Data Science Dojo

JULY 26, 2023

In this article, we are getting an overview of LLM and some of the best Large Language Models that exist today. AI’s remarkable language capabilities, driven by advancements in Natural Language Processing (NLP) and Large Language Models (LLMs) like ChatGPT from OpenAI, have contributed to its popularity.

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Towards AI

MARCH 21, 2023

When I was younger, I was sure that ML could, if not overperform, at least match the pre-ML-era solutions almost everywhere. I’ve looked at rule constraints in deployment and wondered why not replace them with tree-based ml models. ML algorithms can improve their performance as more data is used for training.

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Flipboard

FEBRUARY 11, 2025

This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts. By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

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Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. keep_active: determines whether to keep the experiment active or not.

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Data Science Dojo

AUGUST 6, 2024

Their ability to uncover feature importance makes them valuable tools for various ML tasks, including classification, regression, and ranking problems. In this article, we will explore the fundamentals of boosting algorithms and their applications in machine learning.

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AWS Machine Learning Blog

NOVEMBER 29, 2024

Use Case Original Prompt Optimized Prompt Performance Improvement Summarization First, please read the article below. 22.03% The consistent improvements across different tasks highlight the robustness and effectiveness of Prompt Optimization in enhancing prompt performance for various natural language processing (NLP) tasks.

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Data Science Dojo

SEPTEMBER 8, 2023

This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. 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. Streamline operations.

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Towards AI

SEPTEMBER 5, 2024

Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. Perfectlord is looking for a few college students from India for the Amazon ML Challenge. Our must-read articles 1. (shamelessly expecting a lot of them!) Learn AI Together Community section!

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This integration combines visual features extracted from images with language models to generate descriptive and contextually relevant captions.

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Dataconomy

DECEMBER 18, 2024

In this article, I explore the impact of AI on the field of cybersecurity, describe potential use cases and their likely effectiveness, discuss challenges related to AI technologies themselves, and reflect on the threats AI poses to the jobs of cybersecurity professionals. But so is its potential for disruption.

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AWS Machine Learning Blog

MAY 28, 2025

The second approach is using SageMaker JumpStart, a machine learning (ML) hub, with foundation models (FMs), built-in algorithms, and pre-built ML solutions. Deploy the model through the SageMaker JumpStart UI SageMaker JumpStart provides a user-friendly interface for deploying pre-built ML models with just a few clicks.

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Flipboard

JUNE 16, 2023

Large language models have increased due to the ongoing development and advancement of artificial intelligence, which has profoundly impacted the state of natural language processing in various fields. They soon plan to release the trained model. Check Out The Paper and GitHub link.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Dataconomy

JUNE 16, 2023

There are many reasons why you should employ an AI tool like this one, and in this article, we will discuss everything you need to know about it, including how to use it and how to benefit from it in your business! They do this by utilizing machine learning and natural language processing. How to use Gamme AI?

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Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models.

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Dataconomy

APRIL 17, 2025

AI in marketing refers to the use of machine learning (ML), natural language processing (NLP), and predictive analytics to automate, optimize, and personalize campaigns at scale. Lets dive right in. What is the significance of AI in marketing? When AI is integrated with Popular Platforms, it weaves magic.

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Dataconomy

MARCH 27, 2023

Both have the potential to transform the way organizations operate, enabling them to streamline processes, improve efficiency, and drive business outcomes. However, while RPA and ML share some similarities, they differ in functionality, purpose, and the level of human intervention required. What is machine learning (ML)?

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. Nitin Eusebius is a Sr.

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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Mlearning.ai

JULY 17, 2023

In today’s data-driven world, machine learning (ML) has become an indispensable tool for extracting valuable insights and making data-driven decisions. As a data scientist, staying ahead of the curve and continuously improving your skills is essential to tackle complex challenges in the field of ML. Happy learning!

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How to Learn Machine Learning

MAY 14, 2025

Today, we’re diving into something super practical that will help you gather data for your ML projects – how to download video from YouTube easily and efficiently! Format Flexibility : Download in MP3, MP4, M4V, FLV, WEBM, 3GP, WMV, AVI – whatever your ML project requires. What is Y2Mate? Y2Mate has got you covered!

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Flipboard

MAY 16, 2025

reshape(1, -1) sim_score = cosine_similarity(context_emb, answer_emb) return 1 - sim_score[0][0] Approach 3: BERT stochastic checker The BERT score uses the pre-trained contextual embeddings from a pre-trained language model such as BERT and matches words in candidate and reference sentences by cosine similarity.

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O'Reilly Media

NOVEMBER 19, 2024

Large-scale production recommenders, search engines, and other discovery processes also have a long history of leveraging knowledge graphs , such as at Amazon , Alphabet , Microsoft , LinkedIn , eBay , Pinterest , and so on. This article is based on an early talk, “ Understanding Graph RAG: Enhancing LLM Applications Through Knowledge Graphs.”

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AWS Machine Learning Blog

OCTOBER 23, 2024

Product documentation, knowledge articles, or other relevant data to ingest into the knowledge base in a compatible format such as PDF or text. Amazon Connect forwards the user’s message to Amazon Lex for natural language processing. Model access enabling Anthropic’s Claude 3 Haiku model on Amazon Bedrock.

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Flipboard

JUNE 19, 2023

It can access and analyze articles and expert opinions from marketing professionals to gain insights into successful marketing techniques. Benefits AIAgent is powered by the GPT-4 model, which incorporates the latest advancements in natural language processing and understanding. Check Out The Project.

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Mlearning.ai

MAY 31, 2023

With advancements in Natural Language Processing (NLP) and the introduction of models like ChatGPT, chatbots have become increasingly popular and powerful tools for automating conversations. In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques.

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DagsHub

NOVEMBER 4, 2024

Introduction: The Art of Deploying ML Systems Machine Learning is a complicated domain. Since ML became popular in business, the methods and approaches for deploying them have varied. This progression into safer and more automated processes to deploy and upgrade ML systems has led to the origination of a brand-new area of knowledge.

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AWS Machine Learning Blog

MARCH 21, 2025

JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows. We use JupyterLab to run the code for processing formulae and charts. Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability.

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Towards AI

AUGUST 25, 2023

How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1].

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Data Science Connect

JULY 24, 2023

In this article, we explore the concept of Micro-SaaS and how it is moving beyond conventional solutions. Whether it’s data visualization, natural language processing, or predictive analytics, Micro-SaaS products are developed with a razor-sharp focus on providing the best-in-class solutions.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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How to Learn Machine Learning

MAY 2, 2025

Azure Machine Learning is Microsoft’s enterprise-grade service that provides a comprehensive environment for data scientists and ML engineers to build, train, deploy, and manage machine learning models at scale. You can explore its capabilities through the official Azure ML Studio documentation. Awesome, right?

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Flipboard

JULY 4, 2023

These embeddings are the condensed versions of the training data that are produced as part of the ML process. With the incorporation of vector search capabilities, MongoDB enables developers to work with data analysis, recommendation systems, and Natural Language Processing.

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Data Science Dojo

AUGUST 16, 2024

Natural Language Processing (NLP) for Data Interaction Generative AI models like GPT-4 utilize transformer architectures to understand and generate human-like text based on a given context. It’s designed to handle large-scale data analytics, making it a powerful tool for enterprises.

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