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Even though we may anticipate large language models to operate similarly to humans, they do not.

Algorithms, Artificial Intelligence, Computer science and technology, Economics, Human-computer interaction, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Humanities Arts and Social Sciences, UncategorizedJuly 23, 202433Views0Likes0Comments
Large language models (LLMs), such as GPT-3, are powerful tools due to their versatility. They can perform a wide range of tasks, ranging from helping draft emails to assisting in cancer diagnosis. However, their wide applicability makes them challenging to evaluate systematically, as it would be impossible to create a benchmark dataset to test a…

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Personalized AI Approach & Strategy to Handle Possible Global Unemployment

Guest Post, UncategorizedJuly 23, 202434Views0Likes0Comments
Artificial Intelligence (AI) has transformed various sectors, including healthcare, finance, and transport. However, concerns remain about job displacement and potential global joblessness due to automation. Understanding the scope of potential joblessness is crucial. Certain sectors, like manufacturing, transportation, and customer service, are more susceptible to automation while others, like healthcare, education, and creative industries, are…

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Three Insights From Effective Implementations of Stroke CareCo

Adoption, C-Suite, Expert Perspectives, Strategy & Implementation, System Integration, Technology, UncategorizedJuly 23, 202446Views0Likes0Comments
In the high-speed field of stroke care, artificial intelligence (AI) can significantly impact patient results, with Aidoc’s Stroke Care Coordination (CareCo) App being a prime example. The app has transformed stroke care delivery across multiple partner facilities through three key characteristics of its successful implementation - dynamic project champions, establishing clear success metrics, and comprehensive…

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LLM training resistance can be effortlessly evaded using prompts in past tense.

AI risks, Industry, LLMS, UncategorizedJuly 23, 202435Views0Likes0Comments
Scientists from the Swiss Federal Institute of Technology Lausanne (EPFL) have discovered a flaw in the refusal training of modern language learning models (LLMs) that is easily bypassed through the mere use of past tense when inputting dangerous prompts. When interacting with artificial intelligence (AI) models such as ChatGPT, certain responses are programmed to be…

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Cake: A Rust-Based Framework for Distributed Computation of Massive Models, such as LLama3, utilizing Candle.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedJuly 23, 202434Views0Likes0Comments
The traditional model of running large-scale Artificial Intelligence applications typically relies on powerful yet expensive hardware. This creates a barrier to entry for individuals and smaller organizations who often struggle to afford high-end GPU's to run extensive parameter models. The democratization and accessibility of advanced AI technologies also suffer as a result. Several possible solutions are…

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Advancing from RAG to ReST: An Overview of Progressive Methods in Extensive Language Model Development

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 23, 202433Views0Likes0Comments
Large Language Models (LLMs) have transformed natural language processing, despite limitations such as temporal knowledge constraints, struggles with complex mathematics, and propensity for producing incorrect information. The integration of LLMs with external data and applications presents a promising solution to these challenges, improving accuracy, relevance, and computational abilities. Transformers, a pivotal development in natural language…

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The Benchmark for GTA: A Novel Criterion for Evaluating General Tool Agent AI

AI Agents, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 23, 202438Views0Likes0Comments
Language models are widely used in artificial intelligence (AI), but evaluating their true capabilities continues to pose a considerable challenge, particularly in the context of real-world tasks. Standard evaluation methods rely on synthetic benchmarks - simplified and predictable tasks that don't adequately represent the complexity of day-to-day challenges. They often involve AI-generated queries and use…

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Scikit-fingerprints: A Highly Developed Python Module for Effectual Molecular Fingerprint Calculations and Incorporation with Machine Learning Processes.

AI Paper Summary, Applications, Artificial Intelligence, Editors Pick, Machine learning, Python, Software Engineering, Staff, Tech News, Technology, UncategorizedJuly 23, 202436Views0Likes0Comments
Scikit-fingerprints, a Python package designed by researchers from AGH University of Krakow for computing molecular fingerprints, has integrated with computational chemistry and machine learning application. It specifically bridges the gap between the fields of computational chemistry that traditionally use Java or C++, and machine learning applications popularly paired with Python. Molecular graphs are representations of…

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InstructAV: Enhancing the Precision and Comprehensibility of Authorship Verification via Sophisticated Fine-Tuning Methods

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Technology, UncategorizedJuly 23, 202431Views0Likes0Comments
Authorship Verification (AV), a method used in natural language processing (NLP) to determine if two texts share the same author, is key in forensics, literature, and digital security. Originally, AV was primarily reliant on stylometric analysis, using features like word and sentence lengths and function word frequencies to distinguish between authors. However, with the introduction…

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SciPhi has made available its high-performing language model, the Triplex, for open source use. This state-of-the-art tool assists in constructing knowledge graphs and also offers economical and efficient solutions for data structuring.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 23, 202430Views0Likes0Comments
SciPhi has recently launched Triplex, a cutting-edge language model specifically designed for the construction of knowledge graphs. This open-source innovation has the potential to redefine the manner in which large volumes of unstructured data are transformed into structured formats, significantly reducing the associated expenses and complexity. This tool would be a valuable asset for data…

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SciPhi has released an open-source system known as Triplex: A state-of-the-art Language Model for building Knowledge Graphs, offering cost-efficient and powerful solutions for data organization.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 23, 202434Views0Likes0Comments
SciPhi has introduced a cutting-edge language model (LLM) named Triplex, designed for constructing knowledge graphs. This open-source tool is set to transform the way large sets of unstructured data are turned into structured formats, all while minimizing the associated cost and complexity. The model is available on platforms such as HuggingFace and Ollama, serving as…

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This Artificial Intelligence research document from Alibaba presents the Data-Juicer Sandbox: A method involving examination, analysis, and refining for collaborative development of multi-modal data and generative AI models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 23, 202430Views0Likes0Comments
Artificial intelligence (AI) applications are growing expansive, with multi-modal generative models that integrate various data types, such as text, images, and videos. Yet, these models present complex challenges in data processing and model training and call for integrated strategies to refine both data and models for excellent AI performance. Multi-modal generative model development has been plagued…

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