Artificial Intelligence, BERT, Data Quality and Large Language Models

Best Large Language Models & Frameworks of 2023

AssemblyAI

SEPTEMBER 18, 2023

Few technological advancements have captured the imagination, curiosity, and application of experts and businesses quite like artificial intelligence (AI). However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Want to dive deeper?

Large Language Models

Large Language Models BERT LLM Auto-complete

Everything About Vector Databases – Their Significance, Vector Embeddings, and Top Vector Databases for Large Language Models (LLMs)

Flipboard

JULY 4, 2023

Large Language Models have shown immense growth and advancements in recent times. The field of Artificial Intelligence is booming with every new release of these models. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans.

Large Language Models

Large Language Models Machine Learning Natural Language Processing BERT

LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs).

Machine Learning

Machine Learning Large Language Models LLM BERT

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

A Guide to LLMOps: Large Language Model Operations

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). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

Large Language Models

Large Language Models Natural Language Processing LLM Machine Learning

Beyond Text: Multi-Modal Learning with Large Language Models

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

Large Language Models

Large Language Models Neural Network Artificial Intelligence Artificial Intelligence

Large Language Models: A Complete Guide

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). This technique is commonly used in neural network-based models such as BERT, where it helps to handle out-of-vocabulary words. There are several pre-trained LLMs available that can be used for transfer learning, such as GPT-2, BERT, and RoBERTa.

Large Language Models

Large Language Models Machine Learning LLM Natural Language Processing

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Unite.AI

APRIL 26, 2024

The advancements in large language models have significantly accelerated the development of natural language processing , or NLP. More recent frameworks like LLaMA and BLIP leverage tailored instruction data to devise efficient strategies that demonstrate the potent capabilities of the model.

Large Language Models

Large Language Models Natural Language Processing Convolutional Neural Networks Neural Network

This AI Paper Propose AugGPT: A Text Data Augmentation Approach based on ChatGPT

Marktechpost

NOVEMBER 10, 2023

Recent NLP research has focused on improving few-shot learning (FSL) methods in response to data insufficiency challenges. While these methods enhance model capabilities through architectural designs and pre-trained language models, data quality and quantity limitations persist.

BERT

BERT ChatGPT Large Language Models NLP

This AI Paper from Microsoft and Tsinghua University Introduces Rho-1 Model to Boost Language Model Training Efficiency and Effectiveness

Marktechpost

APRIL 16, 2024

Artificial intelligence, particularly in language processing, has witnessed consistent advancements by scaling model parameters and dataset sizes. Noteworthy progress in language model training has traditionally relied on the extensive application of next-token prediction tasks across all training tokens.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence BERT Data Quality

How AI saves money and improves banking complaint handling

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. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

Large Language Models

Large Language Models AI AI Natural Language Processing

How AI saves money and improves banking complaint handling

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. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

Large Language Models

Large Language Models AI AI Natural Language Processing

How AI saves money and improves banking complaint handling

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. Data quality is essential for the success of any AI project but banks are often limited in their ability to find or label sufficient data.

Large Language Models

Large Language Models AI AI Natural Language Processing

How AI facilitates more fair and accurate credit scoring

Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio.

AI

AI AI Data Scientist Neural Network

How AI facilitates more fair and accurate credit scoring

Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio.

AI

AI AI Data Scientist Neural Network

Four LLM Trends Since ChatGPT And Their Implications For AI Builders

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. Scaling Laws for Neural Language Models. [7] 7] Jason Wei et al.

LLM

LLM ChatGPT Prompt Engineer Prompt Engineering

Deploy large models at high performance using FasterTransformer on Amazon SageMaker

AWS Machine Learning Blog

APRIL 17, 2023

Quantization and compression can reduce model size and serving cost by reducing the precision of weights or reducing the number of parameters via pruning or distillation. Compilation can optimize the computation graph and fuse operators to reduce memory and compute requirements of a model.

Prompt Engineer

Prompt Engineer Prompt Engineering Deep Learning Large Language Models

ML and NLP Research Highlights of 2021

Sebastian Ruder

JANUARY 24, 2022

In speech, new models have been built based on wav2vec 2.0 [6] 6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. At the same time, we saw new unified pre-trained models for previously under-researched modality pairs such as for videos and language [9] as well as speech and language [10].

NLP

NLP ML BERT Computational Linguistics

Artificial Intelligence Zone

Best Large Language Models & Frameworks of 2023

Everything About Vector Databases – Their Significance, Vector Embeddings, and Top Vector Databases for Large Language Models (LLMs)

Webinars

Trending Sources

LLMOps: The Next Frontier for Machine Learning Operations

Webinars

A Guide to LLMOps: Large Language Model Operations

Beyond Text: Multi-Modal Learning with Large Language Models

Large Language Models: A Complete Guide

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

This AI Paper Propose AugGPT: A Text Data Augmentation Approach based on ChatGPT

This AI Paper from Microsoft and Tsinghua University Introduces Rho-1 Model to Boost Language Model Training Efficiency and Effectiveness

How AI saves money and improves banking complaint handling

How AI saves money and improves banking complaint handling

How AI saves money and improves banking complaint handling

How AI facilitates more fair and accurate credit scoring

How AI facilitates more fair and accurate credit scoring

Four LLM Trends Since ChatGPT And Their Implications For AI Builders

Deploy large models at high performance using FasterTransformer on Amazon SageMaker

ML and NLP Research Highlights of 2021

Stay Connected