KDnuggets

JUNE 18, 2025

Follow the installation process outlined in the documentation, and you will see a new tab in your Jupyter Notebook labeled Nbextensions. Cornellius writes on a variety of AI and machine learning topics. Select that tab, and you will see the extension list as shown below.

Data Scientist 248

Data Scientist Natural Language Processing Data Science Machine Learning 248

KDnuggets

JUNE 13, 2025

By Abid Ali Awan , KDnuggets Assistant Editor on June 13, 2025 in Programming Image by Author Claude Opus 4 is Anthropics most advanced and powerful AI model to date, setting a new benchmark for coding, reasoning, and long-running tasks. Documentation Updates: Automatically update documentation based on code changes.

Natural Language Processing 314

Natural Language Processing Data Science Machine Learning Machine Learning 314

Dataconomy

APRIL 21, 2025

Natural language processing (NLP) is a fascinating field at the intersection of computer science and linguistics, enabling machines to interpret and engage with human language. What is natural language processing (NLP)? Streamlining customer support using AI-driven chatbots.

Natural Language Processing 91

Natural Language Processing Deep Learning Deep Learning Computer Science 91

KDnuggets

JUNE 23, 2025

Document and Test : Keep thorough documentation and perform unit tests on ML workflows. Version Control : Maintain version control for code, data, and models. Standardize Workflows : Use MLFlow Projects to ensure reproducibility. Monitor Models : Continuously track performance metrics for production models.

Machine Learning 227

Machine Learning Machine Learning Natural Language Processing Data Science 227

KDnuggets

JULY 4, 2025

Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. She co-authored the ebook "Maximizing Productivity with ChatGPT". As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence.

Machine Learning 237

Machine Learning Machine Learning Natural Language Processing Data Science 237

KDnuggets

JUNE 19, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?

Python 283

Python Natural Language Processing Data Science Machine Learning 283

KDnuggets

JUNE 10, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. You can find the complete installation guide in the official DuckDB documentation.

Python 269

Python Analytics Analytics SQL 269

Data Science Dojo

NOVEMBER 18, 2024

You can find more details about necessary headers in your API documentation. Learn more about AI agent workflows in this LangGraph tutorial We’ll get started with a simple ReAct agent pre-provided within LangGraph. The requests wrapper parameters include any authentication headers or otherwise that the API may require.

Natural Language Processing 418

Natural Language Processing Python Data Science AI 418

Hacker News

JUNE 26, 2025

the billions of documents, images, or videos on the Web). While this multi-vector approach boosts accuracy and enables retrieving more relevant documents, it introduces substantial computational challenges. Given a query from a user (e.g., “How

Algorithm 178

Algorithm Natural Language Processing Data Mining Data Mining 178

KDnuggets

JUNE 11, 2025

By Abid Ali Awan , KDnuggets Assistant Editor on June 11, 2025 in Artificial Intelligence Image by Author MCPs (Model Context Protocols) are quickly becoming the backbone of modern AI tooling. MCP servers are lightweight programs or APIs that expose real-world tools like databases, file systems, or web services to AI models.

Natural Language Processing 183

Natural Language Processing Data Science Machine Learning Machine Learning 183

Data Science Dojo

JANUARY 21, 2024

Anyhow, with the exponential growth of digital data, manual document review can be a challenging task. Hence, AI has the potential to revolutionize the eDiscovery process, particularly in document review, by automating tasks, increasing efficiency, and reducing costs.

Natural Language Processing 221

Natural Language Processing AI AI Machine Learning 221

Data Science Dojo

DECEMBER 20, 2024

This blog delves into the significance of popular benchmarks for LLM and explores some of the most influential LLM benchmarks shaping the future of AI. Beyond ranking, MMLU checks if a model can transfer knowledge between areas, crucial for adaptable AI. What is LLM Benchmarking?

AI 418

AI AI Data Analysis Data Analysis 418

KDnuggets

JUNE 24, 2025

Traditional methods of understanding code structures involve reading through numerous files and documentation, which can be time-consuming and error-prone. Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine.

Natural Language Processing 173

Natural Language Processing Data Science Machine Learning Machine Learning 173

Eugene Yan

JUNE 21, 2025

eugeneyan Start Here Writing Speaking Prototyping About Evaluating Long-Context Question & Answer Systems [ llm eval survey ] · 28 min read While evaluating Q&A systems is straightforward with short paragraphs, complexity increases as documents grow larger. Here’s a 35% discount code.

Clustering 268

Clustering Natural Language Processing AI AI 268

Flipboard

JUNE 9, 2025

Downloading files for months until your desktop or downloads folder becomes an archaeological dig site of documents, images, and videos. Features to include: Auto-categorization by file type (documents, images, videos, etc.) Don’t let AI generate the content for you, though. It’s your opinions and insights that matter.

Python 147

Python Natural Language Processing Data Science Machine Learning 147

Flipboard

APRIL 23, 2025

Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. This solution improves the findability and accessibility of archival records by automating metadata enrichment, document classification, and summarization.

AWS 96

AWS ML ML Natural Language Processing 96

Data Science Dojo

JULY 22, 2023

In the field of software development, generative AI is already being used to automate tasks such as code generation, bug detection, and documentation. Generative AI is a rapidly growing field of artificial intelligence that is transforming the way we interact with the world around us.

AI 370

AI AI Natural Language Processing Artificial Intelligence 370

KDnuggets

JUNE 17, 2025

Once the logs indicate that the server is running and ready, you can explore the automatically generated API documentation here. This interactive documentation provides details about all available endpoints and allows you to test them directly from your browser.

Natural Language Processing 171

Natural Language Processing Machine Learning Machine Learning Data Science 171

Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

AWS 146

AWS AI AI Machine Learning 146

Data Science Dojo

SEPTEMBER 28, 2023

LlamaIndex is an orchestration framework for large language model (LLM) applications. LLMs like GPT-4 are pre-trained on massive public datasets, allowing for incredible natural language processing capabilities out of the box. The data is converted into a simple document format that is easy for LlamaIndex to process.

Natural Language Processing 435

Natural Language Processing Database Data Science Analytics 435

Analytics Vidhya

NOVEMBER 5, 2023

Introduction Innovative techniques continually reshape how machines understand and generate human language in the rapidly evolving landscape of natural language processing.

Database 336

Database Natural Language Processing Analytics Analytics 336

Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

AWS 159

AWS Natural Language Processing Machine Learning Machine Learning 159

AWS Machine Learning Blog

MAY 15, 2025

The banking industry has long struggled with the inefficiencies associated with repetitive processes such as information extraction, document review, and auditing. This is where Apoidea Group , a leading AI-focused FinTech independent software vendor (ISV) based in Hong Kong, has made a significant impact.

AWS 93

AWS ML ML Machine Learning 93

Data Science Dojo

AUGUST 31, 2023

This development involves the creation of advanced AI software, such as Jais, an open-source Arabic Large Language Model (LLM) with high-quality capabilities. This initiative addresses the gap in the availability of advanced language models for Arabic speakers.

Natural Language Processing 370

Natural Language Processing AI AI Artificial Intelligence 370

Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). Their significance lies in their ability to understand, interpret, and generate human language based on vast amounts of data.

Natural Language Processing 369

Natural Language Processing Deep Learning Deep Learning Predictive Analytics 369

Data Science Dojo

NOVEMBER 5, 2024

The learning program is typically designed for working professionals who want to learn about the advancing technological landscape of language models and learn to apply it to their work. It covers a range of topics including generative AI, LLM basics, natural language processing, vector databases, prompt engineering, and much more.

Data Science 195

Data Science Azure Natural Language Processing Database 195

AWS Machine Learning Blog

NOVEMBER 13, 2024

The financial and banking industry can significantly enhance investment research by integrating generative AI into daily tasks like financial statement analysis. Generative AI models can automate finding and extracting financial data from documents like 10-Ks, balance sheets, and income statements.

AWS 115

AWS AI AI Natural Language Processing 115

AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

AWS 115

AWS AI AI Machine Learning 115

Data Science Dojo

OCTOBER 24, 2024

LangChain stands out by simplifying the development and deployment of LLM-powered applications , making it easier for businesses to integrate advanced AI capabilities into their processes. These advanced AI systems, trained on massive datasets, can produce human-like text with remarkable accuracy. What is LangChain?

Database 459

Database Natural Language Processing AI AI 459

AWS Machine Learning Blog

DECEMBER 17, 2024

This new capability from Amazon Bedrock offers a unified experience for developers of all skillsets to easily automate the extraction, transformation, and generation of relevant insights from documents, images, audio, and videos to build generative AI powered applications.

AWS 110

AWS AI AI Python 110

IBM Data Science in Practice

JANUARY 2, 2025

Transforming Healthcare Billing: Leveraging AI to Support Providers, Patients, Payers, and Prior Authorization Workflows By Cara Mulrooney and AnnaPiskun Introduction The U.S. Healthcare system faces persistent challenges due to its heavy reliance on manual processes and fragmented communication.

AI 100

AI AI Machine Learning Natural Language Processing 100

AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

AI 110

AI AI AWS Natural Language Processing 110

Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

AWS 143

AWS ML ML Machine Learning 143

Dataconomy

MARCH 21, 2025

Artificial intelligence (AI) is not just a buzzword; it is rapidly becoming a cornerstone of modern technology. From self-driving cars to virtual assistants, AI plays a critical role in enhancing our everyday experiences. What is artificial intelligence (AI)? What is artificial intelligence (AI)?

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 91

Flipboard

JANUARY 9, 2025

In India, the KYC verification usually involves identity verification through identification documents for Indian citizens, such as a PAN card or Aadhar card, address verification, and income verification. Generative AI assistants excel at handling these challenges.

AWS 159

AWS Machine Learning Machine Learning AI 159

AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

AWS 115

AWS AI AI Data Scientist 115

Towards AI

NOVEMBER 6, 2024

Author(s): Drewgelbard Originally published on Towards AI. Manually sifting through these documents is not only labor-intensive and time-consuming, but also prone to human error and inconsistency. Therefore, generic NLP models often fall short when applied directly to legal documents.

Exploratory Data Analysis 111

Exploratory Data Analysis EDA Data Analysis Data Analysis 111