Ekster’s Stylish Wallet is Pocket-Sized Perfection
This trackable wallet is compact and has a trigger for quickly finding the right card.
10 Podcasts That Every Machine Learning Enthusiast Should Subscribe To
Podcasts are a fun and easy way to learn about machine learning.
o1’s Thoughts on LNMs and LMMs
TL;DR We asked o1 to share its thoughts on our recent LNM/LMM post. https://www.artificial-intelligence.show/the-ai-podcast/o1s-thoughts-on-lnms-and-lmms What is your take on blog post “Why AI Needs Large Numerical Models (LNMs) for Mathematical Mastery“? Thought about large numerical and mathematics models for a few seconds.Confirming Additional BreakthroughsOK, I’m confirming if LNMs/LMMs need more than Transformer models to match …
Leading Federal IT Innovation
Palantir and Grafana Labs’ Strategic Partnership Introduction In today’s rapidly evolving technological landscape, government agencies face the pressing challenge of managing increasingly complex IT infrastructures. Effective software observability and monitoring are critical for ensuring operational efficiency and security. Recognizing this need, Palantir and Grafana Labs have formed a strategic partnership through the FedStart program aimed …
How Amazon trains sequential ensemble models at scale with Amazon SageMaker Pipelines
Amazon SageMaker Pipelines includes features that allow you to streamline and automate machine learning (ML) workflows. This allows scientists and model developers to focus on model development and rapid experimentation rather than infrastructure management Pipelines offers the ability to orchestrate complex ML workflows with a simple Python SDK with the ability to visualize those workflows …
Read more “How Amazon trains sequential ensemble models at scale with Amazon SageMaker Pipelines”
Orchestrating GPU-based distributed training workloads on AI Hypercomputer
When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs and TPUs) across multiple compute hosts to train their models efficiently. This can lead to orchestration, resource …
Read more “Orchestrating GPU-based distributed training workloads on AI Hypercomputer”
Cohere’s smallest, fastest R-series model excels at RAG, reasoning in 23 languages
Cohere’s Command R7B uses RAG, features a context length of 128K, supports 23 languages and outperforms Gemma, Llama and Ministral.Read More
Tips for ChatGPT’s Voice Mode? Best AI Uses for Retirees? Our Expert Answers Your Questions
If you missed our second live, subscriber-only Q&A with WIRED’s AI columnist Reece Rogers, you can watch the replay here.
Teaching a robot its limits to complete open-ended tasks safely
If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of a specific task within the machine’s environment, to do chores safely and correctly.
Jasper Named a 2025 NRF Innovator at Retail’s Big Show
The Innovators Showcase at NRF 2025: Retail’s Big Show recognizes the top 50 tech leaders shaping the future of retail.