweight neural networks, fewer parameters, and streamlined training data, are questioning the conventional narrative.

Large Language Models 215

Large Language Models BERT Neural Network Natural Language Processing 215

Unite.AI

DECEMBER 27, 2023

Generative AI is an evolving field that has experienced significant growth and progress in 2023. Generative AI has tremendous potential to revolutionize various industries, such as healthcare, manufacturing, media, and entertainment, by enabling the creation of innovative products, services, and experiences.

Generative AI 215

Generative AI Chatbots Large Language Models OpenAI 215

Unite.AI

AUGUST 1, 2023

Prompt 1 : “Tell me about Convolutional Neural Networks.” ” Response 1 : “Convolutional Neural Networks (CNNs) are multi-layer perceptron networks that consist of fully connected layers and pooling layers. They are commonly used in image recognition tasks. .”

Prompt Engineering 246

Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

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.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

Marktechpost

DECEMBER 5, 2023

Small Language Models, which are compact generative AI models, are distinguished by their small neural network size, number of parameters, and volume of training data. As an alternative, Small Language Models (SLMs) have started stepping in and have become more potent and adaptable.

BERT 132

BERT Large Language Models Neural Network Natural Language Processing 132

Mlearning.ai

JANUARY 17, 2024

Each section of this story comprises a discussion of the topic plus a curated list of resources, sometimes containing sites with more lists of resources: 20+: What is Generative AI? 95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

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. 20212022: Transformer-based models took center stage, with GPT-3 driving conversations around text generation.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

AWS Machine Learning Blog

FEBRUARY 6, 2024

We address this skew with generative AI models (Falcon-7B and Falcon-40B), which were prompted to generate event samples based on five examples from the training set to increase the semantic diversity and increase the sample size of labeled adverse events.

Large Language Models 113

Large Language Models BERT NLP Data Scientist 113

AWS Machine Learning Blog

AUGUST 30, 2023

To solve this problem, we propose the use of generative AI, a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. This solution involves fine-tuning the FLAN-T5 XL model, which is an enhanced version of T5 (Text-to-Text Transfer Transformer) general-purpose LLMs.

Generative AI 128

Generative AI LLM Python ML 128

Marktechpost

JULY 22, 2024

The integration of LLMs with external data sources and applications has emerged as a promising approach to address these challenges, aiming to improve accuracy, relevance, and computational capabilities while maintaining the models’ core strengths in language understanding and generation.

Large Language Models 124

Large Language Models Neural Network Natural Language Processing LLM 124

AssemblyAI

SEPTEMBER 22, 2023

Last year’s emergence of user-friendly interfaces for models like DALL-E 2 or Stable Diffusion for images and ChatGPT for text generation was key to boost the world’s attention to generative AI. It was pre-trained to generate masked tokens in speech and fine-tuned on 8,200 hours of music.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

AssemblyAI

MAY 23, 2023

Neural Networks and Transformers What determines a language model's effectiveness? The performance of LMs in various tasks is significantly influenced by the size of their architectures, which are based on artificial neural networks. A simple artificial neural network with three layers.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

AssemblyAI

SEPTEMBER 18, 2023

They use neural networks that are inspired by the structure and function of the human brain. Read Introduction to Large Language Models for Generative AI. BERT BERT stands for Bidirectional Encoder Representations from Transformers, and it's a large language model by Google. Want to dive deeper?

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130

Unite.AI

APRIL 2, 2024

While these methods can yield good results for particular issues, they often struggle to generalize across different types of degradation. Many frameworks employ a generic neural network for a wide range of image restoration tasks, but these networks are each trained separately.

Computer Vision 130

Computer Vision Neural Network Convolutional Neural Networks Deep Learning 130

Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. a social media post or product description).

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

ODSC - Open Data Science

JUNE 9, 2023

The 1970s introduced bell bottoms, case grammars, semantic networks, and conceptual dependency theory. In the 90’s we got grunge, statistical models, recurrent neural networks and long short-term memory models (LSTM). It uses a neural network to learn the vector representations of words from a large corpus of text.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. About the Authors Sujitha Martin is an Applied Scientist in the Generative AI Innovation Center (GAIIC).

Large Language Models 117

Large Language Models Natural Language Processing LLM Computer Vision 117

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., These networks generalize well to unseen scenes and objects, render views from just a single or a few input images, and only need a few observations per scene for training.

Neural Network 98

Neural Network BERT Large Language Models Artificial Intelligence 98

Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Large Language Models are hard and costly to train for general purposes which causes resource and cost restriction. BERT (Bidirectional Encoder Representations from Transformers) — developed by Google.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. Closely observed and managed, the practice can help scalably evaluate and monitor the performance of Generative AI applications on specialized tasks. However, challenges remain. See what Snorkel option is right for you.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

Mlearning.ai

JUNE 14, 2023

LLMs (Foundational Models) 101: Introduction to Transformer Models Transformers, explained: Understand the model behind GPT, BERT, and T5 — YouTube Illustrated Guide to Transformers Neural Network: A step by step explanation — YouTube Attention Mechanism Deep dive. Transformer Neural Networks — EXPLAINED!

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. 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.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

AWS Machine Learning Blog

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. He specializes in Generative AI, Artificial Intelligence, Machine Learning, and System Design.

Machine Learning 117

Machine Learning Metadata Generative AI ML 117

AWS Machine Learning Blog

APRIL 25, 2024

It uses BERT, a popular NLP technique, to understand the meaning and context of words in the candidate summary and reference summary. The more similar the words and meanings captured by BERT, the higher the BERTScore. It uses neural networks like BERT to measure semantic similarity beyond just exact word or phrase matching.

BERT 125

BERT NLP Algorithm Neural Network 125

Snorkel AI

MARCH 1, 2023

How do foundation models generate responses? Foundation models underpin generative AI capabilities, from text-generation to music creation to image generation. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

AWS Machine Learning Blog

OCTOBER 30, 2024

M5 LLMS are BERT-based LLMs fine-tuned on internal Amazon product catalog data using product title, bullet points, description, and more. Fine-tune the sentence transformer M5_ASIN_SMALL_V20 Now we create a sentence transformer from a BERT-based model called M5_ASIN_SMALL_V2.0. str.split("|").str[0]

BERT 85

BERT Categorization Data Scientist Machine Learning 85

Unite.AI

APRIL 26, 2024

The introduction of the transformer framework proved to be a milestone, facilitating the development of a new wave of language models, including OPT and BERT, which exhibit profound linguistic understanding. The advancements in large language models have significantly accelerated the development of natural language processing , or NLP.

Large Language Models 157

Large Language Models Natural Language Processing Convolutional Neural Networks Neural Network 157

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.

AI Development 52

AI Development AI Developer Computer Vision BERT 52