Data Science Dojo

NOVEMBER 3, 2023

This blog lists several YouTube channels that can help you get started with llms, generative AI, prompt engineering, and more. Large language models, like GPT-3.5, have revolutionized the field of natural language processing. This channel offers plentiful learning tutorials within the domain of large language models.

Natural Language Processing 195

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 195

Data Science Dojo

JANUARY 31, 2024

It is an AI framework and a type of natural language processing (NLP) model that enables the retrieval of information from an external knowledge base. It integrates retrieval-based and generation-based approaches to provide a robust database for LLMs. Language translation Translation is a tricky process.

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Database Natural Language Processing Deep Learning Deep Learning 243

Data Science Dojo

MAY 18, 2023

Vector Similarity Search: With this panel discussion learn how you can incorporate vector search into your own applications to harness deep learning insights at scale. 6. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

Data Science 195

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Dataconomy

FEBRUARY 26, 2025

These systems leverage extensive knowledge databases to provide informed recommendations and solutions. Deep learning A subset of machine learning, deep learning uses multi-layered neural networks to process large datasets and deliver high accuracy in prediction tasks.

Machine Learning 103

Machine Learning Machine Learning Deep Learning Deep Learning 103

Data Science Dojo

MAY 24, 2024

For example, predictive maintenance in manufacturing uses machine learning to anticipate equipment failures before they occur, reducing downtime and saving costs. Deep Learning Deep learning is a subset of machine learning based on artificial neural networks, where the model learns to perform tasks directly from text, images, or sounds.

Deep Learning 195

Deep Learning Deep Learning AI AI 195

Pickl AI

APRIL 9, 2025

Summary: Artificial Intelligence (AI) and Deep Learning (DL) are often confused. AI vs Deep Learning is a common topic of discussion, as AI encompasses broader intelligent systems, while DL is a subset focused on neural networks. Is Deep Learning just another name for AI? Is all AI Deep Learning?

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Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk These applications also leverage the power of Machine Learning and Deep Learning. """

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Data Science Dojo

JUNE 14, 2023

You must have heard the name GPT if you are interested in text processing. GPT is one of the most popular machine-learning models used for text processing. I t belongs to a class of models called “ Transformers ” which are classified among deep learning models. And that was just one model.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

You must have heard the name GPT if you are interested in text processing. GPT is one of the most popular machine-learning models used for text processing. I t belongs to a class of models called “ Transformers ” which are classified among deep learning models. And that was just one model.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

You must have heard the name GPT if you are interested in text processing. GPT is one of the most popular machine-learning models used for text processing. I t belongs to a class of models called “ Transformers ” which are classified among deep learning models. And that was just one model.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Deep learning-based models, especially CNNs, have revolutionized feature extraction in image captioning. Image captioning can help with that!

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Pickl AI

FEBRUARY 7, 2025

Summary: Machine Learning and Deep Learning are AI subsets with distinct applications. ML works with structured data, while DL processes complex, unstructured data. Introduction In todays world of AI, both Machine Learning (ML) and Deep Learning (DL) are transforming industries, yet many confuse the two.

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Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

DECEMBER 6, 2023

In this blog post, we’ll explore how to deploy LLMs such as Llama-2 using Amazon Sagemaker JumpStart and keep our LLMs up to date with relevant information through Retrieval Augmented Generation (RAG) using the Pinecone vector database in order to prevent AI Hallucination. Sign up for a free-tier Pinecone Vector Database.

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Database AWS ML ML 126

Dataconomy

DECEMBER 18, 2024

Specialists cannot consistently and flawlessly handle hundreds of daily alerts, and managing manual processes becomes increasingly difficult as corporate networks grow more complex and diverse, as they do today. Since DL falls under ML, this discussion will primarily focus on machine learning.

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AI AI Machine Learning Machine Learning 91

Data Science Connect

JULY 29, 2023

Leveraging the Power of AI and Deep Learning AI facial recognition relies on deep learning algorithms to analyze facial features and match them against a vast database of known individuals. Noida’s police force is now tapping into this cutting-edge technology to augment their crime-fighting capabilities.

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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. Why do we need an embeddings model?

Natural Language Processing 132

Natural Language Processing AWS Machine Learning Machine Learning 132

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.

Data Science 195

Data Science Azure Natural Language Processing Database 195

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Data Science Dojo

AUGUST 1, 2023

Understanding LLM chatbots Back to basics: Understanding Large Language Models LLM, standing for Large Language Model, represents an advanced language model that undergoes training on an extensive corpus of text data. These include text completion, language translation, sentiment analysis, and much more.

Database 195

Database AI AI Natural Language Processing 195

AWS Machine Learning Blog

JUNE 11, 2024

The diverse and rich database of models brings unique challenges for choosing the most efficient deployment infrastructure that gives the best latency and performance. First, we started by benchmarking our workloads using the readily available Graviton Deep Learning Containers (DLCs) in a standalone environment.

Machine Learning 118

Machine Learning Machine Learning AWS Natural Language Processing 118

Mlearning.ai

JANUARY 3, 2024

word2vec dl4ee: deep learning for electrical engineers Why another article for word2vec? This article starts with the bigger picture of how it serves as the first step into the Natural Language Processing world. According to [], WordNet is a large lexical database of English.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Database 52

Hacker News

NOVEMBER 15, 2023

Patrick Lewis “We definitely would have put more thought into the name had we known our work would become so widespread,” Lewis said in an interview from Singapore, where he was sharing his ideas with a regional conference of database developers. “We Retrieval-augmented generation combines LLMs with embedding models and vector databases.

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Database AI AI Natural Language Processing 181

Hacker News

MARCH 25, 2022

“Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

Machine Learning 182

Machine Learning Machine Learning Database AI 182

The MLOps Blog

MAY 10, 2023

In this section, you will see different ways of saving machine learning (ML) as well as deep learning (DL) models. To ensure security and JSON/pickle benefits, you can save your model to a dedicated database. Next, you will see how you can save an ML model in a database. Now let’s see how we can save our model.

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Python ML ML Database 105

Towards AI

MAY 3, 2023

This is where the utilization of vector databases like Pinecone becomes valuable to store all the past experiences and aids as the memory for LLMs. Storing past ML insights to guide decision making Machine learning and deep learning models transform unstructured data into numerical vectors called embeddings.

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ML ML Machine Learning Machine Learning 98

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

DECEMBER 14, 2023

In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers. The readers can refer to the tutorial for setting up and running SageMaker Processing jobs. path_suffix='.parquet',

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ETL AWS ML ML 116

Smart Data Collective

JANUARY 13, 2022

For example, deep learning can be used to understand speech and also respond with speech. AI tools can identify the right solution from the knowledge base without the executive requiring to search through the database. Search tools with Natural Language Processing (NLP) can bring the right solution with very little query effort.

Machine Learning 139

Machine Learning Machine Learning AI AI 139

Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. What is required to build an AI system?

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Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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ODSC - Open Data Science

MARCH 1, 2023

ChatGPT is a task-oriented conversational AI system that enables natural, human-like conversations with machines. It uses the latest advances in natural language processing (NLP) and deep learning to understand user input, generate meaningful responses, and maintain the conversation. What is ChatGPT?

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ODSC - Open Data Science

FEBRUARY 14, 2023

Seek AI uses complex deep-learning foundation models with hundreds of billions of parameters. These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases.

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Database AI AI Natural Language Processing 124

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Git & Docker Coding is messy — it is rarely a linear process from idea to production ready system.

Data Science 130

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The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

DECEMBER 26, 2024

Hugging Face, FAISS, and vector databases streamline implementation and scalability. Semantic search uses Natural Language Processing (NLP) and Machine Learning to interpret the intent behind a users query, enabling more accurate and contextually relevant results.

Database 52

Database Natural Language Processing Machine Learning Machine Learning 52

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. TensorFlow and Keras: TensorFlow is an open-source platform for machine learning. Web Scraping : Extracting data from websites and online sources.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. It is not surprising that it has become a major application area for deep learning.

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