Data Science Dojo

OCTOBER 23, 2023

Any serious applications of LLMs require an understanding of nuances in how LLMs work, embeddings, vector databases, retrieval augmented generation (RAG), orchestration frameworks, and more. Vector Similarity Search This video explains what vector databases are and how they can be used for vector similarity searches.

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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). A few years back, two groundbreaking models, BERT and GPT, emerged as game-changers.

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Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

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Towards AI

FEBRUARY 3, 2025

Why is it being heralded as the future of artificial intelligence? DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). With numbers estimating 46 million users and 2.6M

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Flipboard

JULY 4, 2023

Large Language Models have shown immense growth and advancements in recent times. The field of Artificial Intelligence is booming with every new release of these models. What are Vector Databases? This is because vector embeddings are the only sort of data that a vector database is intended to store and retrieve.

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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.

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Data Science Dojo

NOVEMBER 3, 2023

Large language models, like GPT-3.5, have revolutionized the field of natural language processing. These models are at the forefront of advancements in artificial intelligence and natural language processing. Link to channel     Start learning large language models today!

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Flipboard

APRIL 24, 2025

These tables house complex domain-specific schemas, with instances of nested tables and multi-dimensional data that require complex database queries and domain-specific knowledge for data retrieval. The solution uses the data domain to construct prompt inputs for the generative LLM.

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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.

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless.

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Dataconomy

FEBRUARY 7, 2025

Artificial intelligence is already generating significant revenue for banks, and its future advancements promise even greater benefits. The RAG system combines machine learning and natural language processing with a vast database of industry-specific information, enabling AI to provide highly accurate responses on professional topics.

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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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Data Science Dojo

MARCH 18, 2024

RAG and finetuning: You’ve likely seen these terms tossed around on social media, hailed as the next big leap in artificial intelligence. Retrieval The process starts when a user asks a query, and the model needs to find information beyond its training data. But what exactly is a vector database? Why use RAG?

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Dataconomy

AUGUST 31, 2023

Artificial intelligence (AI) is one of the most frequently discussed topics nowadays. Unfortunately, they have to fill out similar forms, look for the needed client in the database, and switch between different channels. How can we use it for content generation? Will AI technologies replace humans?

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Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. Diagrams ⚡PRO BUILDER⚡ The Diagrams Pro Builder excels at visualizing codes and databases. Other outputs include database diagrams and code visualizations. What is OpenAI’s GPT Store?

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Dataconomy

APRIL 30, 2025

This innovation leverages several technologies such as optical character recognition (OCR), natural language processing (NLP), and machine learning to streamline document-centric processes. This stage involves checking the extracted data against existing databases to identify and rectify discrepancies.

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Data Science Dojo

AUGUST 18, 2023

Transformers are a type of neural network that are well-suited for natural language processing tasks. They are able to learn long-range dependencies between words, which is essential for understanding the nuances of human language. AGI is a type of artificial intelligence that can understand and reason like a human being.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Solution overview Typically, a three-tier software application has a UI interface tier, a middle tier (the backend) for business APIs, and a database tier. It can generate and explain code snippets for UI and backend tiers in the language of your choice to improve developer productivity and facilitate rapid development of use cases.

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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. This technology is vital for handling complex data patterns.

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Dataconomy

SEPTEMBER 18, 2023

Conjunctive normal form (CNF) stands as a critical puzzle piece for artificial intelligence and machine learning applications. Conjunctive normal form, which is actually a mathematical theorem, has been helping us for years to process complicated data. But why is CNF so indispensable?

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Data Science Dojo

MAY 24, 2024

Artificial Intelligence is reshaping industries around the world, revolutionizing how businesses operate and deliver services. This interdisciplinary nature of AI engineering makes it a critical field for businesses looking to leverage AI to enhance their operations and competitive edge.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and Machine Learning algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”.

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Dataconomy

APRIL 8, 2025

Text generation inference represents a fascinating frontier in artificial intelligence, where machines not only process language but also create new content that mimics human writing. How AI creates original text AI generates original text by utilizing advanced algorithms that leverage data from extensive databases.

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O'Reilly Media

NOVEMBER 19, 2024

Store these chunks in a vector database, indexed by their embedding vectors. While the overall process may be more complicated in practice, this is the gist. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings. Split each document into chunks.

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Flipboard

NOVEMBER 17, 2023

The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as document repositories, databases, or APIs, to make foundation models effective for domain-specific tasks. Its vector data store seamlessly integrates with operational data storage, eliminating the need for a separate database.

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Flipboard

JULY 24, 2023

It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS. It also helps in generating information and producing more data with the help of the Natural Language Processing technique.

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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. Both Drive Technological Innovation: Transform industries with intelligent systems.

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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. It equips you to build and deploy intelligent systems confidently and efficiently.

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Dataconomy

JANUARY 7, 2025

AI-powered meeting management: An emerging solution AI tools for meeting management leverage technologies like natural language processing (NLP) and machine learning to automatically capture and categorize key meeting content. These tools take the unstructured data produced during meetings into a searchable, actionable database.

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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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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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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. As in other industries, cybersecurity relies heavily on human intervention.

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Dataconomy

AUGUST 3, 2023

Artificial Intelligence of Things (AIoT) : It’s a combination of Artificial Intelligence (AI) and IoT (Internet-connected hardware) that improves access control and personal security. For example, facial recognition software can identify potential threats or be used to speed up the check-in process at airports.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction – The manual data extraction process to analyze financial statements can be time-consuming and prone to human errors.

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IBM Journey to AI blog

APRIL 16, 2024

This addresses data management, conversational interface and natural language processing needs with efficiency. IBM Db2 : A reliable, high-performance database built for enterprise-level applications, designed to efficiently store, analyze and retrieve data.

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