Data Science Dojo

DECEMBER 20, 2024

For tasks like classification and question-answering, F1-Score , Precision , and Recall ensure relevant information is captured with minimal errors. This benchmark evaluates the versatility and adaptability of a model in handling diverse question types, making it essential for applications in customer support and information retrieval.

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Eugene Yan

JUNE 21, 2025

Although some of these evaluation challenges also appear in shorter contexts, long-context evaluation amplifies issues such as: Information overload: Irrelevant details in large documents obscure relevant facts, making it harder for retrievers and models to locate the right evidence for the answer. A study by Xu et al.

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Analytics Vidhya

JANUARY 6, 2025

Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Flask and Vector Embedding appeared first on Analytics Vidhya.

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KDnuggets

JUNE 17, 2025

By Jayita Gulati on June 17, 2025 in Language Models Image by Author | Ideogram Information is everywhere today, but attention is scarce, and so mastering how we learn has become more important than ever. These are based solely on your uploaded sources, making them a reliable path to synthesize and organize information.

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Analytics Vidhya

OCTOBER 29, 2024

RAG allows AI systems to dynamically access and utilize external information. In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG.

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Analytics Vidhya

DECEMBER 27, 2024

Retrieval-Augmented Generation is a technique that enhances the capabilities of large language models by integrating information retrieval processes into their operation. Corrective RAG (CRAG) is an advanced strategy within the […] The post Corrective RAG (CRAG) in Action appeared first on Analytics Vidhya.

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Data Science Dojo

JULY 7, 2025

They require the deliberate design and orchestration of context: the full set of information, memory, and external tools that shape how an AI model reasons and responds. Context engineering is the systematic design, construction, and management of all information—both static and dynamic—that surrounds an AI model during inference.

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Data Science Dojo

NOVEMBER 8, 2024

Businesses can deploy these chatbots to provide instant responses to common questions, guide users through troubleshooting procedures, and offer detailed information about products and services. is a valuable tool for news agencies and research institutions that need to process and summarize large volumes of information quickly.

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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.

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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.

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KDnuggets

JUNE 11, 2025

Instead of generating answers from parameters, the RAG can collect relevant information from the document. A retriever is used to collect relevant information from the document. On top of that, this agent should use the content by including relevant hotel information in this proposal for business events or campaigns.

Data Scientist 232

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insideBIGDATA

APRIL 23, 2025

April 9, 2025 Leidos (NYSE:LDOS), an information technology company for governments, and Moveworks, an agentic artificial intelligence assistant for enterprises, are collaborating with the aim of increasing efficiency of government workers in the U.S., Reston, Va., and Australia.

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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).

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Analytics Vidhya

JUNE 26, 2025

It helps large language models (LLMs) perform better by letting them check information outside their training data before creating a response. This means LLMs can work well with specific company knowledge or new information without costly retraining.

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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.

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Dataconomy

JULY 9, 2025

These risks stem from two sources: the data used to train the models and the personal information exposed during user interactions. Can users find information about model training? Microsoft and Meta made this information somewhat difficult to find. Meta and DeepSeek share personal information across corporate entities.

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KDnuggets

JULY 11, 2025

Dynamic systems adapt prompts based on user context, previous interactions, and specific requirements through template systems that insert relevant information, conditional logic that adjusts prompting strategies, and feedback loops that improve prompts based on user satisfaction.

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Flipboard

JULY 9, 2025

Large language models (LLMs) are only as accurate as the information they can retrieve. As generative AI reshapes industries, one of its most important yet invisible challenges is retrieval, the process of fetching the right data with relevant context from messy knowledge bases. That’s where …

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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.

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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.

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Analytics Vidhya

JULY 8, 2025

It might be difficult to look for the right solution for you, based on the vast amount of information out there. Are you an AI engineer, wondering how to attain resources that can put your skills to a practical test?

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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

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Data Science Dojo

APRIL 7, 2025

But with great power comes great responsibility, especially when it comes to protecting peoples personal information. It is the process of removing or altering any information that can be traced back to an individual. IP addresses are classified as personally identifiable information (PII) under laws like the GDPR.

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Machine Learning Research at Apple

JULY 9, 2025

While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite behavioral data often being more informative due to their alignment with physiologically relevant timescales and quantities. We develop foundation models of such behavioral signals using over 2.5B

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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

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Hacker News

JUNE 20, 2025

Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a Haystack (NIAH) test. However, while models excel at recalling surprising information, they still struggle to identify clearly omitted information.

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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.

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Dataconomy

DECEMBER 6, 2024

As a result, victims may become increasingly vulnerable to revealing sensitive information. Users are advised to hang up if they receive suspicious calls and independently verify the caller’s identity by searching for and using verified contact information. Featured image credit: David Trinks

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