Data Science Dojo

FEBRUARY 8, 2024

In the ever-evolving landscape of natural language processing (NLP), embedding techniques have played a pivotal role in enhancing the capabilities of language models. Word embeddings were created to address the absence of efficient text representations for NLP models.

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Towards AI

MAY 13, 2024

OpenAI’s ChatGPT changed that with its incredible reasoning abilities, which allowed a Large Language Model (LLM) to decide how to answer users’ questions on various topics without explicitly programming a flow for handling each topic. You just “prompt” the LLM on which topics to respond to and which to decline and let the LLM decide.

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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. But how about NLP for contracts? When applied to contracts, NLP can simplify and enhance various aspects of contract management. Can you rely on them for multi-million agreements?

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Data Science Dojo

APRIL 26, 2024

This latest large language model (LLM) is a powerful tool for natural language processing (NLP). The LLM is suitable for all NLP tasks usually performed by language models, including content generation, translating languages, and answering questions. April 2024 is marked by Meta releasing Llama 3, the newest member of the Llama family.

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Data Science Dojo

AUGUST 8, 2023

With the increasing prevalence of AI and NLP technologies across industries, the demand for skilled prompt engineers is expected to rise. Prompt engineering involves creating and refining input text or instructions to guide AI models like ChatGPT and DALLE-2 in generating specific outputs.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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Data Science Dojo

JUNE 20, 2023

Summarization : LLMs can summarize text into a shorter, more concise version. Its prowess lies in natural language processing (NLP) tasks like sentiment analysis, question-answering, and text classification. The buzz surrounding large language models is wreaking havoc and for all the good reason! What are large language models?

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IBM Data Science in Practice

NOVEMBER 11, 2022

Using the topic modeling approach, a machine can sift through unlimited lists of unstructured content into similar documents. Topic Modeling In this blog, we walk you through the popular Open Source Latent Dirichlet Allocation (LDA) Topic Modeling from conventional algorithms and Watson NLP Topic Modeling. Collecting dataset 4.

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Dataconomy

APRIL 25, 2023

Rule-based system in artificial intelligence is a popular approach for decision-making What is rule-based approach? The rule-based approach is a methodology used in artificial intelligence and expert systems to make decisions or provide solutions to problems. What is rule-based system in artificial intelligence?

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Data Science Dojo

APRIL 18, 2024

Speaking and listening are the direct by-products of human reliance on language. While humans can use language to understand each other, in today’s digital world, they must also interact with machines. Hence, they open a gateway to enhanced and high-quality human-computer interaction.

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ODSC - Open Data Science

APRIL 5, 2023

Be sure to check out her talk, “C reating a Custom Vocabulary for NLP tasks using exBERT and spaCY ,” there! Natural Language Processing (NLP) tasks involve analyzing, understanding, and generating human language. However, the first step in any NLP task is to pre-process the text for training.

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Data Science Connect

JULY 28, 2023

have revolutionized natural language processing (NLP) tasks, enabling machines to understand and generate human-like text. A thought-provoking article on Fagenwasanni.com explores the potential of transforming enterprise language models by adopting a human-centric approach. These models, powered by cutting-edge technologies like GPT-3.5,

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Explosion

JULY 18, 2023

In this talk, Ines presents visions for NLP in the age of LLMs and a pragmatic, practical approach for how to use Large Language Models to ship more successful NLP projects from prototype to production today. Large Language Models (LLMs) have shown some impressive capabilities and their impact is the topic of the moment.

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ML @ CMU

FEBRUARY 24, 2023

TL;DR : Prompting enables large language models (LLMs) to perform various NLP tasks without changing the model. We propose an efficient approach using reinforcement learning, which shows superior performance and facilitates rich interpretations and analyses. You can easily adapt it for your own tasks using our library here.

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The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Data scientists and NLP specialists can move towards analytical roles or into engineering to stay relevant. Could this paradigm shift lead to widespread job reductions?

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Data Science Dojo

JANUARY 20, 2023

If you joined Data Science Dojo’s community during or after the COVID pandemic, you may have some questions about how it works, whether can you really learn data science in 5 days, why is DSD comparing itself to MJ…I can’t explain the part about MJ other than I thought it would be fun, but I can explain how in-person bootcamps work at DSD.

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Explosion

OCTOBER 24, 2023

How does in-context learning compare to supervised approaches on predictive tasks? How many labelled examples do you need on different problems before a BERT-sized model can beat GPT-4 in accuracy?

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Dataconomy

FEBRUARY 28, 2024

Artificial intelligence has already taken the center stage of our lives and usage of AI at work is actively reshaping how we navigate our way in a complex workspace. If you’re curious about how to utilize AI for your business, or even just trying to understand what it truly means, then welcome to our coverage of AI at work.

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Dataconomy

JULY 4, 2023

This cutting-edge approach incorporates a range of innovative technologies. Do you want to revolutionize your business operations and boost productivity? Hyper automation is the game-changer you’ve been looking for. In the modern fast-paced and competitive business world, traditional automation is no longer enough.

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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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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Cho, the first NLP faculty member at CDS, laid the groundwork, and Bowman created and expanded greatly the initiative in the group’s early days.

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Towards AI

SEPTEMBER 5, 2023

Unlocking the Future of Language: The Next Wave of NLP Innovations Photo by Joshua Hoehne on Unsplash The world of technology is ever-evolving, and one area that has seen significant advancements is Natural Language Processing (NLP). Together, BERT and GPT set the stage, creating a new era in NLP. Their impact? Immeasurable.

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Towards AI

DECEMBER 29, 2023

The downside of this approach is that it is money and time-consuming to make one. Sentiment analysis is an iconic task in NLP that has been widely used across various sectors related to customer reviews about products and services. You can apply the techniques in this article to other LLMs. Photo by Jeremy Bishop on Unsplash.

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Towards AI

APRIL 25, 2024

Paper Walkthrough: RAG for Knowledge-Intensive NLP Tasks This week, we have a paper walkthrough for the research paper on Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. We are working on something super cool, covering everything from the technical to the conceptual aspects of AI, LLMs, NLP, computer vision, and more!

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ODSC - Open Data Science

MARCH 15, 2023

This talk will give you an intro to semantic search and how it can simplify your search setup while at the same time delivering way better search results. You’ll also learn how to use visuals to promote understanding and retention. Our expert speakers will be sharing their insights and knowledge on a wide range of topics.

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IBM Journey to AI blog

JANUARY 25, 2024

In reality, a holistic, socio-technical approach is required. How might this insight affect evaluation of AI models? Additionally, the models themselves are created from limited architectures: “Almost all state-of-the-art NLP models are now adapted from one of a few foundation models, such as BERT, RoBERTa, BART, T5, etc.

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Dataconomy

SEPTEMBER 22, 2023

So; Why, how, and when do you archive data? Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. But why do businesses need it exactly? But this data sometimes needs to be archived.

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Becoming Human

MARCH 12, 2024

Incorporating AI in legal research marks a significant departure from traditional approaches. This article provides a brief examination of how AI is reshaping legal research and case analysis. This shift allows experts to concentrate on the nuanced aspects of cases requiring human judgment. What is legal research?

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Dataconomy

JANUARY 15, 2024

How to humanize AI text for free? How to humanize AI text for free? Ask yourself: How would I describe this scene, taste, or experience in a way that transports my reader there? This approach not only humanizes your content but also establishes your expertise or your brand’s authority in a particular field.

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Dataconomy

DECEMBER 27, 2023

Image credit ) How Important is EdTech? Educational Technology, often called EdTech, is the application of digital technology to facilitate the teaching and learning process. Artificial Intelligence (AI), a household name in this era, possesses the capability to influence the EdTech field and address all concerns.

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Becoming Human

MAY 9, 2024

Introduction about NER Named entity recognition (NER) is a fundamental aspect of natural language processing (NLP). NLP is a branch of artificial intelligence (AI) that aims to teach machines how to understand, interpret, and generate human language. It’s crucial in various AI and machine learning (ML) applications.

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Defined.ai blog

AUGUST 30, 2023

Through the relentless evolution of Natural Language Processing (NLP) in machine learning, the barriers between human and machine communication are not just blurring—they’re being dismantled, ushering in a new era of collaboration and understanding. Stay with us for revelations that might revolutionize how you see AI.

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Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. It uses text-based data to analyze how people feel about a particular topic and can help businesses to understand the broad sentiment of their customer base.

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Heartbeat

JANUARY 31, 2024

Importance of Tokenization in NLP Tokenization is one of the main concepts of NLP. We are learning NLP.” Now you can see it split the sentence correspondingly, like Hi Everyone , We are learning NLP. This is how you can break up text, such as a big article or paragraphs, into a list of sentences.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. billion by 2030.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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