Remove price mask-network
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Portfolio optimization through multidimensional action optimization using Amazon SageMaker RL

AWS Machine Learning Blog

Action masking is an approach to solve RL problems that involve inadmissibility constraints in a sample efficient manner. As the name suggests, it involves masking any inadmissible actions by setting their sampling probability to zero. The following figure depicts the RL cycle with action masking. self.tvec+4*np.cos(2*math.pi*self.tvec/16)

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How ChatGPT actually works

AssemblyAI

For example, a model designed to predict stock market prices might have an objective function that measures the accuracy of the model's predictions. If the model is able to accurately predict the movement of stock prices over time, it would be considered to have a high level of capability for this task.

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A Guide to Mastering Large Language Models

Unite.AI

Unlike traditional NLP models which rely on rules and annotations, LLMs like GPT-3 learn language skills in an unsupervised, self-supervised manner by predicting masked words in sentences. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words.

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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

AWS Machine Learning Blog

Each DL2q instance has 96 vCPUs, a system memory capacity of 768 GB and supports a networking bandwidth of 100 Gbps as well as Amazon Elastic Block Store (Amazon EBS) storage of 19 Gbps. The cores are interconnected with a high-bandwidth low-latency network-on-chip (NoC) mesh. sentence = "The dog [MASK] on the mat."

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CVAT: Computer Vision Annotation Tool – 2024 Guide

Viso.ai

For training deep neural networks that are the core of AI vision, data scientists and computer vision professionals depend on a large amount of annotated data. It’s easy to balance the price and quality of the work. Internal data annotation tools like CVAT to efficiently annotate images and speed up the process.

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SF Event Recommender using LLMs

Mlearning.ai

def generate_prompt(event): prompt = """Extract information from the event below and store it into a JSON with the following structure {venue: venue_name, date: date_and_time, age: age_requirement, price: price, location: address}""" + ' and enclose each key and value in the JSON structure with double quotes.'

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What are the Different Types of Transformers in AI

Mlearning.ai

Understanding the biggest neural network in Deep Learning Join 34K+ People and get the most important ideas in AI and Machine Learning delivered to your inbox for free here Deep learning with transformers has revolutionized the field of machine learning, offering various models with distinct features and capabilities.