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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps.

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Bridging Large Language Models and Business: LLMops

Unite.AI

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast datasets encompassing a broad spectrum of internet text.

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The Vulnerabilities and Security Threats Facing Large Language Models

Unite.AI

Large language models (LLMs) like GPT-4, DALL-E have captivated the public imagination and demonstrated immense potential across a variety of applications. Modern LLMs like OpenAI's GPT-3 contain upwards of 175 billion parameters, several orders of magnitude more than previous models.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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Understanding Key Terminologies in Large Language Model (LLM) Universe

Marktechpost

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

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This Machine Learning Paper Introduces JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Marktechpost

Comparing three jailbreaking attack artifacts within JailbreakBench, Llama-2 demonstrates greater robustness than Vicuna and GPT models, likely because of explicit fine-tuning on jailbreaking prompts. The AIM template from JBC effectively targets Vicuna but fails on Llama-2 and GPT models, potentially due to patching by OpenAI.

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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. and the user-friendly environment of Scikit-learn. Installation %%capture !pip