AWS Machine Learning Blog

MAY 2, 2024

We can categorize human feedback into two types: objective and subjective. Unlike traditional model tasks such as classification, which can be neatly benchmarked on test datasets, assessing the quality of a sprawling conversational agent is highly subjective. One epoch means one complete pass through all training samples.

LLM 82

LLM Auto-complete Auto-classification Artificial Intelligence 82

AWS Machine Learning Blog

NOVEMBER 22, 2023

If you’re not actively using the endpoint for an extended period, you should set up an auto scaling policy to reduce your costs. SageMaker provides different options for model inferences , and you can delete endpoints that aren’t being used or set up an auto scaling policy to reduce your costs on model endpoints.

IDP 81

IDP Auto-classification Machine Learning Auto-complete 81

Mlearning.ai

MAY 23, 2023

Once the exploratory steps are completed, the cleansed data is subjected to various algorithms like predictive analysis, regression, text mining, recognition patterns, etc depending on the requirements. It is the discounting of those subjects that did not complete the trial. Classification is very important in machine learning.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

AWS Machine Learning Blog

JULY 31, 2023

In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. Cost-sensitive classification – In some applications, the cost of misclassification for different classes can be different.

Auto-classification 80

Auto-classification Machine Learning ML Auto-complete 80

AWS Machine Learning Blog

NOVEMBER 16, 2023

Answers can come in the form of categorical, continuous value, or binary responses. In your application, take time to imagine the diverse set of questions available in your images to help your classification or regression task. In social media platforms, photos could be auto-tagged for subsequent use.

ML 87

ML Machine Learning Computer Vision Auto-classification 87

AWS Machine Learning Blog

SEPTEMBER 6, 2023

What is Llama 2 Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Write a response that appropriately completes the request.nn### Instruction:nWhen did Felix Luna die?nn### Write a response that appropriately completes the request.nn### Instruction:nWhat is an egg laying mammal?nn###

Auto-complete 97

Auto-complete Machine Learning ML Python 97

Heartbeat

DECEMBER 27, 2023

Use Case To drive the understanding of the containerization of machine learning applications, we will build an end-to-end machine learning classification application. The dataset has four categorical features, classified into nominal and ordinal. image { width: 95%; border-radius: 1%; height: auto; }.form-header

Machine Learning 52

Machine Learning Python ML Categorization 52

The MLOps Blog

JUNE 6, 2023

Complete ML model training pipeline workflow | Source But before we delve into the step-by-step model training pipeline, it’s essential to understand the basics, architecture, motivations, challenges associated with ML pipelines, and a few tools that you will need to work with. Let’s get started! Define the preprocessing steps.

ML 52

ML Machine Learning Auto-classification Auto-complete 52

AWS Machine Learning Blog

NOVEMBER 1, 2023

Key strengths of VLP include the effective utilization of pre-trained VLMs and LLMs, enabling zero-shot or few-shot predictions without necessitating task-specific modifications, and categorizing images from a broad spectrum through casual multi-round dialogues.

Auto-classification 92

Auto-classification LLM Auto-complete Generative AI 92

AWS Machine Learning Blog

NOVEMBER 30, 2023

Optimized for handling categorical variables. In HPO mode, SageMaker Canvas supports the following types of machine learning algorithms: Linear learner: A supervised learning algorithm that can solve either classification or regression problems. This is a binary classification problem. Otherwise, it chooses ensemble mode.

Machine Learning 88

Machine Learning Neural Network Algorithm Auto-classification 88