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Overcoming the ‘Lost-in-the-Middle’ Dilemma in Large Linguistic Models: A Revolutionary Advance in Attention Calibration

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 28, 202473Views0Likes0Comments
Large language models (LLMs), despite their advancements, often face difficulties in managing long contexts where information is scattered across the entire text. This phenomenon is referred to as the ‘lost-in-the-middle’ problem, where LLMs struggle to accurately identify and utilize information within such contexts, especially as it becomes distant from the beginning or end. Researchers from…

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Hugging Face introduces an improved version of Open LLM Leaderboard 2, with advanced benchmarks, more equitable scoring, and boosted community participation in assessing language models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Leaderboard, New Releases, Staff, Tech News, Technology, UncategorizedJune 28, 202466Views0Likes0Comments
Hugging Face has unveiled the Open LLM Leaderboard v2, a significant upgrade to its initial leaderboard used for ranking language models. The new version aims to address the challenges faced by the initial model, featuring refined evaluation methods, tougher benchmarks, and a fairer scoring system. Over the last year, the original leaderboard had become a…

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Hugging Face unveils an improved version of Open LLM Leaderboard 2, offering stricter benchmarks, more equitable scoring methods, and increased community cooperation for assessing language models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Leaderboard, New Releases, Staff, Tech News, Technology, UncategorizedJune 28, 202469Views0Likes0Comments
Hugging Face has released a significant upgrade to its Leaderboard for open-source language models (LLMs) geared towards addressing existing constraints and introducing better evaluation methods. Notably, the upgrade known as Open LLM Leaderboard v2 offers more stringent benchmarks, presents advanced evaluation techniques, and implements a fairer scoring system, fostering a more competitive environment for LLMs. The…

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Google launches Gemma 2 Series: Sophisticated LLM Models in 9B and 27B versions trained on 13T tokens.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedJune 28, 202475Views0Likes0Comments
Google has introduced two new advanced AI models, the Gemma 2 27B and 9B, underlining their continued commitment to revolutionizing AI technology. Capable of superior performance but with a compact structure, these models represent significant advancements in AI language processing. The larger model, the Gemma 2 27B, boasts 27 billion parameters, allowing it to handle more…

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Melissa Choi has been appointed as the director of MIT Lincoln Laboratory.

Administration, Artificial Intelligence, Community, Cybersecurity, Leadership, Lincoln Laboratory, President Sally Kornbluth, Security studies and military, Staff, UncategorizedJune 28, 202469Views0Likes0Comments
Melissa Choi has been appointed the new director of MIT Lincoln Laboratory, effective from July 1. She will take over from Eric Evans, who has served as director for 18 years. Choi has previously served as assistant director of the lab and is recognized for her technical breadth, leadership, managerial skills, and strategic vision. In…

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Create a discussion-oriented bot by incorporating various Language Learning Models (LLMs) within a single platform – Segment 1.

Advanced (300), Amazon Bedrock, Artificial Intelligence, Generative AI, UncategorizedJune 28, 202478Views0Likes0Comments
Generative AI and foundation models (FMs) are offering new possibilities for content generation, particularly in areas such as answering questions and summarizing documents. Companies such as Amazon, Anthropic, AI21 Labs, Cohere, and Meta supply these models. Amazon Bedrock, a fully managed service, streamlines the process of building and scaling generative AI applications. It provides access…

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EAGLE-2: A Resourceful Speculative Sampling Technique Delivering Accelerated Ratios from 3.05x to 4.26x, Resulting in a 20%-40% Superior Speed than EAGLE-1.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 27, 202463Views0Likes0Comments
Large Language Models (LLMs) have made advancements in several sectors such as chatbots and content creation but struggle with extensive computational cost and time required for real-time applications. While various methods have attempted to resolve this, they are often not context-aware and result in inefficient acceptance rates of draft tokens. To address this, researchers from…

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Introducing Sohu: The First Global Transformer Specialized ASIC Chip.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Hardware, Staff, Tech News, Technology, UncategorizedJune 27, 202475Views0Likes0Comments
The Sohu AI chip created by Etched holds the title as the fastest AI chip currently available, redefining AI computation and application capabilities. It enables processing of over 500,000 tokens per second on the Llama 70B model, outperforming traditional GPUs. An 8xSohu server can even replace 160 H100 GPUs, demonstrating its superior power and efficiency.…

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Researchers from New York University have released Cambrian-1: Improving Multimodal AI with Vision-Based Large Language Models for Better Performance and Adaptation in Actual World Scenarios.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 27, 202462Views0Likes0Comments
Multimodal large language models (MLLMs), which integrate sensory inputs like vision and language, play a key role in AI applications, such as autonomous vehicles, healthcare and interactive AI assistants. However, efficient integration and processing of visual data with textual details remain a stumbling block. The traditionally used visual representations, that rely on benchmarks such as…

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Researchers from New York University Present Cambrian-1: Progressing Multimodal AI with a Focus on Large Language Models for Improved Real-World Functionality and Incorporation.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 27, 202471Views0Likes0Comments
Multimodal large language models (MLLMs), which integrate sensory inputs like vision and language to create comprehensive systems, have become an important focus in AI research. Their applications include areas such as autonomous vehicles, healthcare, and AI assistants, which require an understanding and processing of data from various sources. However, integrating and processing visual data effectively…

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GraphReader: An AI Agent System Built on Graph-structures for Managing Extensive Texts by Organizing them into Graphs and Utilizing an Agent for Independent Exploration of these Graphs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 27, 202464Views0Likes0Comments
Large Language Models (LLMs) have played a notable role in enhancing the understanding and generation of natural language. They have, however, faced challenges in processing long contexts due to restrictions in context window size and memory usage. This has spawned research to address these limitations and come up with ways of making the LLMs work…

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