· ai
How Generative AI Development Is Transforming Modern Digital Innovation
Generative AI has rapidly evolved into one of the most disruptive technologies shaping today’s digital landscape. From automated content creation to intelligent...
-
- · ai
I Built a Brazilian Portuguese LLM from Scratch - Here's What I Learned
!Cover image for I Built a Brazilian Portuguese LLM from Scratch - Here's What I Learnedhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,grav...
- · ai
Building production AI on Google Cloud TPUs with JAX
JAX has become a key framework for developing state‑of‑the‑art foundation models across the AI landscape, and not just at Google. Leading LLM providers such as...
- · ai
[Paper] Evolving Excellence: Automated Optimization of LLM-based Agents
Agentic AI systems built on large language models (LLMs) offer significant potential for automating complex workflows, from software development to customer sup...
- · ai
[Paper] Astra: General Interactive World Model with Autoregressive Denoising
Recent advances in diffusion transformers have empowered video generation models to generate high-quality video clips from texts or images. However, world model...
- · ai
[Paper] Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs
We introduce two new benchmarks REST and REST+(Render-Equivalence Stress Tests) to enable systematic evaluation of cross-modal inconsistency in multimodal large...
- · ai
[Paper] OSMO: Open-Source Tactile Glove for Human-to-Robot Skill Transfer
Human video demonstrations provide abundant training data for learning robot policies, but video alone cannot capture the rich contact signals critical for mast...
- · ai
[Paper] SAQ: Stabilizer-Aware Quantum Error Correction Decoder
Quantum Error Correction (QEC) decoding faces a fundamental accuracy-efficiency tradeoff. Classical methods like Minimum Weight Perfect Matching (MWPM) exhibit ...
- · ai
[Paper] Open Polymer Challenge: Post-Competition Report
Machine learning (ML) offers a powerful path toward discovering sustainable polymer materials, but progress has been limited by the lack of large, high-quality,...
- · ai
[Paper] Unsupervised Learning of Density Estimates with Topological Optimization
Kernel density estimation is a key component of a wide variety of algorithms in machine learning, Bayesian inference, stochastic dynamics and signal processing....
- · ai
[Paper] Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training
While scaling laws for Large Language Models (LLMs) traditionally focus on proxy metrics like pretraining loss, predicting downstream task performance has been ...
- · ai
[Paper] Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
Retrieval-Augmented Generation (RAG) improves the factuality of large language models (LLMs) by grounding outputs in retrieved evidence, but faithfulness failur...