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Introducing Greptile: An AI-Driven Startup Enabling Master of Laws Students to Comprehend Vast Codebases.

AI Startups, Editors Pick, Staff, Tech News, UncategorizedMarch 20, 202485Views0Likes0Comments
As software companies grow, their codebases often become more complex, resulting in accumulated legacy code and technical debt. This situation becomes more challenging when team members - especially those well-versed in the codebase - leave the company. Newer team members may face difficulties understanding the code due to outdated or missing documentation. To overcome these…

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BurstAttention: An Innovative Machine Learning Architecture Enhancing Productivity of Massive Language Models through Sophisticated Distributed Attention Technique for Extraordinarily Extended Sequences.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 20, 202467Views0Likes0Comments
Large Language Models (LLMs) have significantly impacted machine learning and natural language processing, with Transformer architecture being central to this progression. Nonetheless, LLMs have their share of challenges, notably dealing with lengthy sequences. Traditional attention mechanisms are known to increase the computational and memory costs quadratically in relation to sequence length, making processing long sequences…

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NVIDIA’s Blackwell GPU Evolution: Igniting the Upcoming Surge of AI and Superior Performance Computing.

Artificial Intelligence, Editors Pick, Hardware, NVIDIA, Staff, Tech News, Technology, Uncategorized, UnicornsMarch 20, 202470Views0Likes0Comments
NVIDIA is pushing boundaries in the world of AI and high-performance computing (HPC) with the launch of its Blackwell platform. Named after renowned mathematician, David Harold Blackwell, the platform introduces two innovative Graphics Processing Units (GPUs) – the B100 and the B200 – which promise to shake up AI and HPC with groundbreaking advancements. The B100…

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Griffon v2: An Integrated Super-High Resolution AI Model Created for Adaptable Object Pointing Using both Written and Visual Signals

AI News, UncategorizedMarch 20, 202472Views0Likes0Comments
Large Vision Language Models (LVLMs) have shown excellent performance in tasks that require comprehension of both text and images, with progress in image-text understanding and reasoning becoming particularly noticeable in region-level tasks like Referring Expression Comprehension (REC). Notably, models like Griffon have demonstrated excellent performance in tasks such as object detection, indicating significant advances in…

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Scientists at Google AI have introduced a method based on machine learning to educate potent Large Language Models (LLMs) on how to improve their reasoning using graph data.

ML News, UncategorizedMarch 20, 202472Views0Likes0Comments
This article details a recent Google study whose goal is to train Large Language Models (LLMs) to better process information represented in graph form. LLMs are typically trained on text, but graphs provide a more efficient way of organising information due to their visual representation of relationships between entities (nodes) as connected by links (edges).…

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How can Philosophy Contribute to our Contemporary Society? | authored by Stefan Kojouharov | March, 2024

Human AI, UncategorizedMarch 20, 202463Views0Likes0Comments
Contrary to the modern perception that philosophy is outdated and eclipsed by science, this article makes the case for philosophy's relevance in our contemporary world. The cynical view of philosophy, often seen as little more than an academic debate among old men, is both unjust and false. Philosophy plays an essential role in developing our…

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Embarking on LLMOps: The Hidden Catalyst for Smooth Communications

Data Analytics, UncategorizedMarch 20, 202463Views0Likes0Comments
Large Language Models (LLMs), such as ChatGPT or Google Gemini, react quickly and generate human-like responses due to an emerging domain known as LLMOps (Large Language Model Operations). The response times must resemble a natural conversation, treating every interaction as a dialog between human beings, which is the primary goal of LLMs made possible through…

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This fresh approach leverages input from the masses to assist in educating robots.

Algorithms, Artificial Intelligence, 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, MIT-IBM Watson AI Lab, Research, Robots, UncategorizedMarch 20, 202464Views0Likes0Comments
Teaching AI agents new tasks can be a challenging and time-consuming process, often involving iteratively updating a reward function designed by a human expert to motivate the AI’s exploration of possible actions. However, researchers from the Massachusetts Institute of Technology, Harvard University, and the University of Washington have developed a new reinforcement learning approach that…

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What does the future look like for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 20, 202471Views0Likes0Comments
In a recent symposium titled "Generative AI: Shaping the Future", iRobot co-founder Rodney Brooks urged caution regarding the unbridled optimism around generative artificial intelligence (AI). Generative AI uses machine-learning models to generate new material similar to the data it has been trained on, and has proven capable of creative writing, translation, generating code, and creating…

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