How Amazon Search increased ML training twofold using AWS Batch for Amazon SageMaker Training jobsArtificial Intelligence In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation.
In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation. Read More
How I Prepared for a Data Science Interview at a Large Tech CompanyKDnuggets And got the job.
And got the job. Read More
Artificial neurons that behave like real brain cellsArtificial Intelligence News — ScienceDaily USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence.
USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence. Read More
Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style PromptsMarkTechPost How can consistency training help language models resist sycophantic prompts and jailbreak style attacks while keeping their capabilities intact? Large language models often answer safely on a plain prompt, then change behavior when the same task is wrapped with flattery or role play. DeepMind researchers propose consistent training in a simple training lens for this
The post Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts appeared first on MarkTechPost.
How can consistency training help language models resist sycophantic prompts and jailbreak style attacks while keeping their capabilities intact? Large language models often answer safely on a plain prompt, then change behavior when the same task is wrapped with flattery or role play. DeepMind researchers propose consistent training in a simple training lens for this
The post Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts appeared first on MarkTechPost. Read More
Teaching robots to map large environmentsMIT News – Machine learning A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings. Read More
How Chime is redefining marketing through AIOpenAI News Vineet Mehra, Chief Marketing Officer at Chime, shares how AI is reshaping marketing into an agent-driven discipline. He explains why CMOs who champion AI literacy and thoughtful adoption will lead in the new era of growth.
Vineet Mehra, Chief Marketing Officer at Chime, shares how AI is reshaping marketing into an agent-driven discipline. He explains why CMOs who champion AI literacy and thoughtful adoption will lead in the new era of growth. Read More
We Didn’t Invent Attention — We Just Rediscovered ItTowards Data Science How selective amplification emerged across evolution, chemistry, and AI through convergent mathematical solutions
The post We Didn’t Invent Attention — We Just Rediscovered It appeared first on Towards Data Science.
How selective amplification emerged across evolution, chemistry, and AI through convergent mathematical solutions
The post We Didn’t Invent Attention — We Just Rediscovered It appeared first on Towards Data Science. Read More
AI Papers to Read in 2025Towards Data Science Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science.
The post AI Papers to Read in 2025 appeared first on Towards Data Science.
Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science.
The post AI Papers to Read in 2025 appeared first on Towards Data Science. Read More
How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)Towards Data Science Evaluating the retrieval quality of your RAG pipeline with binary, order-aware measures
The post How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP) appeared first on Towards Data Science.
Evaluating the retrieval quality of your RAG pipeline with binary, order-aware measures
The post How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP) appeared first on Towards Data Science. Read More
Why Nonparametric Models Deserve a Second LookTowards Data Science Discover how nonparametric conditional distributions unify regression, classification, and synthetic data generation—without assuming functional forms.
The post Why Nonparametric Models Deserve a Second Look appeared first on Towards Data Science.
Discover how nonparametric conditional distributions unify regression, classification, and synthetic data generation—without assuming functional forms.
The post Why Nonparametric Models Deserve a Second Look appeared first on Towards Data Science. Read More
