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

Data Science AI AI Deep Learning 195

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

Dataconomy

MARCH 25, 2025

Components of an information retrieval system An information retrieval system is made up of several key components that work together to provide accurate search results: Database: The foundational layer where various forms of data, such as documents, images, and other content, are stored for retrieval.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Database 91

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 Machine Learning Machine Learning 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

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

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. """

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52

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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Natural Language Processing Algorithm Deep Learning Deep Learning 52

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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Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 52

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.

Database 130

Database AWS ML ML 130

Flipboard

JUNE 11, 2025

In natural language processing (NLP), RAFT enhances tasks such as question answering, text summarization, and conversational AI. Fine-Tuning Techniques: Fine-tuning adjusts the model’s internal parameters based on the retrieved knowledge, enhancing its ability to produce accurate and contextually appropriate outputs.

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AI AI Machine Learning Machine Learning 91

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 135

Natural Language Processing AWS Machine Learning Machine Learning 135

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.

AI 91

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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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

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

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 121

Machine Learning Machine Learning AWS Natural Language Processing 121

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.

Database 181

Database AI AI Natural Language Processing 181

Pickl AI

JUNE 5, 2025

SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM).

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ML ML AI AI 132

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

Flipboard

MAY 5, 2025

In this series, we will set up AWS OpenSearch , which will serve as a vector database for a semantic search application that well develop step by step. This is our first deep dive into a cloud-based infrastructure, where we will use Amazon Web Services (AWS) to build a scalable solution. This includes: Creating a sample index.

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AWS Clustering Deep Learning Deep Learning 119

PyImageSearch

FEBRUARY 17, 2025

It is designed to enhance the performance of generative models by providing them with highly relevant context retrieved from a large database or knowledge base. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

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Deep Learning Deep Learning AI AI 98

AWS Machine Learning Blog

JUNE 3, 2025

Amazon Simple Storage Service (Amazon S3) provides secure storage for conversation logs and supporting documents, and Amazon Bedrock powers the core natural language processing capabilities. In the process of implementation, we discovered that Anthropics Claude 3.5

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AWS AI AI Machine Learning 97

Flipboard

APRIL 16, 2025

LLMs are large deep learning models that are pre-trained on vast amounts of data. Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities.

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AWS Database AI AI 109

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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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 120

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 96

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

MARCH 5, 2025

Or was the database password for the central subscription service rotated again? For example, in a scenario involving database access failures, the Logs Tool might identify a new spike in the number of error messages such as FATAL: password authentication failed compared to the previous hour. Did an internal TLS certificate expire?

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AWS AI AI Machine Learning 119

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