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An Extensive Comparison by Innodata: Evaluating Llama2, Mistral, Gemma, and GPT in terms of Accuracy, Offensive Language, Prejudice, and Tendency to Imagine

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 9, 2024206Views0Likes0Comments
A recent study by Innodata assessed various large language models (LLMs), including Llama2, Mistral, Gemma, and GPT for their factuality, toxicity, bias, and hallucination tendencies. The research used fourteen original datasets to evaluate the safety of these models based on their ability to generate factual, unbiased, and appropriate content. Ultimately, the study sought to help…

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Innodata’s Extensive Comparisons of Llama2, Mistral, Gemma and GPT in terms of Accuracy, Harmful Language, Prejudice, and Inclination towards Illusions

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 9, 2024152Views0Likes0Comments
An in-depth study by Innodata evaluated the performance of various large language models (LLMs) including Llama2, Mistral, Gemma, and GPT. The study assessed the models based on factuality, toxicity, bias, and propensity for hallucinations and used fourteen unique datasets designed to evaluate each model's safety. One of the main criteria was factuality, the ability of the…

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VCHAR: An Innovative AI Framework that Considers the Results of Simple Tasks as a Distribution Across Defined Ranges

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 9, 2024177Views0Likes0Comments
Complex Human Activity Recognition (CHAR) identifies the actions and behaviors of individuals in smart environments, but the process of labeling datasets with precise temporal information of atomic activities (basic human behaviors) is difficult and can lead to errors. Moreover, in real-world scenarios, accurate and detailed labeling is hard to obtain. Addressing this challenge is important…

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The study conducted on Artificial Intelligence by Ohio State University and Carnegie Mellon University delves into the concept of under-the-radar reasoning in Transformers and obtaining generalization via the process of grasping or Grokking.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 9, 2024141Views0Likes0Comments
Recent research by scientists at Ohio State University and Carnegie Mellon University has analyzed the limitations of large language models (LLMs), such as GPT-4, and their limitations in implicit reasoning. This refers to their ability to make accurate comparisons of internalized facts and properties, even when aware of the entities in question. The study focused…

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This article proposes Neural Operators as a solution to the generalization challenge by suggesting their use in the modeling of Constitutive Laws.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 9, 2024140Views0Likes0Comments
Accurate magnetic hysteresis modeling remains a challenging task that is crucial for optimizing the performance of magnetic devices. Traditional methods, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and gated recurrent units (GRUs), have limitations when it comes to generalizing novel magnetic fields. This generalization is vital for real-world applications. A team of…

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Improving Vision-Language Models: Tackling Multiple-Object Misinterpretation and Incorporating Cultural Diversity for Better Visual Aid in Various Scenarios

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 9, 2024192Views0Likes0Comments
Vision-Language Models (VLMs) offer immense potential for transforming various applications, including visual assistance for visually impaired individuals. However, their efficacy is often marred by complexities such as multi-object scenarios and diverse cultural contexts. Recent research highlights these issues in two separate studies focused on multi-object hallucination and cultural inclusivity. Hallucination in vision-language models occurs when objects…

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Introducing &AI: An Artificial Intelligence-Based Platform Designed to Simplify Patent Due Diligence Process

AI Startups, Editors Pick, Staff, Tech News, UncategorizedJuly 9, 2024206Views0Likes0Comments
Legal firms and patent attorneys are often tasked with assessing the validity of a patent or patent claims for intellectual property litigation or patent applications. They typically hire a third-party search provider to find the necessary evidential materials or conduct keyword research. The process of building a claim chart to assess the claims often takes…

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Introducing DRLQ: A New Approach Utilizing Deep Reinforcement Learning (DRL) for Task Allocation within Quantum Cloud Computing Settings.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 9, 2024187Views0Likes0Comments
In the rapidly advancing field of quantum computing, managing tasks efficiently and effectively is a complex challenge. Traditional models often struggle due to their heuristic approach, which fails to adapt to the intricacies of quantum computing and can lead to inefficient system performance. Task scheduling, therefore, is critical to minimizing time wastage and optimizing resource…

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Progress in Protein Sequence Design: Utilizing Reinforcement Learning and Language Models

AI Paper Summary, AI Shorts, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 9, 2024185Views0Likes0Comments
Protein sequence design is a significant part of protein engineering for drug discovery, involving the exploration of vast amino acid sequence combinations. To overcome the limitations of traditional methods like evolutionary strategies, researchers have proposed utilizing reinforcement learning (RL) techniques to facilitate the creation of new protein sequences. This progress comes as advancements in protein…

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Salesforce Research has launched INDICT, an innovative framework designed to boost the security and usefulness of AI-produced coding across a wide range of programming languages.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Technology, UncategorizedJuly 9, 2024183Views0Likes0Comments
The use of Large Language Models (LLMs) for automating and assisting in coding holds promise for improving the efficiency of software development. However, the challenge is ensuring these models produce code that is not only helpful but also secure, as the code generated could potentially be used maliciously. This concern is not theoretical, as real-world…

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