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Meet PyRIT: A Python Risk Identification Tool for Generative AI to Empower Machine Learning Engineers Niharika Singh Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In today’s rapidly evolving era of artificial intelligence, there’s a concern surrounding the potential risks tied to generative models. These models, known as Large Language Models (LLMs), can sometimes produce misleading, biased, or harmful content. As security professionals and machine learning engineers grapple with… Read More »Meet PyRIT: A Python Risk Identification Tool for Generative AI to Empower Machine Learning Engineers Niharika Singh Artificial Intelligence Category – MarkTechPost

Can AI Keep Up in Long Conversations? Unveiling LoCoMo, the Ultimate Test for Dialogue Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Recent advancements in AI have significantly impacted the field of conversational AI, particularly in the development of chatbots and digital assistants. These systems aim to mimic human-like conversations, providing users with more natural and engaging interactions. As these technologies evolve, one area of increasing… Read More »Can AI Keep Up in Long Conversations? Unveiling LoCoMo, the Ultimate Test for Dialogue Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

Privacy-Preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials Apple Machine Learning Research

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​In accordance with the principle of “data minimization,” many internet companies are opting to record less data. However, this is often at odds with A/B testing efficacy. For experiments with units with multiple observations, one popular data-minimizing technique is to aggregate data for each unit.… Read More »Privacy-Preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials Apple Machine Learning Research

Enhancing Autoregressive Decoding Efficiency: A Machine Learning Approach by Qualcomm AI Research Using Hybrid Large and Small Language Models Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. One of the primary challenges in NLP is the computational demand for autoregressive decoding in LLMs.… Read More »Enhancing Autoregressive Decoding Efficiency: A Machine Learning Approach by Qualcomm AI Research Using Hybrid Large and Small Language Models Nikhil Artificial Intelligence Category – MarkTechPost

Revolutionizing Data Annotation: The Pivotal Role of Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) such as GPT-4, Gemini, and Llama-2 are at the forefront of a significant shift in data annotation processes, offering a blend of automation, precision, and adaptability previously unattainable with manual methods. The traditional approach to data annotation, a meticulous process… Read More »Revolutionizing Data Annotation: The Pivotal Role of Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

Harmonizing Data: A Symphony of Segmenting, Concatenating, Pivoting, and Merging Vinod Chugani MachineLearningMastery.com

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​[[{“value”:” In the world of data science, where raw information swirls in a cacophony of numbers and variables, lies the art of harmonizing data. Like a maestro conducting a symphony, the skilled data scientist orchestrates the disparate elements of datasets, weaving them together into a… Read More »Harmonizing Data: A Symphony of Segmenting, Concatenating, Pivoting, and Merging Vinod Chugani MachineLearningMastery.com

This Paper Explores the Synergistic Potential of Machine Learning: Enhancing Interpretability and Functionality in Generalized Additive Models through Large Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the significantly advancing fields of data science and Artificial Intelligence (AI), the combination of interpretable Machine Learning (ML) models with Large Language Models (LLMs) has represented a major breakthrough. By combining the best features of both strategies, this strategy improves the usability and… Read More »This Paper Explores the Synergistic Potential of Machine Learning: Enhancing Interpretability and Functionality in Generalized Additive Models through Large Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

This AI Paper from CMU and Meta AI Unveils Pre-Instruction-Tuning (PIT): A Game-Changer for Training Language Models on Factual Knowledge Vineet Kumar Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the fast-paced world of artificial intelligence, the challenge of keeping large language models (LLMs) up-to-date with the latest factual knowledge is paramount. These models, which have become the backbone of numerous AI applications, store a wealth of information during their initial training phase.… Read More »This AI Paper from CMU and Meta AI Unveils Pre-Instruction-Tuning (PIT): A Game-Changer for Training Language Models on Factual Knowledge Vineet Kumar Artificial Intelligence Category – MarkTechPost

Enhancing AI’s Foresight: The Crucial Role of Discriminator Accuracy in Advanced LLM Planning Methods Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The ability of systems to plan and execute complex tasks stands as a testament to AI’s progress. Panning within AI has been approached through various methodologies, ranging from basic decision-making processes to complex algorithms designed to simulate the foresight and adaptability of human intelligence.… Read More »Enhancing AI’s Foresight: The Crucial Role of Discriminator Accuracy in Advanced LLM Planning Methods Sana Hassan Artificial Intelligence Category – MarkTechPost