AWS Machine Learning Blog

NOVEMBER 30, 2023

The metrics are case insensitive and the values are in the range of 0 (no match) to 1 (perfect match); (2) METEOR score (similar to ROUGE, but including stemming and synonym matching via synonym lists, e.g. “rain” → “drizzle”); (3) BERTScore (a second ML model from the BERT family to compute sentence embeddings and compare their cosine similarity.

Large Language Models 107

Large Language Models Algorithm LLM Responsible AI 107

Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. While these tools are capable of collecting web data, they often do not format the output in a way that LLMs can easily process.

LLM 132

LLM Metadata Data Extraction BERT 132

AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

Large Language Models 96

Large Language Models LLM Machine Learning ML 96

Marek Rei

NOVEMBER 4, 2024

It is probably good to also to mention that I wrote all of these summaries myself and they are not generated by any language models. Are Emergent Abilities of Large Language Models a Mirage? Do Large Language Models Latently Perform Multi-Hop Reasoning? Here we go. NeurIPS 2023. ArXiv 2024.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Towards AI

FEBRUARY 19, 2025

With AI and Large Language Models (LLMs) taking over the world (hopefully not like Skynet 🤖), we need smarter ways to store and retrieve high-dimensional data. Traditional search relies on discrete tokens like keywords, tags, or metadata to retrieve exact matches. Traditional databases? They tap out.

Metadata 70

Metadata Natural Language Processing Machine Learning BERT 70

AWS Machine Learning Blog

APRIL 3, 2024

The following is a high-level overview of how it works conceptually: Separate encoders – These models have separate encoders for each modality—a text encoder for text (for example, BERT or RoBERTa), image encoder for images (for example, CNN for images), and audio encoders for audio (for example, models like Wav2Vec).

Machine Learning 122

Machine Learning Metadata Generative AI ML 122

AWS Machine Learning Blog

MAY 31, 2024

Genomic language models are a new and exciting field in the application of large language models to challenges in genomics. In this blog post and open source project , we show you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud.

Machine Learning 103

Machine Learning Metadata ML Large Language Models 103

AWS Machine Learning Blog

FEBRUARY 1, 2023

With this announcement, you can now easily run large-scale containerized training jobs within Amazon EKS while taking full advantage of the price-performance, scalability, and ease of use offered by Trn1 instances. His interests include large language models, deep reinforcement learning, IoT, and genomics.

Deep Learning 98

Deep Learning BERT Neural Network ML 98

AWS Machine Learning Blog

JUNE 25, 2024

Large language models (LLMs) have transformed the way we engage with and process natural language. These powerful models can understand, generate, and analyze text, unlocking a wide range of possibilities across various domains and industries.

Automation 121

Automation Prompt Engineer Prompt Engineering Categorization 121

The MLOps Blog

FEBRUARY 28, 2023

In this era of large language models (LLMs), monolithic foundation models, and increasingly enormous datasets, distributed training is a must, as both data and model weights very rarely fit on a single machine. You may also like Can GPT-3 or BERT Ever Understand Language?⁠—The

Metadata 69

Metadata Algorithm Large Language Models Deep Learning 69

AWS Machine Learning Blog

JUNE 6, 2023

This post demonstrates the performance and ease of running large-scale, high-performance distributed ML model training and deployment using PyTorch 2.0 These are basically big models based on deep learning techniques that are trained with hundreds of billions of parameters. torch.compile + bf16 + fused AdamW. with up to 3.5

ML 82

ML Deep Learning BERT Python 82

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Bugra Akyildiz

JULY 6, 2024

RemoteLogMetadataManager: An interface for managing the lifecycle of metadata about remote log segments with strongly consistent semantics. The RemoteLogManager determines the targeted remote segment based on the desired offset and leader epoch by querying the metadata store using the RemoteLogMetadataManager.

Computer Vision 52

Computer Vision Metadata Large Language Models BERT 52

Snorkel AI

FEBRUARY 13, 2023

Media Analytics, where we analyze all the broadcast content, as well as live content, that we’re distributing to extract additional metadata from this data and make it available to other systems to create new interactive experiences, or for further insights into how customers are using our streaming services.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

FEBRUARY 13, 2023

Media Analytics, where we analyze all the broadcast content, as well as live content, that we’re distributing to extract additional metadata from this data and make it available to other systems to create new interactive experiences, or for further insights into how customers are using our streaming services.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In order to train transformer models on internet-scale data, huge quantities of PBAs were needed. In November 2022, ChatGPT was released, a large language model (LLM) that used the transformer architecture, and is widely credited with starting the current generative AI boom. 32xlarge 0 16 0 128 512 512 4 x 1.9

ML 95

ML Deep Learning Algorithm Large Language Models 95

Topbots

JUNE 15, 2023

Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. Over a hundred years ago, telegraphy, a revolutionary technology of its time (“the internet of its era”), faced language inequities similar to those we see in today’s large language models.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Sebastian Ruder

NOVEMBER 14, 2022

Models that allow interaction via natural language have become ubiquitious. Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. When is BERT Multilingual? Lucassen, T.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Unite.AI

AUGUST 4, 2023

An important aspect of Large Language Models (LLMs) is the number of parameters these models use for learning. The more parameters a model has, the better it can comprehend the relationship between words and phrases.

Prompt Engineering 245

Prompt Engineering Prompt Engineer Python NLP 245

Bugra Akyildiz

AUGUST 10, 2024

Large models like GPT-3 (175B parameters) or BERT-Large (340M parameters) can be reduced by 75% or more. Quantized models require less memory bandwidth, leading to faster inference. It also enables running sophisticated models on resource-constrained devices.

BERT 59

BERT Large Language Models Categorization Deep Learning 59

Flipboard

MARCH 9, 2023

The AI landscape is being reshaped by the rise of generative models capable of synthesizing high-quality data, such as text, images, music, and videos. A single user might have more than one personalized model. At a minimum, we recommend having two tables: One to store the mapping between users and models.

Generative AI 149

Generative AI Deep Learning ML Metadata 149

AWS Machine Learning Blog

AUGUST 8, 2023

Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance. The second ensemble transforms raw natural language sentences into embeddings and consists of three models.

BERT 91

BERT Deep Learning Auto-classification Python 91