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OpenAI Faces Defamation Lawsuit as ChatGPT Generates False Accusations Against Radio Host

Analytics Vidhya

OpenAI, the renowned artificial intelligence company, is now grappling with a defamation lawsuit stemming from the fabrication of false information by their language model, ChatGPT.

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Self Hosting RAG Applications On Edge Devices with Langchain and Ollama–Part II

Analytics Vidhya

Now, […] The post Self Hosting RAG Applications On Edge Devices with Langchain and Ollama–Part II appeared first on Analytics Vidhya. Introduction In the second part of our series on building a RAG application on a Raspberry Pi, we’ll expand on the foundation we laid in the first part, where we created and tested the core pipeline.

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Topic Modeling: Predicting Multiple Tags of Research Articles using OneVsRest strategy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Recently I participated in an NLP hackathon — “Topic Modeling for Research Articles 2.0”. This hackathon was hosted by the Analytics Vidhya platform as a part of their HackLive initiative.

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Self Hosting RAG Applications On Edge Devices with Langchain and Ollama – Part I

Analytics Vidhya

We’ll guide you through setting up the Raspberry Pi, installing the […] The post Self Hosting RAG Applications On Edge Devices with Langchain and Ollama – Part I appeared first on Analytics Vidhya. This article follows that journey, showing how to transform this small device into a capable tool for smart document processing.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Why you should care about debugging machine learning models

O'Reilly on Data

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

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Brave Leo Enhances Browser Experience with Mixtral 8x7B AI Assistant Integration

Analytics Vidhya

In a significant desktop browser update (v1.62), Brave Leo, the AI browser assistant, has incorporated Mixtral 8x7B as its default large language model (LLM). Mistral AI’s Mixtral 8x7B, known for its speed and superior performance, now powers Leo, bringing a host of improvements to the user experience.