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Apple Machine Learning Research

10 stories

Apple Machine Learning ResearchResearchLocal and Distributed Large LLM Inference with MLX and RDMA on Mac Studio MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment.

10.15
Apple Machine Learning Research

Apple Machine Learning ResearchResearchSelection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action…

10.15
Apple Machine Learning Research

Apple Machine Learning ResearchResearchPlan or Retrieve First? A Scale Study of Tool Discovery Architectures Tool-augmented LLM agents discover relevant APIs from large registries before planning execution, yet finite context windows prohibit injecting all tool definitions into a single prompt.

10.15
Apple Machine Learning Research

Apple Machine Learning ResearchResearchCode-Switching Detection via Language-Selective Dimensions in Speech Foundation Models Code-switching (CS), the alternation between languages within an utterance, is common in multilingual speech but underrepresented in pretraining corpora.

10.14
Apple Machine Learning Research

Apple Machine Learning ResearchResearchThe Design Space of Tri-Modal Masked Diffusion Models Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation.

10.14

Apple Machine Learning ResearchResearchMix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings For most languages of the world, language model pre-training operates in a data-constrained regime where models must repeat their training data many times, degrading generalization.

10.13
Apple Machine Learning Research

Apple Machine Learning ResearchResearchLarge Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged Large Language Models (LLMs) are considered to be a more efficient and cost-effective alternative to human judgment for Machine Translation (MT) evaluation.

10.12
Apple Machine Learning Research

Apple Machine Learning ResearchResearchMinions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices The increasing demand for GPU-accelerated machine learning inference has exposed limitations in centralized GPU infrastructures, including high cost, limited elasticity, and long wait times under…

10.12
Apple Machine Learning Research

Apple Machine Learning ResearchResearchSelf-Compacting Language Model Agents Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window.

10.12

Apple Machine Learning ResearchResearchNormalizing Trajectory Models Diffusion-based models decompose sampling into many small Gaussian denoising steps, an assumption that breaks down when generation is compressed to a few coarse transitions.

10.08