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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

Generative AI auto-summarization creates summaries that employees can easily refer to and use in their conversations to provide product, service or recommendations (and it can also categorize and track trends). Watsonx.governance is providing an end-to-end solution to enable responsible, transparent and explainable AI workflows.

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How to Use Hugging Face Pipelines?

Towards AI

Let me explain. Zero-Shot Classification Imagine you want to categorize unlabeled text. Our model gets a prompt and auto-completes it. Transformers is a library in Hugging Face that provides APIs and tools. It allows you to easily download and train state-of-the-art pre-trained models. Let’s have a look at a few of these.

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Training a Custom Image Classification Network for OAK-D

PyImageSearch

def callbacks(): # build an early stopping callback and return it callbacks = [ tf.keras.callbacks.EarlyStopping( monitor="val_loss", min_delta=0, patience=2, mode="auto", ), ] return callbacks On Lines 12-22 , the function callbacks defines an early stopping callback and returns it. def normalize_layer(factor=1./127.5): That’s not the case.

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Introduction to Graph Neural Networks

Heartbeat

These tasks require the model to categorize edge types or predict the existence of an edge between two given nodes. Each component the of graph (like the edges, nodes or the complete graph) can store information. This complete process is looped through multiple times. We pay our contributors, and we don’t sell ads.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

To address these challenges, parent document retrievers categorize and designate incoming documents as parent documents. When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account. This identity is called the AWS account root user.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

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. Define and explain selection bias? It is the discounting of those subjects that did not complete the trial.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

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###