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This AI Paper from Apple Delves Into the Intricacies of Machine Learning: Assessing Vision-Language Models with Raven’s Progressive Matrices
Recent studies have highlighted the advancements in Vision-Language Models (VLMs), exemplified by OpenAI’s GPT4-V. These models excel in vision-language tasks like captioning, object localization, and visual question answering. Apple researchers assessed VLM limitations in complex visual reasoning using Raven’s Progressive Matrices, revealing discrepancies and challenges in tasks involving visual deduction. The evaluation approach, inference-time techniques,…
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Meet SaulLM-7B: A Pioneering Large Language Model for Law
Advancements in large language models (LLMs) have impacted various fields, yet the legal domain lags behind. Equall.ai’s researchers introduce SaulLM-7B, a public legal LLM specialized for legal text, leveraging extensive pretraining on dedicated legal corpora. It outperforms non-legal models on legal-specific tasks, presenting opportunities for further enhancement in conclusion tasks. Full paper available here.
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Unmasking the Covert Prejudice in AI: A Dive into Dialect Discrimination
AI’s pervasive role has raised concerns about the amplification of biases. A recent study reveals covert racism in language models, particularly in their negative associations with African American English (AAE) speakers. The research emphasizes the pressing need for novel strategies to address linguistic prejudice and ensure equitable AI technology. Read the full post on MarkTechPost.
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FastV: A Plug-and-Play Inference Acceleration AI Method for Large Vision Language Models Relying on Visual Tokens
Peking University and Alibaba Group developed FastV to tackle inefficiencies in Large Vision-Language Models’ attention computation. FastV dynamically prunes less relevant visual tokens, significantly reducing computational costs without compromising performance. This improves the computational efficiency and practical deployment of LVLMs, offering a promising solution to resource constraints in real-world applications.
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Revolutionizing Fibrosis Treatment: AI-Driven Discovery of TNIK Inhibitor INS018_055 Unveils New Horizons in Therapeutics
Researchers have encountered significant challenges in developing drugs for Idiopathic Pulmonary Fibrosis and renal fibrosis due to their complex pathogenesis and lack of effective treatments. However, utilizing AI, they identified TNIK as a promising anti-fibrotic target and developed the inhibitor INS018_055, showing favorable properties and efficacy in preclinical and clinical studies. This innovative approach offers…
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Cohere AI Unleashes Command-R: The Ultimate 35 Billion-Parameter Revolution in AI Language Processing, Setting New Standards for Multilingual Generation and Reasoning Capabilities!
The demand for advanced, scalable, and versatile tools in software development continues to grow. Meeting these demands requires overcoming significant challenges such as handling vast amounts of data and providing flexible, user-friendly interfaces. C4AI Command-R, a groundbreaking 35-billion parameter generative model developed by Cohere and Cohere For AI, effectively addresses these challenges with its unique…
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Unveiling the Hidden Complexities of Cosine Similarity in High-Dimensional Data: A Deep Dive into Linear Models and Beyond
In data science and AI, embedding entities into vector spaces enables numerical representation, but a study by Netflix Inc. and Cornell University challenges the reliability of cosine similarity, revealing its potential for arbitrary and misleading results. Regularization impacts similarity outcomes, highlighting the need to critically evaluate such metrics and consider alternative approaches.
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This AI Research from China Explains How Common 7B Language Models Already Possess Strong Mathematical Capabilities
The Large Language Models (LLMs) have remarkable capabilities in various domains like content generation, question-answering, and mathematical problem-solving, challenging the need for extensive pre-training. A recent study demonstrates that the LLaMA-27B model displays outstanding mathematical abilities and proposes a supervised fine-tuning method to enhance accuracy, offering insights into scaling behaviors. The study’s findings suggest that…
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Global news partnerships: Le Monde and Prisa Media
We’ve teamed up with Le Monde and Prisa Media to provide French and Spanish news content for ChatGPT.
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An AI that can play Goat Simulator is a step towards more useful AI
Google DeepMind has developed a new AI agent named SIMA, which can play various games, including those it has never encountered before, such as Goat Simulator 3. The agent can follow text commands to play seven different games and navigate in 3D environments, showing potential for more generalized AI and skill transfer across multiple environments.