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LangChain: Automating Large Language Model (LLM) Evaluation

Analytics Vidhya

Introduction Large Language Models (LLMs) have captivated the world with their ability to generate human-quality text, translate languages, summarize content, and answer complex questions. Prominent examples include OpenAI’s GPT-3.5, Google’s Gemini, Meta’s Llama2, etc.

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A Deep Dive into Retrieval-Augmented Generation in LLM

Unite.AI

When fine-tuned, they can achieve remarkable results on a variety of NLP tasks. OpenAI's ChatGPT Gets a Browsing Upgrade OpenAI's recent announcement about ChatGPT's browsing capability is a significant leap in the direction of Retrieval-Augmented Generation (RAG). It is no longer limited to data before September 2021.

LLM 298
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AI News Weekly - Issue #383: New York Daily News, Chicago Tribune, and others sue OpenAI and Microsoft - May 2nd 2024

AI Weekly

In the News Coalition of news publishers sue Microsoft and OpenAI A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. Planning a GenAI or LLM project?

OpenAI 147
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Support for Azure OpenAI Service plus GPT Prompt-Based Classification in NLP Lab 5.5

John Snow Labs

We are thrilled to announce the release of NLP Lab version 5.5, This update introduces integration with Azure OpenAI Service that provides organizations with access to OpenAI’s models with added layers of enterprise-grade capabilities, offering enhanced security, compliance, and governance features that are crucial for large organizations.

NLP 52
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Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

John Snow Labs

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. And truly, there can’t be an effective RAG without an NLP library that is production-ready, natively distributed, state-of-the-art, and user-friendly. We’re excited to unveil Spark NLP 5.1

NLP 98
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Large Language Models with Scikit-learn: A Comprehensive Guide to Scikit-LLM

Unite.AI

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

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Mastering Prompt Engineering for LLM Applications with LangChain

Analytics Vidhya

Learn to master prompt engineering for LLM applications with LangChain, an open-source Python framework that has revolutionized the creation of cutting-edge LLM-powered applications. Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants.