Data Science Dojo

SEPTEMBER 1, 2023

Master ChatGPT to automate repetitive tasks, including answering frequently asked questions, allowing businesses to provide efficient and round-the-clock customer support. By automating various tasks and processes, businesses can reduce operational costs and allocate resources to more strategic activities. Key use cases: 1.

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Towards AI

SEPTEMBER 6, 2023

Last Updated on September 7, 2023 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI. Rammer: Pioneering Parallel Hardware Utilization Deep neural networks (DNNs) have become integral to various intelligence tasks, spanning image classification to natural language processing.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. This could involve better preprocessing tools, semi-supervised learning techniques, and advances in natural language processing. Clean data is important for good model performance.

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Heartbeat

FEBRUARY 29, 2024

Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems. In the subsequent years, we saw the rise of languages like Perl, Python, Ruby, JavaScript, Java, and C#.

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How to Learn Machine Learning

JANUARY 21, 2023

Check out our best 7 Artificial Intelligence Project Ideas to enhance your practice and level up your skill! In this article, we’ll explore 7 of the most intriguing AI project ideas for beginners in 2023, providing the perfect opportunity to get your feet wet and jumpstart your AI journey. Need inspiration building AI systems?

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Chatbots Life

SEPTEMBER 11, 2023

These intelligent virtual assistants are modifying the way call centers engage with customers, streamline processes, and deliver exceptional experiences. Generative AI chatbots excel at understanding natural language and can interpret customer requests accurately.

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IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. This 7-part course will give you everything you need to get started learning NLP, including ML for NLP, tokenization, and more. Here are some more details.

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Mlearning.ai

JULY 11, 2023

If you’re interested in exploring deep learning, this step-by-step guide will help you learn the basics and develop the necessary skills. Step 1: Learn Math and Programming Basics Start by getting comfortable with math, especially concepts like numbers, graphs, and equations. Learn how to fine-tune model parameters effectively.

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Heartbeat

JANUARY 29, 2024

Instead of solely learning to solve specific tasks, meta-learning aims to improve the learning process itself, enabling models to adapt quickly to new, previously unseen tasks based on past experiences. Among the myriad breakthroughs in this field, Meta-Learning is pushing the boundaries of machine learning.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

However, there are challenges associated with multi-modal data due to the complexity and lack of standardization in financial systems and data formats and quality, as well as the fragmented and unstructured nature of the data. One of the ways to handle multi-modal data that is gaining popularity is the use of multi-modal agents.

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Pickl AI

AUGUST 1, 2023

Since most of the data that companies have is unstructured and organized, text mining becomes a significant process. Hence, its relevance increases because it helps in extracting useful insights that can drive the decision-making process. Text mining is also known as text analytics or Natural Language Processing (NLP).

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Pickl AI

AUGUST 21, 2023

Programming languages like Python are pivotal. From software development, to application development, programming language expertise is important. Python is a versatile and widely-used programming language, supports multiple programming paradigms, each with its own unique characteristics and advantages.

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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). In this article, I will take you through what it’s like coding your own AI for the first time at the age of 16. Are you ready to explore?

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Pickl AI

JULY 20, 2023

4. Prescriptive Analytics Projects: Prescriptive analytics takes predictive analysis a step further by recommending actions to optimize future outcomes. Certainly, you need to ensure that while you target a specific job role in different companies, you have the skills and expertise as well.

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Mlearning.ai

JUNE 28, 2023

Enter PyCaret, an open-source, Python-based machine-learning library that embraces a low-code paradigm, ingeniously devised to streamline the intricate process of model development and deployment. This extensive repertoire includes classification, regression, clustering, natural language processing, and anomaly detection.

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Pickl AI

MAY 31, 2023

You need to be highly proficient in programming languages to help businesses solve problems. Python is one of the widely used programming languages in the world having its own significance and benefits. Being one of the most demanding programming languages today, you need to learn Python for Data Science. Read below to find out!

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Heartbeat

DECEMBER 22, 2023

They may be more suitable for tasks such as text generation, language translation, or sentiment analysis rather than engaging in interactive conversations. Complex Workflows: A conversational agent can help automate and streamline the workflow if your tasks involve multiple steps or interactions.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Pickl AI

JULY 18, 2023

The AI domain is expanding and is actively penetrating across different business niches. There are several developments taking place in this domain. Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. from 2023 to 2030. Lakhs to ₹ 56.7

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PyImageSearch

JANUARY 30, 2023

For example, they can scan test papers with the help of natural language processing (NLP) algorithms to detect correct answers and grade them accordingly. Further, by analyzing grades, the software can analyze where individual students are lacking and how they can improve the learning process.

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Data Science Dojo

JULY 12, 2023

In today’s era of advanced artificial intelligence, language models like OpenAI’s GPT-3.5 However, to harness the true potential of these models, it is crucial to master the art of prompt engineering. A well-crafted prompt holds the key to unlocking accurate, relevant, and insightful responses from language models.

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PyImageSearch

JANUARY 2, 2023

It is estimated that over $140 billion is required annually to meet the health-related sustainable development goal objectives. Further, significant health technology, digital technology, and artificial intelligence (AI) investments are needed to bridge the health service gap in emerging markets.

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Flipboard

MARCH 27, 2023

torch.compile Over the last few years, PyTorch has evolved as a popular and widely used framework for training deep neural networks (DNNs). The success of PyTorch is attributed to its simplicity, first-class Python integration, and imperative style of programming. With continuous innovation from the PyTorch team, PyTorch has moved from version 1.0

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion. This conversational model allows for building customized chatbots and assistants.

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Dataconomy

JULY 21, 2023

Welcome, fellow tech enthusiasts, to a captivating journey into the realm of Character AI—the groundbreaking chatbot web application powered by an advanced neural language model. If you’ve ever marveled at how AI can create text responses that mirror real human conversation, then you’re in for a treat!

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Flipboard

JULY 10, 2023

Architecture Training Process Objectives Summary Citation Information Introduction to Autoencoders Uncover the intriguing world of Autoencoders with this tutorial. Although the process has imperfections, you now possess infinite possibilities for generating novel clothing. How Autoencoders Achieve High-Quality Reconstructions?

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Mlearning.ai

DECEMBER 13, 2023

Mastering Deep Learning and AI Interview Questions: What You Need to Know Image created by the author on Canva Knowledge is power, but enthusiasm pulls the switch.” Mastering them equips you with the knowledge to not only ace interviews but also to make meaningful contributions to AI. said Ivern Ball.

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Mlearning.ai

JULY 5, 2023

Brace yourself for a comprehensive journey that combines rich content and a step-by-step approach, ensuring you gain invaluable insights and a profound understanding of this powerful tool. With its step-by-step approach, you’ll gradually uncover the intricacies of Kivy, mastering its syntax, layout management, event handling, and more.

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Mlearning.ai

DECEMBER 4, 2023

In this article, we'll delve into 7 crucial aspects that can elevate your data utilization game, ensuring that your insights are not only accurate but also effectively communicated. Scientifically proven that images can be processed by the brain 60,000 times faster than text.

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PyImageSearch

SEPTEMBER 11, 2023

In the second part of this tutorial, we will take a step ahead and understand how SAM can be integrated with other foundational models like contrastive language-image pre-training (CLIP) to perform varied downstream tasks like zero-shot classification, text-to-image retrieval, and image similarity. without further fine-tuning).

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Hacker News

FEBRUARY 2, 2023

The Tangled History of the Second Law of Thermodynamics When I Was 12 Years Old… I’ve been trying to understand the Second Law now for a bit more than 50 years. It all started when I was 12 years old. There were several shelves of physics books at the local bookstore. It wasn’t like anything I’d seen before. Why might that be different?

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The MLOps Blog

AUGUST 11, 2023

The architectural considerations primarily focus on the arrangement of the components in relation to each other and the involved processes and stages. It answers the question: “What ML processes and components will be included in the pipeline, and how are they structured?”

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Towards AI

SEPTEMBER 6, 2023

Last Updated on September 7, 2023 by Editorial Team Author(s): Anand Taralika Originally published on Towards AI. These marvels of technology, capable of generating human-like text and understanding the intricacies of language, have found applications in diverse domains, from natural language processing to content generation.

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ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!

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The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. Moving across the typical machine learning lifecycle can be a nightmare. To do that, you’d need to take a systematic approach to MLOps —enter platforms!

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Mlearning.ai

MAY 3, 2023

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as ChatGPT, AutoGPT, LLaMa, GPT-J, and GPT4All An introduction to “ pychatgpt_gui” —  A GUI-based APP for LLM’s with custom-data training and pre-trained inferences. LLaMa : LLaMA (Large Language Model Meta AI) released by Meta AI in Feb 2023.

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