Flipboard

JULY 4, 2023

Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. The well-known chatbot called ChatGPT, based on GPT architecture and developed by OpenAI, imitates humans by generating accurate and creative content, answering questions, summarizing massive textual paragraphs, and language translation.

Large Language Models 140

Large Language Models Machine Learning Natural Language Processing BERT 140

AssemblyAI

SEPTEMBER 18, 2023

Original natural language processing (NLP) models were limited in their understanding of language. While LLMs offer potential advantages in terms of scalability and cost-efficiency, they also present meaningful challenges, especially concerning data quality, biases, and ethical considerations.

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130

Marktechpost

JANUARY 9, 2025

Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. However, existing models often struggle with noisy training data, limited domain diversity, and inefficiencies in managing multilingual datasets.

Natural Language Processing 82

Natural Language Processing BERT NLP LLM 82

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). We will explore how to better understand the data that these models are trained on, and how to evaluate and optimize them for real-world use. This technique can be highly customizable and can handle complex tokenization requirement.

Large Language Models 78

Large Language Models Machine Learning LLM Natural Language Processing 78

Snorkel AI

OCTOBER 4, 2023

These large-scale neural networks are trained on vast amounts of data to address a wide number of tasks (i.e. natural language processing, image classification, question answering). Data teams can fine-tune LLMs like BERT, GPT-3.5 Speed and enhance model development for specific use cases.

Data Scientist 64

Data Scientist AI Neural Network AI 64

Snorkel AI

OCTOBER 4, 2023

These large-scale neural networks are trained on vast amounts of data to address a wide number of tasks (i.e. natural language processing, image classification, question answering). Data teams can fine-tune LLMs like BERT, GPT-3.5 Speed and enhance model development for specific use cases.

Data Scientist 59

Data Scientist AI Neural Network AI 59

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). Open-Source Models: Open-source models are large language models made available to the public with their source code.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing LLM AI 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

John Snow Labs

SEPTEMBER 24, 2024

Here are some of the key difficulties: Inconsistent Terminology : Variability in how clinicians document information, including abbreviations and jargon, makes data standardization difficult. Data Quality Issues : Clinical notes often contain errors, incomplete information, or non-standardized text, affecting extraction accuracy.

NLP 52

NLP Data Analysis Natural Language Processing BERT 52

Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

Snorkel AI

OCTOBER 4, 2023

These large-scale neural networks are trained on vast amounts of data to address a wide number of tasks (i.e. natural language processing, image classification, question answering). Data teams can fine-tune LLMs like BERT, GPT-3.5 Speed and enhance model development for specific use cases.

Data Scientist 52

Data Scientist AI AI Neural Network 52

Heartbeat

OCTOBER 12, 2023

The Rise of Large Language Models The emergence and proliferation of large language models represent a pivotal chapter in the ongoing AI revolution. These models, powered by massive neural networks, have catalyzed groundbreaking advancements in natural language processing (NLP) and have reshaped the landscape of machine learning.

Large Language Models 59

Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). 6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. As models are scaled up, ensuring data quality at scale becomes more challenging. Why is it important?  

NLP 52

NLP ML BERT Computational Linguistics 52

Unite.AI

SEPTEMBER 26, 2024

The momentum continued in 2017 with the introduction of transformer models like BERT and GPT, which revolutionized natural language processing. AI can also increase biases if trained on biased data, leading to unfair outcomes. This move was vital in reducing development costs and encouraging innovation.

AI 147

AI AI Neural Network Data Quality 147

Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. One of the most successful approaches here is instruction fine-tuning.

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105