Data Science Dojo

AUGUST 18, 2023

Large language models (LLMs) are AI models that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. They are trained on massive amounts of text data, and they can learn to understand the nuances of human language. So what are you waiting for?

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Data Science Dojo

JULY 27, 2023

A custom large language model (LLM) application is a software application that is built using a custom LLM. Some common applications include: Chatbots and virtual assistants: Custom LLMs can be used to create chatbots and virtual assistants that can understand and respond to natural language queries.

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Data Science Dojo

NOVEMBER 30, 2023

GPT stands for Generative Pretrained Transformer, which is a large language model (LLM) chatbot developed by OpenAI. It is a powerful tool that can be used for a variety of tasks, including generating text, translating languages, and writing different kinds of creative content. Improved Performance and Language Comprehension GPT-3.5:

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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). Significance of Large Language Models LLMs are a transformative technology that has revolutionized the way businesses operate.

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Data Science Dojo

SEPTEMBER 1, 2023

It assists in generating content such as articles, blog posts, and product descriptions, saving time and resources for content creation. By automating various tasks and processes, businesses can reduce operational costs and allocate resources to more strategic activities. Example prompt: “Tell me a joke to brighten my day.”

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Data Science Dojo

AUGUST 22, 2023

Unlocking the Power of LLM Use-Cases: AI applications now excel at summarizing articles, weaving narratives, and sparking conversations, all thanks to advanced large language models. Large language models, which are a prominent category of transformer models, have proven to be exceptionally versatile.

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Flipboard

JULY 31, 2023

Searching for the best AI blog writer to beef up your content strategy? But in this guide, we’ve curated a list of the top 10 AI blog writers to streamline your content creation. 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.

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Dataconomy

FEBRUARY 1, 2024

In an effort to continuously improve the image creation process, the team at Bard has recently released an update that promises to revolutionize the way we create images. With the latest update, Bard now utilizes natural language processing (NLP) and Google Gemini AI to generate images based on text prompts.

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Data Science Dojo

APRIL 18, 2024

Language is the basis for human interaction and communication. 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. Let’s understand large language models further.

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Towards AI

DECEMBER 28, 2023

10+ Python packages for Natural Language Processing that you can’t miss, along with their corresponding code.Foto di Max Duzij su Unsplash Natural Language Processing is the field of Artificial Intelligence that involves text analysis. It combines statistics and mathematics with computational linguistics.

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Data Science Dojo

OCTOBER 23, 2023

If you’re interested to learn large language models (LLMs), you’re in the right place. They’re incredibly powerful tools that can be used to do a wide range of things, from generating text to translating languages to writing code. LLMs are all the rage these days, and for good reason.

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Data Science Dojo

SEPTEMBER 11, 2023

Language models, a recent advanced technology that is blooming more and more as the days go by. These complex algorithms are the backbone upon which our modern technological advancements rest and which are doing wonders for natural language communication. These are more than just names; they are the cutting edge of NLP.

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Dataversity

MAY 10, 2024

Large language models (LLMs) are a special type of AI model that uses natural language processing (NLP) to understand and generate text similar to human language. ChatGPT stands out as a well-known example of generative AI. They are a form of generative AI trained on textual data to produce textual content.

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Data Science Dojo

JUNE 16, 2023

The purpose of this blog post is to discuss the advantages and disadvantages of using OpenAI in mobile app development. These tools include natural language processing (NLP), image recognition, predictive analytics, and more.

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Data Science Blog

JUNE 30, 2023

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). Why we did it? It is a nice show-case many people are interested in.

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Towards AI

JULY 17, 2023

Natural language processing, computer vision, machine learning I recently moved from the computer vision (CV) domain to the natural language processing (NLP) domain and found some interesting observations. NLP is language-specific, but CV is not. NLP is language-specific, but CV is not.

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Becoming Human

MAY 16, 2023

Generative Pre-trained Transformer 4 (GPT-4) is the latest iteration of the groundbreaking GPT series of language models developed by OpenAI. GPT-4 has more parameters than GPT-3, allowing it to store and process a more extensive range of knowledge.

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Smart Data Collective

JANUARY 20, 2020

It goes without saying that blogging has slowly and steadily evolved into an indispensable marketing tool. While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level.

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Towards AI

FEBRUARY 13, 2024

You can ask the chatbot questions, and it will answer in natural language and with code in multiple programming languages. The training process of Decoder-only Transformers Given enough training data, they can also learn to generate code. GitHub Copilot is a commercial example of an AI pair programmer.

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phData

APRIL 5, 2024

With Document AI from the Snowflake Data Cloud , organizations can utilize the power of LLMs to automate the process of converting unstructured documents into organized tables with ease! In this blog, we’ll cover what the Document AI tool is, what use cases it solves, and how to integrate it with document processing pipelines.

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Dataconomy

DECEMBER 8, 2023

Gemini AI stands out from its competitors due to its multimodal nature, seamlessly understanding and interacting with text, code, audio, video, and images. So if you are wondering how to use Google Gemini AI, the very first thing to do is to ask Bard which language model it is using currently.

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Towards AI

JANUARY 30, 2024

While I post the list in this blog, I’m also maintaining a “live” list that is detailed and will keep on updating. Examples: GPT 3.5, The term “Large” refers to the number of trained parameters in the models ( billions of parameters) Examples: GPT 3.5, Therefore used for very specific tasks.

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Pickl AI

MARCH 27, 2023

It involves the processing of information and following commands is in the same line as that of the human brain. Well, it’s Natural Language Processing which equips the machines to work like a human. Benefits of NLP Natural Language Processing (NLP) is gaining popularity for the right reasons.

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Dataconomy

JANUARY 15, 2024

There are quick and easy ways to humanize AI-generated content — like adding your personal experiences, adjusting the language, training an AI system to mimic your style, and editing AI-generated content for style and consistency. Imagine crafting a blog about culinary adventures.

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IBM Data Science in Practice

DECEMBER 21, 2023

IBM Watson Text to Speech is a service that converts text into natural-sounding speech in a range of languages , dialects, and voices using speech synthesis capabilities. The model uses a combination of statistical methods and neural network architectures to generate natural-sounding speech from text inputs. For example: 1.

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Towards AI

FEBRUARY 6, 2024

Photo by Johannes Plenio on Unsplash Since the 2017 paper “Attention Is All You Need” invented the Transformer architecture, natural language processing (NLP) has seen tremendous growth. And with the release of ChatGPT in November 2022, large language models (LLMs) has captured everyone’s interest.

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Google Research AI blog

MAY 15, 2023

In general, models’ success at in-context learning is enabled by: Their use of semantic prior knowledge from pre-training to predict labels while following the format of in-context examples (e.g., Learning the input-label mappings in context from the presented examples (e.g.,

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). ChatGPT , a chatbot developed by the OpenAI team, is an example of an LLM. This data comes everywhere, including articles, blogs, news sites, and journals.

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IBM Journey to AI blog

JANUARY 26, 2024

Programming languages have evolved toward low-code/no-code paradigms and with the emergence of generative AI, we are at a point where foundational models can generate formal code based on natural language descriptions of the tasks.

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Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. It is a significant initial step towards the objective of supporting 1,000 languages.

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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. Several natural language subprocesses within NLP work collaboratively to create conversational AI.

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IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. This framework helps streamline and simplify the process for businesses to calculate Scope 3 emissions.

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Dataconomy

AUGUST 21, 2023

At its core, a Large Language Model (LLM) is a sophisticated machine learning entity adept at executing a myriad of natural language processing (NLP) activities. This includes tasks like text generation, classification, engaging in dialogue, and even translating text across languages. What is LLM in AI?

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Becoming Human

FEBRUARY 1, 2023

Meet Mr. ChatGPT: A Large Language Model Trained by OpenAI Hello and welcome to the blog! My name is ChatGPT, and I am a large language model trained by OpenAI. For credits, of image goes to openai.com Language models are a type of artificial intelligence (AI) that is trained to generate human-like text.

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IBM Journey to AI blog

APRIL 15, 2024

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. For example, as manufacturers, we create a knowledge base, but no one can find anything without spending hours searching and browsing through the contents. The manufacturing industry is in an unenviable position.

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IBM Journey to AI blog

MAY 1, 2024

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making. AI-supported what-if modeling helps develop contingency plans such as inventory, supplier or distribution center reallocation.

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 As of right now, the architecture can help with language modeling and machine translation. Below are the bullet-points from the blog on what you can do to help. Forge Where are we?

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