Analytics Vidhya

JANUARY 21, 2025

Retrieval-Augmented Generation techniques improve model output by integrating relevant information during generation, but traditional RAG systems can be complex and resource-heavy. As Large Language Models continue to evolve at a fast pace, enhancing their ability to leverage external knowledge has become a major challenge.

Data Science 271

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Analytics Vidhya

NOVEMBER 13, 2024

In the age of information overload, it’s easy to get lost in the large amount of content available online. YouTube offers billions of videos, and the internet is filled with articles, blogs, and academic papers.

Analytics 262

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Analytics Vidhya

OCTOBER 26, 2024

Imagine if you could automate the tedious task of analyzing earnings reports, extracting key insights, and making informed recommendations—all without lifting a finger. In this article, we’ll walk you through how to create a multi-agent system using OpenAI’s Swarm framework, designed to handle these exact tasks.

Analytics 221

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Analytics Vidhya

DECEMBER 22, 2024

Web scraping has long been a vital technique for extracting information from the internet, enabling developers to gather insights from various domains. With the integration of Large Language Models (LLMs) like ChatGroq, web scraping becomes even more powerful, offering enhanced flexibility and precision.

Analytics 205

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Analytics Vidhya

NOVEMBER 18, 2024

In an era where artificial intelligence (AI) is tasked with navigating and synthesizing vast amounts of information, the efficiency and accuracy of retrieval methods are paramount. Anthropic, a leading AI research company, has introduced a groundbreaking approach called Contextual Retrieval-Augmented Generation (RAG).

Artificial Intelligence 207

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insideBIGDATA

JANUARY 26, 2023

Principal Scientist shared some fascinating information about how Interactions' Intelligent Virtual Assistants (IVAs) leverage advanced natural language understanding (NLU) models for "speech recognition" and "advanced machine learning." We asked our friends over at Interactions to do a deep dive into their technology. Interactions' Sr.

Machine Learning 544

Machine Learning Machine Learning AI AI 544

Analytics Vidhya

MARCH 17, 2025

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge, making responses more informative and context-aware. However, RAG fails in many scenarios, affecting its ability to generate accurate and relevant outputs.

Analytics 194

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Analytics Vidhya

DECEMBER 25, 2024

One useful application is building agents capable of searching the web to gather information and complete tasks. Creating AI agents that can interact with the real world is a great area of research and development. 70B appeared first on Analytics Vidhya.

Analytics 208

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Machine Learning Research at Apple

MARCH 13, 2025

These models use a masked prediction objective, where the model learns to predict information about masked input segments from the unmasked context. Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech data and then used for a range of downstream tasks.

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Analytics Vidhya

OCTOBER 14, 2024

Introduction In today’s digital world, Large Language Models (LLMs) are revolutionizing how we interact with information and services. LLMs are advanced AI systems designed to understand and generate human-like text based on vast amounts of data.

Deep Learning 223

Deep Learning Deep Learning Analytics Analytics 223

Analytics Vidhya

DECEMBER 4, 2024

However, their reliance on web-based operations raises significant privacy concerns, particularly when handling confidential company information. Several RAG-based tools, like NotebookLM and ChatPDF, can help extract insights from data.

Analytics 268

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Analytics Vidhya

NOVEMBER 8, 2024

Senior leaders, including CXOs, constantly face the challenge of having to quickly make informed decisions that shape the future of their organizations. This decision-making process can often become overwhelming, owing to the ever-increasing volume of data and the complexity of modern business.

Artificial Intelligence 223

Artificial Intelligence Artificial Intelligence AI AI 223

Analytics Vidhya

NOVEMBER 23, 2024

Missing values can arise for various reasons, such as errors in data collection, manual omissions, or even the natural absence of information. Handling missing data is one of the most common challenges in data analysis and machine learning.

Data Analysis 208

Data Analysis Data Analysis Machine Learning Machine Learning 208

Analytics Vidhya

NOVEMBER 12, 2024

Customer support calls hold a wealth of information, but finding the time to manually comb through these recordings for insights isn’t easy.

AI 206

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Analytics Vidhya

JANUARY 6, 2025

With so much happening in the Generative AI space, the need for tools that can efficiently process and retrieve information has never been greater. It combines document processing and web search integration to simplify information retrieval and analysis.

AI 208

AI AI Analytics Analytics 208

Analytics Vidhya

JANUARY 3, 2025

Web scraping has become an important tool essential for gathering useful information from the available websites. Of all the tools that are present, ScrapeGraphAI is unique as it can identify graphs and use Artificial Intelligence for web scraping.

Artificial Intelligence 223

Artificial Intelligence Artificial Intelligence Analytics Analytics 223

Analytics Vidhya

JANUARY 20, 2025

Its a common struggle – deciphering complex product information on the spot can be overwhelming and time-consuming. Have you ever found yourself staring at a products ingredients list, googling unfamiliar chemical names to figure out what they mean?

Analytics 207

Analytics Analytics AI AI 207

Analytics Vidhya

DECEMBER 11, 2024

One of the major challenges of naive RAG systems is getting the right retrieved context information to answer […] The post A Comprehensive Guide to Building Contextual RAG Systems with Hybrid Search and Reranking appeared first on Analytics Vidhya.

Analytics 207

Analytics Analytics AI AI 207

insideBIGDATA

JANUARY 26, 2024

In today's data-driven landscape, the seamless flow and integration of information are paramount for deriving meaningful insights. In this contributed article, IT Professional Subhadip Kumar draws attention to the significant roadblock that data silos present in the realm of Big Data initiatives.

Data Silos 448

Data Silos Big Data Big Data Big Data Analytics 448

Analytics Vidhya

JANUARY 22, 2025

Unlike other models that rely solely on pre-trained data, the Sonar API connects to the internet, ensuring responses are based on the latest information. Perplexity AI has launched the Sonar API, designed to provide real-time, accurate, and citation-backed answers for AI applications.

Analytics 206

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Flipboard

NOVEMBER 15, 2024

The Data Catalog provides a unified interface to store and query information about data formats, schemas, and sources. You can send the table information from the Data Catalog as context in your prompt without exceeding the context window (the number of input tokens that most Amazon Bedrock models accept). Build the prompt.

AWS 148

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Data Science Dojo

OCTOBER 8, 2023

This allows psychologists and educators to understand the distribution of intelligence levels and make informed decisions regarding education programs and interventions. Heights of adult males in a given population often exhibit a normal distribution. This information aids in maintenance planning and ensuring uninterrupted operation.

Data Science 538

Data Science Clustering Data Scientist Data Analysis 538

insideBIGDATA

DECEMBER 22, 2023

In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering innovative solutions for content generation, programming assistance, and natural language processing.

Natural Language Processing 434

Natural Language Processing AI AI Big Data 434

Hacker News

JANUARY 30, 2025

Information like serial number and sometime the print time is encoded in these dots. About the tracking dots Most home and office printers add metadata to printed sheets in the form of very tiny yellow dots (sometimes called a machine identification code) that cant be seen with the naked eye.

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Machine Learning Research at Apple

APRIL 1, 2025

This is to the detriment of prosody--additional information carried by the speech signal beyond the phonetics of the words themselves and difficult to recover from text alone. By isolating prosodic and lexical information on the SLUE-SQA-5 dataset, which consists of

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insideBIGDATA

APRIL 22, 2024

In this contributed article, Dr. Chirag Shah, professor in the Information School at the University of Washington, highlights how we are at a crossroads in our relationship with AI where what we choose now can have a huge impact on the future of AI and that of humanity. So the question is -- how do we make good choices?

AI 397

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Analytics Vidhya

DECEMBER 3, 2024

In the fast-growing area of digital healthcare, medical chatbots are becoming an important toolfor improving patient care and providing quick, reliable information. This article explains how to build a medical chatbot that uses multiple vectorstores.

Analytics 207

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Flipboard

NOVEMBER 19, 2024

Key challenges include the need for ongoing training for support staff, difficulties in managing and retrieving scattered information, and maintaining consistency across different agents’ responses. Information repository – This repository holds essential documents and data that support customer service processes.

AWS 152

AWS AI AI ML 152

Analytics Vidhya

OCTOBER 21, 2024

This tool will use a vision model to infer the information. With this blog, I would like to show one small agent built-in with `LangGraph` and Google Gemini for research purposes. The objective is to demonstrate one research agent (Paper-to-Voice Assistant) who plans to summarize the research paper.

AI 205

AI AI Analytics Analytics 205

Flipboard

DECEMBER 18, 2024

“Carbon will make it easier for Perplexity’s answer engine to be informed by diverse sources of information, whether that data resides in internal databases, cloud storage, or document repositories.” ” Carbon raised a $1.3 million seed round in 2023.

Computer Science 158

Computer Science Computer Science Database AI 158