KDnuggets.com
KDnuggets™ is a prominent platform focused on Business Analytics, Big Data, Data Mining, Data Science, and Machine Learning. The site is curated by Gregory Piatetsky-Shapiro (you can reach him at editor1 at kdnuggets) and Matthew Mayo (contact him at mattmayo at kdnuggets). This publication has earned over 50 accolades and recognitions for its excellence, including: - Listed among the 20 Data Industry Experts You Should Follow on Twitter by Churchill Frank in October 2017. - Recognized as one of the Top 10 Most Influential Brands in Big Data by Onalytica in May 2017. - Ranked No. 3 in Feedspot's Top 75 Data Science Blogs in January 2017. - Achieved the No. 1 spot in Agilience’s Top Authorities in Machine Learning in November 2016. - Topped Agilience’s rankings as the No. 1 Authority for Data Mining and No. 2 for Data Science in November 2016. - Placed No. 3 in Onalytica’s AI Intelligence & Machine Learning: Top 100 Influencers and Brands in March 2016. - Ranked No. 4 in Onalytica’s Big Data 2016: Top 100 Influencers in February 2016. - Included in InformationWeek's Twitter Top 10 Data Science, Analytics, and BI Feeds, alongside IBM Big Data & Analytics Heroes. - Featured in the top 30 People in Big Data and Analytics by Innovation Enterprise. - Highlighted in INFORMS for its contributions to the Analytics and Big Data fields. - Listed among 7 Business Analytics Gurus on Twitter by Information Management. - Voted as the Best Big Data Tweeter by Big Data Republic. - Featured in Forbes as one of the Top Influencers in Big Data.
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Articles
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3 days ago |
kdnuggets.com | Abid Ali Awan
During a talk with some machine learning engineers, I asked why we need to combine LangChain with multiple APIs and services to set up a retrieval augmented generation (RAG) pipeline. Why can't we have one API that handles everything — like document loading, parsing, embedding, reranking models, and vector storage — all in one place? It turns out, there is a solution called Mixedbread. This platform is fast, user-friendly, and provides tools for building and serving retrieval pipelines.
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5 days ago |
kdnuggets.com | Abid Ali Awan
Discover how to integrate Claude 4 into your workflow to solve complex coding challenges in minutes and supercharge productivity. Claude 4, the latest AI model from Anthropic, is making waves in the development community. Many engineers are hailing it as the best coding model available, capable of resolving year-long coding challenges in mere minutes, a truly remarkable featIn this article, we will explore five powerful ways to integrate Claude 4 into your workflow to supercharge productivity.
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1 week ago |
kdnuggets.com | Abid Ali Awan
By, KDnuggets Assistant Editor on May 28, 2025 in Language ModelsExplore list of top MCP servers that enable seamless integration of LLMs with tools like databases, APIs, communication platforms, and more, helping you automate workflows and enhance AI applications. MCP servers are the latest buzz in the AI landscape, and everyone seems eager to get a piece of the action.
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1 week ago |
kdnuggets.com | Abid Ali Awan
By, KDnuggets Assistant Editor on May 26, 2025 in ProgrammingEffortlessly run terminal commands, enhance projects with AI, collaborate with your team, and access features quickly, all through a sleek, modern interface designed for efficiency. As machine learning engineers or data scientists, we often spend countless hours in the terminal, running Python scripts, creating directories, executing shell commands, setting up development environments, and much more.
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2 weeks ago |
kdnuggets.com | Abid Ali Awan
Agents are systems that leverage large language models (LLMs) as reasoning engines to decide which actions to take and the inputs required to perform those actions. Once actions are executed, their results are fed back into the LLM to determine if further actions are necessary or if the task is complete. In this article, we will explore 7 popular agentic frameworks that enable you to build your own multi-agent applications in minutes.
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