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This study by Google’s DeepMind examines the disparity in performance between online and offline techniques for aligning AI.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 18, 202435Views0Likes0Comments
The standard method for aligning Language Learning Models (LLMs) is known as RLHF, or Reinforcement Learning from Human Feedback. However, new developments in offline alignment methods - such as Direct Preference Optimization (DPO) - challenge RLHF's reliance on on-policy sampling. Unlike online methods, offline algorithms use existing datasets, making them simpler, cheaper, and often more…

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Cerebras & Neural Magic scientists have introduced Sparse Llama: the inaugural LLM production that operates on Llama and exhibits 70% sparsity.

AI Paper Summary, AI Shorts, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 18, 202436Views0Likes0Comments
Natural Language Processing (NLP) is a revolutionary field that allows machines to understand, interpret, and generate human language. It is widely used in various sectors, including language translation, text summarization, sentiment analysis, and the creation of conversational agents. Large language models (LLMs), which have greatly improved these applications, require huge computational and energy demands for…

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Meta AI presents Chameleon: A novel range of preliminary fusion token-based foundational models that establish a fresh benchmark for multimodal machine learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 18, 202435Views0Likes0Comments
Recent multimodal foundation models are often limited in their ability to fuse various modalities, as they typically utilize distinct encoders or decoders for each modality. This structure limits their capability to effectively integrate varied content types and create multimodal documents with interwoven sequences of images and text. Meta researchers, in response to this limitation, have…

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Chasing the Platonic Ideals: AI’s Hunt for a Single Reality Paradigm

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 18, 202441Views0Likes0Comments
Artificial Intelligence (AI) systems have demonstrated a fascinating trend of converging data representations across different architectures, training objectives, and modalities. Researchers propose the "Platonic Representation Hypothesis" to explain this phenomenon. Essentially, this hypothesizes that various AI models are striving to capture a unified representation of the underlying reality that forms the basis for observable data.…

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Phidata: An Artificial Intelligence Infrastructure for Constructing Independent Aides with Extensive Memory, Contextual Understanding and the Proficiency to Execute Activities via Function Invocation.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 18, 202436Views0Likes0Comments
Artificial intelligence is extensively utilized in today's world by both businesses and individuals, with a particular reliance on large language models (LLMs). Despite their broad range of applications, LLMs have certain limitations that restrict their effectiveness. Key among these limitations is their inability to retain long-term conversations, which hampers their capacity to deliver consistent and…

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Stanford and UC Berkeley’s AI Research highlights the evolution of ChatGPT’s conduct over time.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 17, 202436Views0Likes0Comments
Large Language Models (LLMs) such as GPT 3.5 and GPT 4 have recently garnered substantial attention in the Artificial Intelligence (AI) community for their ability to process vast amounts of data, detect patterns, and simulate human-like language in response to prompts. These LLMs are capable of self-improvement over time, drawing upon new information and user…

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Revealing the Power of Big Language Models: Improving Comment Creation in Computer Science Education

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 17, 202439Views0Likes0Comments
Large classroom sizes in computing education are making it crucial to use automation for student success. Automated feedback generation tools are becoming increasingly popular for their ability to rapidly analyze and test. Among these, large language models (LLMs) like GPT-3 are showing promise. However, concerns about their accuracy, reliability, and ethical implications do exist. Historically, the…

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The MMLU-Pro Dataset has been launched by TIGER-Lab for extensive evaluation of the abilities and efficiency of massive language models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 17, 202436Views0Likes0Comments
The evaluation of artificial intelligence (AI) systems, particularly large language models (LLMs), has come to the fore in recent artificial intelligence research. Existing benchmarks, such as the original Massive Multitask Language Understanding (MMLU) dataset, have been found to inadequately capture the true potential of AI systems, largely due to their focus on knowledge-based questions and…

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