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A fresh approach to artificial intelligence quantifies uncertainty 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 22, 202459Views0Likes0Comments
Segmentation, a practice in biomedicine whereby pixels from a significant structure in a medical image are annotated, can be aided by artificial intelligence (AI) models. However, these models often give only one solution, while the problem of medical image segmentation usually requires a range of interpretations. For instance, multiple human experts may have different perspectives…

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Does ‘fear’ serve as a fundamental factor in developing more flexible, robust, and organic AI systems?

Bio-inspired AI, Biology, Industry, Machine learning, UncategorizedJuly 22, 202470Views0Likes0Comments
Artificial general intelligence (AGI), also known as superintelligence, is the ultimate goal of AI research. It aims to create autonomous systems capable of performing a wide range of tasks as humans do. However, the concept of AGI is still elusive, with critics arguing that current AI systems can never achieve general intelligence. They cite limitations…

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Introducing Parea AI: An AI-Based Startup that Generates LLM-oriented Assessments in Sync with Human Assessment

AI Startups, Editors Pick, Staff, Tech News, UncategorizedJuly 22, 202475Views0Likes0Comments
Evaluating free-form material is often a challenging task that traditional methods, such as human reviewers or LLMs (Language Model), may fall short in terms of accuracy, time, and cost. As an answer to these challenges, the concept of prompt engineering has emerged, promising a unique optimization procedure necessary for improved LLM evaluations. To maximize the…

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Symbolic Learning in AI Agents: A Framework for Machine Learning that Simultaneously Enhances All Symbolic Elements within an AI Agent Structure.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 22, 202481Views0Likes0Comments
Language models have undergone significant developments in recent years which has revolutionized artificial intelligence (AI). Large language models (LLMs) are responsible for the creation of language agents capable of autonomously solving complex tasks. However, the development of these agents involves challenges that limit their adaptability, robustness, and versatility. Manual task decomposition into LLM pipelines is…

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Strengthening Firm Denial Training in LLMs: A Previous Time Modification Assault and Possible Protective Measures

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 22, 202473Views0Likes0Comments
Large Language Models (LLMs) like GPT-3.5 and GPT-4 are cutting-edge artificial intelligence systems that generate text which is nearly indistinguishable from that created by humans. These models are trained using enormous volumes of data that enables them to accomplish a variety of tasks from answering complex questions to writing coherent essays. However, one significant challenge…

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The Neo4j LLM Knowledge Graph Builder: An AI Mechanism that Constructs Knowledge Graphs from Disorganized Data

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 22, 202469Views0Likes0Comments
Artificial Intelligence (AI) is making strides in the data analysis sphere, with teams of researchers developing new applications to convert unstructured data into usable information. Recently, one such application was introduced, known as the Neo4j LLM Knowledge Graph Builder. This tool leverages powerful machine learning models to transform unstructured data into a comprehensive knowledge graph,…

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The Launch of Nephilim v3 8B: A Groundbreaking AI Solution for Combining Models to Improve Roleplay and Creativity

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 22, 202467Views0Likes0Comments
Hugging Face has introduced two new innovative models named llama-3-Nephilim-v3-8B and llama-3-Nephilim-v3-8B-GGUF. Despite not being explicitly trained for roleplays, these models have demonstrated outstanding proficiency in this area, illuminating the possibilities of "found art" strategies in the domain of artificial intelligence (AI) development. To create these models, several pre-trained language models were converged. The merger was…

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Apple’s artificial intelligence has launched an open-source language model trained on 2.5 trillion tokens using open datasets, with a capacity of 7 billion.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedJuly 22, 202471Views0Likes0Comments
Language models have become an integral part of natural language processing, assisting in tasks like text generation, translation, and sentiment analysis. Their efficiency and accuracy, however, greatly rely on quality training datasets. Creating such datasets can be a complex process, involving the elimination of irrelevant or harmful content, removal of duplicates, and the selection of…

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The Athene-Llama3-70B Unveiled: A Non-Specific Weight LLM Developed with RLHF, Grounded on Llama-3-70B-Instruct.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedJuly 22, 202486Views0Likes0Comments
Nexusflow has recently launched Athene-Llama3-70B, a high-performance open-weight chat model that's been fine-tuned from Meta AI's earlier model, Llama-3-70B. The improvement in terms of performance is quite significant with the new model achieving an impressive Arena-Hard-Auto score of 77.8%, surpassing models like GPT-4o and Claude-3.5-Sonnet. This is a substantial improvement from Llama-3-70B-Instruct, the predecessor which…

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An improved, quicker method to stop an AI chatbot from providing harmful responses.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Defense Advanced Research Projects Agency (DARPA), Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, UncategorizedJuly 22, 202473Views0Likes0Comments
Artificial Intelligence (AI) Chatbots like OpenAI's ChatGPT are capable of performing tasks from generating code to writing article summaries. However, they can also potentially provide information that could be harmful. To prevent this from happening, developers use a process called red-teaming, where human testers write prompts to identify unsafe responses in the model. Nevertheless, this…

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New AI technique encapsulates ambiguity in healthcare pictures.

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 22, 202472Views0Likes0Comments
In the realm of biomedicine, segmentation is a process where certain areas or pixels within a medical image, such as an organ or cell, are annotated or highlighted. This primarily assists clinicians in pinpointing areas showing signs of diseases or abnormalities. However, there is often a gray area since different experts can have differing interpretations…

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ZebraLogic: An AI Benchmark Created for Assessing Language Models through Logical Puzzles

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Leaderboard, Staff, Tech News, Technology, UncategorizedJuly 21, 2024216Views0Likes0Comments
The article introduces a benchmark known as ZebraLogic, which assesses the logical reasoning capabilities of large language models (LLMs). Using Logic Grid Puzzles, the benchmark measures how well LLMs can deduce unique value assignments for a set of features given specific clues. The unique value assignment task mirrors those that are often found in assessments…

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