AWS Machine Learning Blog

MAY 5, 2023

CLIP is not trained on retail or fashion-specific data, so this won’t be perfect, but it can save you in labeling and annotation costs. In the Workers section, choose the type of workforce you would like to use. Specify an S3 path for Output dataset location. For IAM Role , choose Enter a custom IAM role ARN , then enter the role ARN.

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Metadata Computer Vision Machine Learning Data Scientist 75

Heartbeat

MARCH 6, 2023

In this tutorial, you will use the Fashion MNIST dataset that contains 72K grayscale images of clothes belonging to 10 categories. Data Loading The Fashion MNIST dataset can be accessed directly from Keras. library(keras) library(cometr) library(tidyr) To download the Fashion MNIST dataset, add the following code to your R script.

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Mlearning.ai

MAY 13, 2023

In the next 3 sections we will explore these AI concepts in general. Discover stylish designs that seamlessly blend fashion and function. Background Generation: Captivating Visuals at Your Fingertips Imagine an online fashion retailer specializing in bags and accessories and looking to promote its summer collection.

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AWS Machine Learning Blog

MARCH 27, 2024

Similarly, it can aid in design across various industries such as manufacturing, fashion design in retail, and game design by streamlining the generation of graphics and illustrations. In the Hyperparameters section, provide values for the following: Number of steps – The number of times the model is exposed to each batch.

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Prompt Engineer Prompt Engineering Data Scientist Machine Learning 86

John Snow Labs

AUGUST 12, 2023

The patient was prepped and draped in the usual sterile fashion. In the following sections, we are going to show how to use this annotator and give some examples. Here we will use one example, and in the next section we will show the obtained results on different inputs. The patient was placed in dorsal lithotomy position.

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NLP Large Language Models Natural Language Processing Data Scientist 52

AWS Machine Learning Blog

MAY 16, 2024

LotteON operates various specialty stores, including fashion, beauty, luxury, and kids, and strives to provide a personalized shopping experience across all aspects of customers’ lifestyles. Although NCF has a simple model architecture, it has shown a good performance, which is why we chose it to be the prototype for our MLOps platform.

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AWS Machine Learning Blog

OCTOBER 2, 2023

In the following sections, we discuss the details for each step and show how to embed this process into an automated and repeatable orchestration and CI/CD workflow for both the ML models and corresponding inference code. Inference – Load the model and run inference code for image predictions.

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Automation DevOps ML Machine Learning 89

PyImageSearch

OCTOBER 2, 2023

Using the renowned Fashion-MNIST dataset, we’ll guide you through understanding its nuances. The highlight will be the VAE training on the Fashion-MNIST data, followed by a detailed post-training analysis. This limitation was evident in experiments conducted on datasets like Fashion-MNIST.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Furthermore, several new functionalities have been added in an automated fashion to our ML setup. Please leave any feedback or questions in the comments section. This is made possible by automating tedious, repetitive MLOps tasks as part of the template. About the Authors Dr. Björn Blomqvist is the Head of AI Strategy at Axfood AB.

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AWS Machine Learning Blog

AUGUST 2, 2023

Fine-tuning the model on custom fashion data such as fashion images along with text describing the attributes of fashion products can be used to generate metadata that then improves a user’s search experience. GenAI-based image captioning is particularly useful for automating this laborious process.

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Automation Generative AI Metadata Data Scientist 71

Flipboard

JUNE 20, 2023

The results are reported in the following sections. Conclusion There is a common misconception that running ML workloads in a sustainable and energy-efficient fashion means sacrificing on performance or cost. Therefore, we used common customer-inspired ML use cases for benchmarking and testing.

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AWS Machine Learning Blog

MAY 9, 2024

In the following sections, we discuss each numbered component in detail. The CoE helps make sure that models are developed and deployed in a safe, trustworthy, and ethical fashion. In this section, we discuss several key aspects aimed at driving successful integration while upholding workload performance.

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Jay Alammar

OCTOBER 3, 2022

This process happens in a step-by-step fashion. In the next sections we’ll describe how text is incorporated in the process in order to control what type of image the model generates. Each step adds more relevant information. Visual inspection in this case is passing it through the image decoder.

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Marktechpost

JUNE 24, 2023

Researchers further stipulate that the sketch-based detector also operates in a zero-shot fashion, increasing the system’s novelty. In the sections that follow, they detail how they switch object detection from a closed-set to an open-vocab configuration. The findings are superior to SOD and WSOD in a zero-shot setting.

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AWS Machine Learning Blog

MAY 7, 2024

In the following sections, we focus on the prompt engineering techniques required for extractive use cases. To start, use the Llama-2-70b-chat model you deployed in the previous section: inference_instance_type = "ml.g5.48xlarge" # Llama-2-70b chat model_id, model_version = "meta-textgeneration-llama-2-70b-f", "2.*"

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Prompt Engineer Prompt Engineering Large Language Models LLM 92

Explosion

APRIL 27, 2023

[nlp] lang = "en" pipeline = ["tok2vec", "relation_extractor"] disabled = [] before_creation = null after_creation = null after_pipeline_creation = null tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} batch_size = 1000 Typically, there is an [nlp] section that defines the language and the components of your pipeline.

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Topbots

OCTOBER 10, 2023

section 5), which is closely intertwined with the task of creating fine-tuning data. In the next section, we will look at fine-tuning, integrating additional information from memory and semantic search, and connecting agents to your conversational system to empower it to execute specific tasks. section 2) and a pre-trained LLM.

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Large Language Models Conversational AI UX Design LLM 59

Heartbeat

JANUARY 26, 2024

LangChain (Image Credit: ALEX XU on blog.bytebytego.com ) Memory Strategies in Lang Chain Given a context that when a customer inquires about the customer service of a fashion store and expresses a problem with the jeans. The AI sticks to information in the 'Relevant Information' section and doesn't make things up.

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Metadata LLM OpenAI Chatbots 52

Flipboard

JUNE 20, 2023

Instead of a single prompt for an entire blog post, start with the introduction, then ask for each subsequent section. By pretending to be, say, a fashion influencer, ChatGPT can provide you with unexpected tips on styling summer wear, giving your content that extra edge. Can you fill in the details?”

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ChatGPT Explainability Large Language Models AI Strategy 116

PyImageSearch

JULY 17, 2023

Ready to check out the Fashion-MNIST dataset? Jump Right To The Downloads Section Configuring Your Development Environment To follow this guide, you need to have torch , torchvision , tqdm , and matplotlib libraries installed on your system. train.py : This training script trains the vanilla autoencoder on the Fashion-MNIST dataset.

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AWS Machine Learning Blog

MAY 4, 2023

To learn more about what AWS customers are doing with generative AI and fashion, refer to Virtual fashion styling with generative AI using Amazon SageMaker. In the Deploy Model section, expand Deployment Configuration. In the Deploy Model section, expand Deployment Configuration.

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Generative AI Machine Learning AI AI 76

AWS Machine Learning Blog

SEPTEMBER 18, 2023

In the next section, we highlight key code snippets from each step. In this section, we only highlight Step 3, because this is the part that involves parallel processing of the ingestion task using Ray. Let’s look at sections of the scripts that perform this data preprocessing. get("OfflineStoreConfig").get("S3StorageConfig").get("ResolvedOutputS3Uri")

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Machine Learning ML Python Auto-complete 100

AWS Machine Learning Blog

MAY 22, 2023

Models can also be trained in a supervised fashion using labeled data to accomplish a set of tasks (for example, is this movie review positive, negative, or neutral). In this section, we first walk through some general setup. It can be run in Studio or locally. Then you fine-tune the model using the SQuADv2 datasets.

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Natural Language Processing Machine Learning Computational Linguistics NLP 89

Explosion

DECEMBER 14, 2021

Section 1: Introducing Healthsea ? Section 4: Clausecat 1.1 Section 2: Understanding the problem 4.3 Evaluation ✨ Section 3: Named Entity Recognition ⚙️ Section 5: Healthsea in production 3.1 Section 2: Understanding the problem 4.3 Section 1: Introducing Healthsea 1.1 Clause Segmentation 1.2

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AWS Machine Learning Blog

APRIL 10, 2023

You can use inpainting for restoring degraded images or creating new images with novel subjects or styles in certain sections. The following sections guide you through deploying the model and running inference using either the Studio UI or the JumpStart APIs. Utilize a mask image that closely resembles the image you aim to inpaint.

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Algorithm Deep Learning Python ML 79

PyImageSearch

SEPTEMBER 18, 2023

Start by accessing this tutorial’s “Downloads” section to retrieve the source code and example images. Getting Individual Objects from Image In this section, we discuss how we can extract different objects in our input image so we can use them later for performing our downstream recognition and retrieval tasks.

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Computer Vision Deep Learning AI AI 67

AssemblyAI

JUNE 27, 2023

The next two sections cover the first important examples, with tokenization, quantization, and vectorization techniques being applied to learning discrete representations of audio features. Let’s explore the key ideas behind the latest TTS and TTM models in the next two sections. The architecture of NaturalSpeech 2 ( source ).

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Snorkel AI

APRIL 25, 2023

What we are trying to do here through DataPerf is try and bring all of this collective wisdom that is starting to show up in the industry and try and pull it together in a coherent fashion to drive the industry forward. Of course, that’s just the data side. I’ll leave you with these links if you are interested in joining.

Machine Learning 52

Machine Learning Algorithm ML AI 52

Snorkel AI

APRIL 25, 2023

What we are trying to do here through DataPerf is try and bring all of this collective wisdom that is starting to show up in the industry and try and pull it together in a coherent fashion to drive the industry forward. Of course, that’s just the data side. I’ll leave you with these links if you are interested in joining.

Machine Learning 52

Machine Learning Algorithm ML AI 52

Chatbots Life

MAY 12, 2023

The hypothesis as to why such training was particularly effective is explained in the next section. However, by training a model in an unsupervised fashion we are able to use the abundance of data that humans have generated and leverage knowledge transfer between various tasks.

ChatGPT 105

ChatGPT Software Engineer NLP Prompt Engineer 105

Towards AI

MARCH 28, 2023

Image Preprocessing In this section, we will dive into the image preprocessing and scaling pipeline. Multi-task Resnet34 with Attention-based pooling Sequence-based custom encoder-decoder setup : Pre-trained image encoder (Efficientnet-b5) + Long short term memory (LSTM) decoder.

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Flipboard

SEPTEMBER 4, 2023

TensorFlow The container runtime for TensorFlow acts as a simple method to quickly experiment or iterate with TensorFlow in a throwaway fashion. Skip over the next section to see how you can install Docker Desktop for a GUI-based interface. Some notable examples include the following.

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Chatbots Life

MAY 13, 2023

Blogging & Writing Prompts Create titles for any of your creative writing projects Titles for my short story collection: [your article] Create outlines Outline for an essay on exercise Generate content ideas Ideas for a blog on sustainable fashion? your script] Video ideas on any topic I want to make a series of videos about fashion.

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ChatGPT Chatbots Explainability Software Engineer 95

AssemblyAI

DECEMBER 6, 2022

We will look at the actual reason why these differences exist in the first section, but if you want to get straight to the practical differences, you can jump down the Negative Prompts section. section for an understanding of the full picture. Let's get started! was released. compared to 1.5. was released. compared to 1.5.

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Prompt Engineer Prompt Engineering OpenAI Chatbots 162

AssemblyAI

DECEMBER 2, 2022

Using the Summarization Models You can check out this Colab notebook to see how to use the new Summarization models with Python, or move on to the next section to test them in a no-code fashion. Using the new Summarization models is as simple as sending a POST request to the AssemblyAI API.

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AI Modeling AI AI Python 130

Unite.AI

FEBRUARY 7, 2024

Getting Started with Skylum Luminar Neo In this section, I will show you how I created an account and downloaded Skylum Liminar Neo so you can also get started. This is great for stylized fashion shoots, urban images, and grungy athletic portraits. Real estate agents: Make your listings pop by enhancing color and lighting.

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Topbots

SEPTEMBER 11, 2023

Figure 1: The mental model of an AI system The following sections will briefly describe each of the components, focussing on parts that are specific to AI products. Often, these requirements are picked up in an ad-hoc fashion as they come up during user research, ideation, development, and operation of AI capabilities.

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