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RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning as Action Abstractions)—an EM-style procedure that learns temporally consistent latent actions from expert traces, then fine-tunes on those bootstrapped traces. It shows mid-training should… Read More »RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs Michal Sutter Artificial Intelligence Category – MarkTechPost

Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks Apple Machine Learning Research

​Large language models (LLMs) are ubiquitous in modern day natural language processing. However, previous work has shown degraded LLM performance for under-represented English dialects. We analyze the effects of typifying “standard” American English language questions as non-”standard” dialectal variants on multiple choice question answering tasks… Read More »Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks Apple Machine Learning Research

Local Mechanisms of Compositional Generalization in Conditional Diffusion Apple Machine Learning Research

​Conditional diffusion models appear capable of compositional generalization, i.e., generating convincing samples for out-of-distribution combinations of conditioners, but the mechanisms underlying this ability remain unclear. To make this concrete, we study length generalization, the ability to generate images with more objects than seen during training.… Read More »Local Mechanisms of Compositional Generalization in Conditional Diffusion Apple Machine Learning Research

Vxceed builds the perfect sales pitch for sales teams at scale using Amazon Bedrock Roger Wang Artificial Intelligence

​[[{“value”:” This post was co-written with Cyril Ovely from Vxceed. Consumer packaged goods (CPG) companies face a critical challenge in emerging economies: how to effectively retain revenue and grow customer loyalty at scale. Although these companies invest 15–20% of their revenue in trade promotions and… Read More »Vxceed builds the perfect sales pitch for sales teams at scale using Amazon Bedrock Roger Wang Artificial Intelligence

Implement a secure MLOps platform based on Terraform and GitHub Jordan Grubb Artificial Intelligence

​[[{“value”:” Machine learning operations (MLOps) is the combination of people, processes, and technology to productionize ML use cases efficiently. To achieve this, enterprise customers must develop MLOps platforms to support reproducibility, robustness, and end-to-end observability of the ML use case’s lifecycle. Those platforms are based… Read More »Implement a secure MLOps platform based on Terraform and GitHub Jordan Grubb Artificial Intelligence

The AI Teaching Toolkit: Practical Guidance for Teams Andrew Stellman AI & ML – Radar

​[[{“value”:” Teaching developers to work effectively with AI means building habits that keep critical thinking active while leveraging AI’s speed. But teaching these habits isn’t straightforward. Instructors and team leads often find themselves needing to guide developers through challenges in ways that build confidence rather… Read More »The AI Teaching Toolkit: Practical Guidance for Teams Andrew Stellman AI & ML – Radar