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Comprehending AI System Prompts and the Impact of Zero-shot versus Few-shot Prompting in Artificial Intelligence

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 1, 202438Views0Likes0Comments
Within the world of Artificial Intelligence (AI), system prompts and the concepts of zero-shot and few-shot prompting have revolutionized the interaction between humans and Large Language Models (LLMs). These methods enhance the effectiveness and applicability of LLMs by guiding AI models to produce accurate and contextually appropriate responses. Essentially, system prompts serve as the initial instructions…

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Stanford scientists suggest SleepFM: A fresh comprehensive foundational model for sleep study.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Multimodal AI, Staff, Tech News, Technology, UncategorizedJune 1, 202437Views0Likes0Comments
Sleep medicine is a specialized field dedicated to the diagnosis of sleep disorders and the study of sleep patterns. Various techniques, such as polysomnography (PSG), which is a recording of brain, heart, and respiratory activities during sleep, allow medical professionals to have an in-depth understanding of a person's sleep health. Due to the complexity of sleep…

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The Advent of Extremely Compact Language Models (STLMs) for Eco-friendly AI Revolutionizes the Field of NLP.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 31, 202435Views0Likes0Comments
Large Language Models (LLMs) have transformed natural language processing (NLP), making related applications such as machine translation, sentiment analysis, and conversational agents more precise and efficient. However, the significant computational and energy needs of these models have raised sustainability and accessibility concerns. LLMs, containing billions of parameters, need extensive resources for training and implementation. Their high-level…

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Mistral AI has launched Codestral, a hefty generative AI model for coding tasks that is open-sourced. Notably, this model has been trained across more than 80 programming languages, Python included.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 30, 202431Views0Likes0Comments
Mistral AI has introduced Codestral-22B, a groundbreaking code generation model setting new standards in the application of artificial intelligence (AI) for software development. Codestral is geared towards enhancing coding capabilities and making the development process more streamlined for developers. Codestral operates as an open-weight generative AI model, primarily covering code generation tasks. It supports over 80…

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What is the concept of AI Agents? Learn how to create one by grasping the fundamental principles.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 30, 202437Views0Likes0Comments
AI agents are intelligent entities that can perceive, analyze, and act upon information from their environments to fulfill specific objectives. AI agents can be either software-based or physical entities using AI methodologies to function, and are characterized by their rationality, autonomy, perception, behavior, adaptation, and learning capacity. AI agents are classified into different types, including simple…

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Google AI launches AGREE, a machine learning platform that endows large language models with the ability to autonomously evaluate their responses and offer detailed references.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 30, 202438Views0Likes0Comments
The accuracy of Large Language Models (LLMs) such as Google's GPT (Generative Pre-trained Transformer) is vital, particularly when it comes to producing content that needs to be factually correct, such as educational content or news reports. However, despite their abilities, LLMs often generate plausible but incorrect information, a phenomenon known as "hallucination." Google AI researchers have…

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Improving Answer Selection in Community Question Answering using Question-Answer Cross Attention Networks (QAN)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 30, 202433Views0Likes0Comments
Community Question Answering (CQA) platforms like Quora, Yahoo! Answers, and StackOverflow are popular online forums for information exchange. However, due to the variable quality of responses, users often struggle to sift through myriad answers to find pertinent information. Traditional methods of answer selection in these platforms include content/user modeling and adaptive support. Still, there's room…

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The Emergence of Retrieval-Augmented Generation (RAG) in AI: The Ascend in Artificial Intelligence

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, RAG, Staff, Tech News, Technology, UncategorizedMay 29, 202434Views0Likes0Comments
Artificial Intelligence (AI) and data science are fast-growing fields, with the development of Agentic Retrieval-Augmented Generation (RAG), a promising evolution that seeks to improve how information is utilized and managed compared to current RAG systems. Retrieval-augmented generation (RAG) refines large language model (LLM) applications through the use of bespoke data. By consulting external authoritative knowledge bases…

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