Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). By analyzing diverse data sources and incorporating advanced machine learning algorithms, LLMs enable more informed decision-making, minimizing potential risks.

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Data Science Dojo

DECEMBER 14, 2023

As we delve into 2023, the realms of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 blogs of 2023 that have been instrumental in disseminating detailed and updated information in these dynamic fields.

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Data Science Dojo

JULY 4, 2023

Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. Their responsibilities can range from building chatbots and smart assistants with natural language processing (NLP) to developing internal algorithms and programs that help automate a company’s processes.

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Data Science Dojo

MAY 18, 2023

In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.

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Towards AI

OCTOBER 31, 2024

Hype Cycle for Emerging Technologies 2023 (source: Gartner) Despite AI’s potential, the quality of input data remains crucial. Algorithms can automatically clean and preprocess data using techniques like outlier and anomaly detection. GenAI can now assist in direct data mapping and cleaning by identifying and fixing inconsistencies.

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Flipboard

APRIL 8, 2023

For those of you as eager to pour through the entire 2023 Artificial Intelligence Index Report as I was, you can dive in here. billion for non-classified AI-specific research for fiscal year 2023, up 26.4 But for a snapshot of the entire set of findings, below are 10 charts capturing essential trends in AI today. percent from 2021.

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Data Science Dojo

JULY 18, 2023

Popularly known as the brains behind Chat GPT, Large Language Models are advanced artificial intelligence systems capable of understanding and generating human language. They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses.

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Data Science Dojo

JUNE 20, 2023

The buzz surrounding large language models is wreaking havoc and for all the good reason! The game-changing technological marvels have got everyone talking and has to be topping the charts in 2023. What are large language models?

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Data Science Dojo

JULY 18, 2023

Large Language Models (LLMs) are advanced artificial intelligence systems capable of understanding and generating human language. They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses.

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Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

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Dataconomy

APRIL 3, 2025

These agents use machine learning algorithms to adapt and learn from user interactions, allowing them to provide personalized responses and handle complex scenarios. Natural Language Processing analyses customer sentiment, while biometrics and predictive personalisation enhance security and provide tailored recommendations.

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Data Science Dojo

JULY 18, 2023

Popularly known as the brains behind ChatGPT, Large Language Models are advanced artificial intelligence systems capable of understanding and generating human language. They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses.

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Data Science Dojo

FEBRUARY 3, 2023

In this blog post, we’ll explore five project ideas that can help you build expertise in computer vision, natural language processing (NLP), sales forecasting, cancer detection, and predictive maintenance using Python. One project idea in this area could be to build a facial recognition system using Python and OpenCV.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job.

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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. We will be using the “tm” package for preprocessing.

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Towards AI

MAY 11, 2023

Last Updated on May 18, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP).

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Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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AssemblyAI

MARCH 21, 2023

And why do Graph Neural Networks matter in 2023? Next-generation traffic prediction algorithm (Google Maps) Another highly impactful application of Graph Neural Networks came from a team of researchers from DeepMind who showed how GNNs can be applied to transportation maps to improve the accuracy of estimated time of arrival (ETA).

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Dataconomy

JUNE 5, 2023

more cats pls — Midjourney (@midjourney) May 6, 2023 Expected Midjourney v6 features What are the expected features of Midjourney V6? As higher-quality images need more processing power, it is unclear if Midjourney is near to achieving this objective; yet, this is certainly one of the most anticipated additions of Midjourney V6.

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Towards AI

APRIL 8, 2023

Last Updated on April 11, 2023 by Editorial Team Author(s): Dr. Mandar Karhade, MD. Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. Originally published on Towards AI.

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Data Science Dojo

OCTOBER 27, 2023

Data Science Dojo Large Language Models Bootcamp The Data Science Dojo Large Language Models Bootcamp is a 5-day in-person bootcamp that teaches you everything you need to know about large language models (LLMs) and their real-world applications. Students will start with the basics and gradually delve into advanced topics.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages.

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Towards AI

AUGUST 10, 2023

Last Updated on August 11, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Embarking on a Journey with Large Language Models (LLMs) This member-only story is on us. The world of artificial intelligence has been revolutionized by the emergence of Large Language Models (LLMs).

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ODSC - Open Data Science

AUGUST 29, 2023

Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication. At ODSC West, you’ll experience multiple tracks with Large Language Models, having its own track.

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Dataconomy

JULY 6, 2023

The complexity of AI algorithms and models poses one of the major challenges in artificial intelligence, as there is still much to be understood about their inner workings ( Image credit ) What are the challenges in artificial intelligence as of 2023? But all these do not mean there are no challenges in artificial intelligence.

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Google Research AI blog

MARCH 30, 2023

Despite the fundamental importance of data to ML, it’s only now beginning to receive the same level of attention that models and learning algorithms have been enjoying for the past decade. We can begin by recognizing common challenges in dataset creation and developing performance metrics for algorithms that address those challenges.

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Flipboard

JULY 31, 2023

From decoding the complex algorithms to highlighting unique features, this article is your one-stop shop for finding the perfect AI blog writer for you. Similarly, Machine Learning algorithms, with enough data, can make complex decisions, predict outcomes, and even create human-like text. Let’s begin.

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Dataconomy

OCTOBER 2, 2024

Kingma is best known for co-developing several groundbreaking techniques in AI, including the Adam optimizer , a widely-used optimization algorithm in deep learning, and Variational Autoencoders (VAE) , a type of generative model that enables unsupervised learning and has applications in image generation and other AI tasks.

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Dataconomy

JULY 10, 2023

Gartner , a leading research and advisory firm, predicts that by 2023, more than a third of large organizations will have analysts practicing decision intelligence, including decision modeling. This is because decision intelligence platforms can use machine learning algorithms to identify patterns and trends in data.

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O'Reilly Media

NOVEMBER 19, 2024

GraphRAG is a technique which uses graph technologies to enhance RAG, which has become popularized since Q3 2023. The “distance” between each pair of neighbors can be interpreted as a probability.When a question prompt arrives, run graph algorithms to traverse this probabilistic graph, then feed a ranked index of the collected chunks to LLM.

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Dataconomy

JUNE 8, 2023

These technologies leverage sophisticated algorithms to process vast amounts of medical data, helping healthcare professionals make more accurate decisions. By leveraging machine learning algorithms, AI systems can analyze medical images, such as X-rays, MRIs, and CT scans, with remarkable accuracy and speed.

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Dataconomy

SEPTEMBER 22, 2023

Artificial intelligence (AI) can be used to automate and optimize the data archiving process. This process can help organizations identify which data should be archived and how it should be categorized, making it easier to search, retrieve, and manage the data. There are several ways to use AI for data archiving.

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Dataconomy

JULY 26, 2023

Natural Language Processing (NLP) is an exciting technology that enables computers to understand and analyze human language. By using NLP tools, businesses can save time and effort in drafting and reviewing contracts, leading to more efficient processes. But how about NLP for contracts?

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ODSC - Open Data Science

FEBRUARY 27, 2023

With that in mind, here are my top five AI predictions for 2023: 1. Improved natural language processing : Natural language processing (NLP) is the ability of a computer to understand, interpret, and generate human language. Download this e-book ] 2.

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Towards AI

MARCH 20, 2023

Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! How does natural language processing (NLP) relate to generative AI? What is the history and evolution of generative AI?

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Towards AI

FEBRUARY 14, 2023

It involves using machine learning algorithms to generate new data based on existing data. Generative AI is a subset of artificial intelligence (AI) that involves using algorithms to create new data. Generative AI works by training algorithms on large datasets, which the algorithm can then use to generate new data.

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