AWS Machine Learning Blog

APRIL 19, 2023

Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. In our case, we chose to use a float[] as the input type and the built-in DJL classifications as the output type. There is also much upcoming with the DJL.

ML 75

ML Deep Learning Python Auto-classification 75

AWS Machine Learning Blog

APRIL 8, 2024

With LMI DLCs on SageMaker, you can accelerate time-to-value for your generative artificial intelligence (AI) applications, offload infrastructure-related heavy lifting, and optimize large language models (LLMs) for the hardware of your choice to achieve best-in-class price-performance.

Auto-complete 84

Auto-complete LLM Deep Learning Auto-classification 84

Snorkel AI

FEBRUARY 27, 2023

This is a platform that supports this new data-centric development loop. This is then used to train models, and those models then power feedback and analyses that guide how to improve the quality of your data and therefore of your models. This could be something really simple.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

This is a platform that supports this new data-centric development loop. This is then used to train models, and those models then power feedback and analyses that guide how to improve the quality of your data and therefore of your models. This could be something really simple.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. GPT-J is a transformer model trained using Ben Wang’s Mesh Transformer JAX. 24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge,

Deep Learning 66

Deep Learning Auto-classification Computer Vision Large Language Models 66

The MLOps Blog

MARCH 23, 2023

These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. These models can easily have millions or up to billions of parameters making them financially expensive to deploy and maintain.

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

Google Research AI blog

JANUARY 18, 2023

Performance comparison between the PaLM 540B parameter model and the prior state-of-the-art (SOTA) on 58 tasks from the Big-bench suite. Using a variety of code completion suggestions from a 500 million parameter language model for a cohort of 10,000 Google software developers using this model in their IDE, we’ve seen that 2.6%

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132