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GitHub introduces GitHub Models, providing countless developers the opportunity to evolve into AI engineers and create using top-notch AI Models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Large Language Model, Staff, Tech News, Technology, UncategorizedAugust 3, 202434Views0Likes0Comments
The use of AI (Artificial Intelligence) models is increasingly becoming important in the development of modern applications that contain both backend and frontend code. However, developers often face challenges in accessing these models, which affects their ability to integrate AI into their applications. To bridge this gap, GitHub is launching GitHub Models, aimed at providing…

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Introducing Lakera AI: A GenAI Security Firm that Leverages Artificial Intelligence in Real-Time to Safeguard Businesses against LLM Weaknesses.

AI Shorts, AI Startups, Applications, Artificial Intelligence, Editors Pick, Generative AI, Security, Staff, Startup, Tech News, Technology, UncategorizedAugust 3, 202436Views0Likes0Comments
As corporations' use of Artificial Intelligence (AI) increases, so too does their risk of security breaches. Hackers could potentially manipulate AI into revealing crucial corporate or consumer data, a genuine concern for leaders of Fortune 500 companies developing chatbots and other AI applications. Lakera AI, a start-up in the field of GenAI security, addresses this…

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PersonaGym: An Adaptive AI Platform for Thorough Assessment of Language Model Persona Bots

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedAugust 3, 202430Views0Likes0Comments
Large Language Model (LLM) agents are seeing a vast number of applications across various sectors including customer service, coding, and robotics. However, as their usage expands, the need for their adaptability to align with diverse consumer specifications has risen. The main challenge is to develop LLM agents that can successfully adopt specific personalities, enabling them…

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Improving the Precision and Brevity of Responses in Large Language Models using Restricted Stream-of-Consciousness Prompting.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedAugust 3, 202435Views0Likes0Comments
With advancements in model architectures and training methods, Large Language Models (LLMs) such as OpenAI's GPT-3 have showcased impressive capabilities in handling complex question-answering tasks. However, these complex responses can also lead to hallucinations, where the model generates plausible but incorrect information. This is also compounded by the fact that these LLMs generate responses word-by-word,…

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Google AI presents ShieldGemma: an extensive assembly of LLM-based models for safe content moderation, which is constructed on Gemma2.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Open Source, Staff, Tech News, Technology, UncategorizedAugust 3, 202429Views0Likes0Comments
Large Language Models (LLMs) have gained significant traction in various applications but they need robust safety measures for responsible user interactions. Current moderation solutions often lack detailed harm type predictions or customizable harm filtering. Now, researchers from Google have introduced ShieldGemma, a suite of content moderation models ranging from 2 billion to 27 billion parameters,…

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To develop an improved AI assistant, begin by simulating the unpredictable actions of human beings.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 3, 202434Views0Likes0Comments
Researchers at MIT and the University of Washington have devised a model for detecting the computational limitations of an agent, whether human or machine, that obstruct their ability to solve problems. Agents' performance is monitored to calculate their "inference budget", estimates of the time and effort likely to be re-invested in similar tasks, which then…

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This miniature device can protect user information while facilitating effective computation on a mobile device.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 3, 202435Views0Likes0Comments
MIT and the MIT-IBM Watson AI Lab researchers have developed a machine-learning accelerator ingrained with defenses against the most common cyber-attacks. The device, which could find use in advanced AI applications like VR/AR and autonomous vehicles, offers robust security at the cost of increased power consumption and a slightly higher price tag. But maintaining optimum…

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Julie Shah has been appointed as the chief of the Department of Aeronautics and Astronautics.

Administration, Aeronautical and astronautical engineering, Alumni/ae, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Electrical Engineering & Computer Science (eecs), Faculty, Leadership, MIT Schwarzman College of Computing, Robotics, School of Engineering, UncategorizedAugust 3, 202432Views0Likes0Comments
Julie Shah, the H.N. Slater Professor in Aeronautics and Astronautics, has been named the new head of the Department of Aeronautics and Astronautics (AeroAstro) at the Massachusetts Institute of Technology (MIT), commencing her role on 1 May. Shah's appointment is seen as an endorsement of her visionary leadership and the key roles she has played…

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A dataset for artificial intelligence paves fresh ways for identifying tornadoes.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 3, 202430Views0Likes0Comments
Around 1,200 tornadoes occur every year in the U.S., causing billions of dollars in damage and claiming an average of 71 lives. Predicting tornadoes is notoriously difficult due to gaps in understanding the precise conditions that cause them to form. The team from MIT's Lincoln Laboratory hopes to address this challenge, using a new open-source…

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GraphStorm 0.3: User-friendly APIs offering scalable, multitasking learning on graphs.

Announcements, Artificial Intelligence, Launch, News, Open Source, Technical How-to, Thought Leadership, UncategorizedAugust 3, 202483Views0Likes0Comments
GraphStorm, a low-code enterprise graph machine learning (GML) framework designed for building, training, and deploying GML solutions swiftly on complex, large-scale graphs, announces the launch of GraphStorm 0.3. The new version includes native support for multi-task learning on graphs, enabling users to define multiple training targets on different nodes and edges within a single training…

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Cepsa Química enhances product stewardship accuracy and efficiency by utilizing Amazon Bedrock.

Artificial Intelligence, Customer Solutions, Energy, Generative AI, Partner solutions, UncategorizedAugust 3, 202435Views0Likes0Comments
In this article, co-authors Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler, discuss the implementation of generative Artificial Intelligence (AI) as a transformative force in business industries. They key focus is on the how it impacts the energy sector, specifically, Cepsa Química…

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