How to Use Multimodal AI Models With Docker Model Runner
docker.com·20h
🤖AI
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Introducing IndQA
🤖AI
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·21h
🤖AI
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Complex QA and language models hybrid architectures, Survey
arxiv.org·4h
⛓️LangChain
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When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA
arxiv.org·4h
🧠Machine Learning
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The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·1d
🚀MLOps
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Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
arxiv.org·4h
🔍RAG
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·4h
🚀MLOps
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Balanced Multimodal Learning via Mutual Information
arxiv.org·4h
🧠Machine Learning
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Our newest model: Chandra (OCR)
🗄️Vector Databases
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·4h
🧠Machine Learning
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Voiceprints of cognitive impairment: analyzing digital voice for early detection of Alzheimer’s and related dementias
nature.com·1d
🤖Transformers
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·4h
🤖Transformers
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
🤖Transformers
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Accumulating Context Changes the Beliefs of Language Models
arxiv.org·4h
🤖Transformers
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.org·4h
⛓️LangChain
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·1d
⚙️Model Fine-tuning
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Towards Automated Petrography
arxiv.org·4h
👁️Computer Vision
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