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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, 202432Views0Likes0Comments
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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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, 202432Views0Likes0Comments
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, 202432Views0Likes0Comments
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, 202437Views0Likes0Comments
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, 202434Views0Likes0Comments
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, 202429Views0Likes0Comments
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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Alibaba’s AI Paper presents Data-Juicer Sandbox, a methodology of scrutinizing, analyzing, and refining for the joint 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, 202429Views0Likes0Comments
Multi-modal generative models combine diverse data formats such as text, images, and videos to enhance artificial intelligence (AI) applications across various fields. However, the challenges in their optimization, particularly the discord between data and model development approaches, hinder progress. Current methodologies either focus on refining model architectures and algorithms or advancing data processing techniques, limiting…

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Stability AI has made their Stable Audio Open publicly accessible: it’s an audio generation model capable of variances in duration up to 47 seconds, producing stereo audio at 44.1 kHz, created from textual commands.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Sound, Staff, Tech News, Technology, UncategorizedJuly 23, 202430Views0Likes0Comments
Artificial Intelligence (AI) has seen considerable progress in the realm of open, generative models, which play a critical role in advancing research and promoting innovation. Despite this, accessibility remains a challenge as many of the latest text-to-audio models are still proprietary, posing a significant hurdle for many researchers. Addressing this issue head-on, researchers at Stability…

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A novel artificial intelligence approach accurately interprets ambiguity in medical imaging.

Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Health care, Imaging, Machine learning, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedJuly 23, 202433Views0Likes0Comments
Artificial intelligence (AI) tools have great potential in the field of biomedicine, particularly in the process of segmentation or annotating the pixels of an important structure in a medical image. Segmentation is critical for the identification of possible diseases or anomalies in body organs or cells. However, the challenge lies in the variability of the…

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