Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. Machine learning(ML) is evolving at a very fast pace. Photo by Andrea De Santis on Unsplash So, What is Machine Learning?

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AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime.

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance. What is Machine Learning?

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Data Science Dojo

SEPTEMBER 8, 2023

Machine Learning and Deep Learning: The Power Duo Machine Learning (ML) and Deep Learning (DL) are two critical branches of AI that bring exceptional capabilities to predictive analytics. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Streamline operations. Mitigate risks.

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The MLOps Blog

AUGUST 11, 2023

There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. What are ML pipeline architecture design patterns?

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Flipboard

NOVEMBER 17, 2023

Amazon SageMaker enables enterprises to build, train, and deploy machine learning (ML) models. Amazon SageMaker JumpStart provides pre-trained models and data to help you get started with ML. This type of data is often used in ML and artificial intelligence applications.

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AWS Machine Learning Blog

MAY 8, 2023

SageMaker provides single model endpoints (SMEs), which allow you to deploy a single ML model, or multi-model endpoints (MMEs), which allow you to specify multiple models to host behind a logical endpoint for higher resource utilization. About the Authors Melanie Li is a Senior AI/ML Specialist TAM at AWS based in Sydney, Australia.

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Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. Speech and Language Processing.

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Dataconomy

FEBRUARY 28, 2024

Unlike traditional software that sticks to rigid instructions, ML systems analyze data and identify patterns. Dialogflow gives you the tools for granular control, thanks to its powerful natural language processing capabilities Sales and marketing Another area where you can integrate AI at work is sales and marketing.

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Heartbeat

JANUARY 31, 2024

By definition, it is the process of breaking down given text in natural language processing into the smallest unit in a sentence, called a token. If you want to explore more about tokenization, then check out these sources: What is NLP (Natural Language Processing) Tokenization?

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

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DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Performance and Scalability Consider the platform's training speed and inference efficiency.

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AWS Machine Learning Blog

OCTOBER 21, 2024

When creating agents that use action groups , you can specify your function definitions as a JSON object to the agent or provide an API schema in the OpenAPI schema format. Make sure the functions have proper natural language descriptions, because your agent will use them to understand when to use each function.

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Becoming Human

JUNE 14, 2023

One area in which Google has made significant progress is in natural language processing (NLP), which involves understanding and interpreting human language. With its resources and commitment to innovation, Google is definitely one of the companies to watch in the AI development space.

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Towards AI

AUGUST 16, 2023

In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. Therefore, I thought it would be helpful to give a complete description of the AI engineering process or AI Process, which is described in most AI/ML textbooks [5][6].

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AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. Although these traditional machine learning (ML) approaches might perform decently in terms of accuracy, there are several significant advantages to adopting generative AI approaches.

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AWS Machine Learning Blog

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.

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Towards AI

AUGUST 28, 2023

Apply these concepts to solve real-world industry problems in deep learning Taking a step away from classical machine learning (ML), embeddings are at the core of most deep learning (DL) use cases. Embeddings have created a notable impact on several areas of applications today, including Large Language Models (LLMs).

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Pickl AI

JULY 12, 2024

This section delves into its foundational definitions, types, and critical concepts crucial for comprehending its vast landscape. Here are a few of the key concepts that you should know: Machine Learning (ML) This is a type of AI that allows computers to learn without being explicitly programmed.

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AWS Machine Learning Blog

APRIL 18, 2023

To improve this experience for its members, we at RallyPoint wanted to explore how machine learning (ML) could help. For the definitions of all available offline metrics, refer to Metric definitions. If you’d like to collaborate with experts to bring ML solutions to your organization, contact the Amazon ML Solutions Lab.

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AWS Machine Learning Blog

APRIL 17, 2023

You can integrate a Data Wrangler data preparation flow into your machine learning (ML) workflows to simplify data preprocessing and feature engineering, taking data preparation to production faster without the need to author PySpark code, install Apache Spark, or spin up clusters. Choose Add Step and choose Custom Transform.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Keep documentation of processing rules thorough and up to date, fostering a transparent environment for all stakeholders.

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Mlearning.ai

MARCH 13, 2023

Sample Demographics Breakdown The rise of Artificial Intelligence (AI) and Natural Language Processing (NLP) has transformed the world of marketing in ways that were unimaginable just a few years ago. ChatGPT, a large language model trained by OpenAI, is one such tool that is changing the game for marketers.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently.

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Smart Data Collective

JULY 23, 2021

If you’ve been looking for ways to boost your live broadcast strategies, this is definitely a great way to do it! To perform its function , a chatbot will use advanced machine learning and natural language processing algorithms. Quality chatbots have definitely changed the game. What Is a Chatbot?

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AWS Machine Learning Blog

OCTOBER 11, 2024

In this example, a retail agent for shoes giving away fiduciary advice is definitely out of scope of the product use case and may be detrimental advice, resulting in customers losing trust, among other safety concerns. His area of research is all things natural language (like NLP, NLU, and NLG).

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Mlearning.ai

FEBRUARY 9, 2023

11 key differences in 2023 Photo by Jan Tinneberg on Unsplash Working in Data Science and Machine Learning (ML) professions can be a lot different from the expectation of it. While pursuing education in the field, the nature of the problems you solve as a part of a course project might be different compared to the real world.

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AWS Machine Learning Blog

MAY 13, 2024

Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline. We benchmark the results with a metric used for evaluating summarization tasks in the field of natural language processing (NLP) called Recall-Oriented Understudy for Gisting Evaluation (ROUGE).

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. with a default value of 1.0.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. This process involves the utilization of both ML and non-ML algorithms.

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DagsHub

OCTOBER 23, 2024

Managing unstructured data is essential for the success of machine learning (ML) projects. This article will discuss managing unstructured data for AI and ML projects. You will learn the following: Why unstructured data management is necessary for AI and ML projects. How to properly manage unstructured data.

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AWS Machine Learning Blog

JANUARY 12, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. Make time to assess AWS AI/ML services that your organization hasn’t used yet and foster a culture of experimentation. Overview of solution.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

Here are some key definitions, benefits, use cases and finally a step-by-step guide for integrating AI into your next marketing campaign. AI marketing platforms can create AI marketing strategies and analyze data faster than humans using ML algorithms and recommend actions informed by sentiment analysis from historical customer data.

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Pickl AI

JULY 22, 2024

Check: Best Machine Learning Frameworks for ML Experts in 2024. Natural Language Processing (NLP) In NLP , probabilistic models enhance text understanding and generation. In contrast, deterministic models provide a single, definitive outcome without considering variability.

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Mlearning.ai

JUNE 23, 2023

Options (Free vs Paid) Closing Introduction In today’s increasingly globalized world, the ability to communicate in multiple languages has become a highly valuable skill. Language Models (LLMs) have revolutionized the field of natural language processing, bringing unprecedented advancements in understanding and generating human-like text.

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Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). The AI generates questions asking for the definition of the vocabulary that made it to the end after the entire filtering process.

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Applied Data Science

MARCH 11, 2022

Gamification There are many definitions for what a game is. Here, we are interested in the formal definition born in economics and used in computer science: In a game, two or more agents, are interacting by performing actions, which give them rewards. . Language as a game: the field of Emergent Communication Firstly, what is language?

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