The True Cost of LLMs for Businesses Post date July 14, 2025 Post author By Large Models (dot tech) Post categories In ai-cost-benefit-analysis, ai-implementation-cost, enterprise-ai-tools, enterprise-llm-adoption, language-model-evaluation, llm-roi, modeling-ai-uncertainty, openai-token-pricing
Exploring Local and Global Sensitivity in Binary Decision Modeling Post date July 14, 2025 Post author By Large Models (dot tech) Post categories In ai-cost-benefit-analysis, ai-implementation-cost, enterprise-ai-tools, enterprise-llm-adoption, language-model-evaluation, llm-roi, modeling-ai-uncertainty, openai-token-pricing
How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI Post date June 15, 2025 Post author By Large Models (dot tech) Post categories In idefics2, inference-optimization, model-architecture, multimodal-training, training-efficiency, transformer-based-models, vision-language-models, vlms
The Small AI Model Making Big Waves in Vision-Language Intelligence Post date June 15, 2025 Post author By Large Models (dot tech) Post categories In idefics2, inference-optimization, model-architecture, multimodal-training, training-efficiency, transformer-based-models, vision-language-models, vlms
The Artistry Behind Efficient AI Conversations Post date June 15, 2025 Post author By Large Models (dot tech) Post categories In idefics2, inference-optimization, model-architecture, multimodal-training, training-efficiency, transformer-based-models, vision-language-models, vlms
Why The Right AI Backbones Trump Raw Size Every Time Post date June 15, 2025 Post author By Large Models (dot tech) Post categories In idefics2, inference-optimization, model-architecture, multimodal-training, training-efficiency, transformer-based-models, vision-language-models, vlms
Can Smaller AI Outperform the Giants? Post date June 15, 2025 Post author By Large Models (dot tech) Post categories In idefics2, inference-optimization, model-architecture, multimodal-training, training-efficiency, transformer-based-models, vision-language-models, vlms
AI Learns Common Sense from Touch, Not Just Vision Post date June 13, 2025 Post author By Large Models (dot tech) Post categories In embodied-ai, gelsight-sensor, large-tactile-language-models, large-vision-language-model, object-property-reasoning, octopi-framework, physiclear-dataset, robot-manipulation
Training Time Comparison: Multi-Token vs. Next-Token Prediction Post date June 8, 2025 Post author By Large Models (dot tech) Post categories In computational-cost, deep-learning-economics, large-language-models, llm-parameters, llm-scalability, llm-training-efficiency, multi-token-prediction, transformer-training
Alternative Architectures for Multi-Token Prediction in LLMs Post date June 6, 2025 Post author By Large Models (dot tech) Post categories In anticausal-networks, architecture-comparison, computational-efficiency, deep-learning-architecture, llm-architecture, llm-implementation, multi-token-prediction, neural-network-design
Self-Speculative Decoding Speeds for Multi-Token LLMs Post date June 6, 2025 Post author By Large Models (dot tech) Post categories In ai-efficiency, code-generation, inference-optimization, llm-decoding-speed, llm-inference, multi-token-models, multi-token-prediction, self-speculative-decoding
Multi-Token Prediction: Architecture for Memory-Efficient LLM Training Post date June 3, 2025 Post author By Large Models (dot tech) Post categories In ai-performance, inference-optimization, language-model-architecture, llm-training, memory-utilization, multi-token-prediction, self-speculative-decoding, transformer-efficiency
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