tutorials

ICYMI from a few weeks back, we compiled our learnings around how to achieve Training-Inference Parity in MoE Models. The Fundamental Issue:…

Fireworks AI published a compilation of insights on achieving training-inference parity in Mixture of Experts (MoE) models, addressing fundamental challenges in aligning model behavior between trainin

tutorialsfireworks-ai--x

18 Apr 2026

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NEWS: World Bank research shows every 10% increase in broadband penetration can raise GDP growth by 1.21% in countries like South Africa. Ye…

DGX agent

NEWS: World Bank research shows every 10% increase in broadband penetration can raise GDP growth by 1.21% in countries like South Africa. Yet South Africa is blocking Starlink with race-based ownershi

tutorialselon-musk--x

18 Apr 2026

Q: Why are stories set in zero dimensional space so uninteresting?

This post likely discusses why narratives or thought experiments set in zero-dimensional space—where there is no length, width, height, or any spatial extension—fail to generate compelling storytellin

18 Apr 2026

'Ron discovered how to be the investor of the future by accident. He didn't foresee the future of startup investing, realize it would pay to…

'Ron discovered how to be the investor of the future by accident. He didn't foresee the future of startup investing, realize it would pay to be upstanding, and force himself to behave that way. It wou

tutorialssam-altman--x

18 Apr 2026

A Pythonic Functional Approach for Semantic Data Harmonisation in the ILIAD Project

arXiv:2604.13042v1 Announce Type: cross Abstract: Semantic data harmonisation is a central requirement in the ILIAD project, where heterogeneous environmental data must be harmonised according to the

All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction

arXiv:2601.04567v2 Announce Type: replace Abstract: Harmful memes are ever-shifting in the Internet communities, which are difficult to analyze due to their type-shifting and temporal-evolving nature.

@AmandaAskell are you the person to thank for this?

Amanda Askell is likely a researcher or professional involved in AI safety or alignment work, and Jeremy Howard is publicly crediting or thanking her for a contribution or achievement on social media.

Attention to Mamba: A Recipe for Cross-Architecture Distillation

arXiv:2604.14191v1 Announce Type: new Abstract: State Space Models (SSMs) such as Mamba have become a popular alternative to Transformer models, due to their reduced memory consumption and higher thro

Beyond Visual Cues: Semantic-Driven Token Filtering and Expert Routing for Anytime Person ReID

arXiv:2604.15090v1 Announce Type: new Abstract: Any-Time Person Re-identification (AT-ReID) necessitates the robust retrieval of target individuals under arbitrary conditions, encompassing both modali

CART: Context-Aware Terrain Adaptation using Temporal Sequence Selection for Legged Robots

arXiv:2604.14344v1 Announce Type: new Abstract: Animals in nature combine multiple modalities, such as sight and feel, to perceive terrain and develop an understanding of how to walk on uneven terrain

tutorialsarxiv-cs-ro

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding

arXiv:2601.21262v3 Announce Type: replace Abstract: Although Multimodal Large Language Models (MLLMs) have shown remarkable potential in Visual Document Retrieval (VDR) through generating high-quality

Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding

arXiv:2604.14692v1 Announce Type: new Abstract: Video understanding requires identifying and reasoning over semantically discriminative visual objects across frames, yet existing object-agnostic solut

Cloning is as Hard as Learning for Stabilizer States

arXiv:2604.15269v1 Announce Type: cross Abstract: The impossibility of simultaneously cloning non-orthogonal states lies at the foundations of quantum theory. Even when allowing for approximation erro

Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance

arXiv:2604.14370v1 Announce Type: cross Abstract: AI tools increasingly guide targeted interventions in healthcare, education, and recruiting. Algorithms score individuals, trigger outreach to those a

DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts

arXiv:2604.14684v1 Announce Type: new Abstract: Visual prompted object detection enables interactive and flexible definition of target categories, thereby facilitating open-vocabulary detection. Since

Differentiable Object Pose Connectivity Metrics for Regrasp Sequence Optimization

arXiv:2604.14733v1 Announce Type: new Abstract: Regrasp planning is often required when one pick-and-place cannot transfer an object from an initial pose to a goal pose while maintaining grasp feasibi

tutorialsarxiv-cs-ro

Differentially Private Conformal Prediction

arXiv:2604.14621v1 Announce Type: cross Abstract: Conformal prediction (CP) has attracted broad attention as a simple and flexible framework for uncertainty quantification through prediction sets. In

DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering

arXiv:2604.15140v1 Announce Type: new Abstract: We introduce DiscoTrace, a method to identify the rhetorical strategies that answerers use when responding to information-seeking questions. DiscoTrace

Executive producer @notiansans Submissions open

tutorialscristobal-valenzuela--x

Executive producer @notiansans Submissions open Two weeks to pitch a show you wish existed. $100K in cash prizes. Bring your biggest, most ambitious ideas to life with Runway. No studio notes or budge

Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications

arXiv:2510.18935v3 Announce Type: replace Abstract: Earth observation involves collecting, analyzing, and processing an ever-growing mass of data. This planetary data is crucial for addressing relevan

Federated Multi-Task Clustering

arXiv:2512.22897v3 Announce Type: replace Abstract: Spectral clustering has emerged as one of the most effective clustering algorithms due to its superior performance. However, most existing models ar

FRAGATA: Semantic Retrieval of HPC Support Tickets via Hybrid RAG over 20 Years of Request Tracker History

arXiv:2604.13721v1 Announce Type: cross Abstract: The technical support team of a supercomputing centre accumulates, over the course of decades, a large volume of resolved incidents that constitute cr

From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution

arXiv:2604.15097v1 Announce Type: cross Abstract: This beta technical report asks how reusable experience should be represented so that it can function as effective test-time control and as a substrat

🆕 Harness Engineering: How to Build Software When Humans Steer, Agents Execute https://www.youtube.com/watch?v=am_oeAoUhew @_lopopolo is on…

🆕 Harness Engineering: How to Build Software When Humans Steer, Agents Execute https://www.youtube.com/watch?v=am_oeAoUhew @_lopopolo is one of the emerging class of token billionaires at @OpenAI, and

tutorialsswyx--x

Hey that’s me!

Hey that’s me! 🆕 Harness Engineering: How to Build Software When Humans Steer, Agents Execute https://www.youtube.com/watch?v=am_oeAoUhew @_lopopolo is one of the emerging class of token billionaires

tutorialsswyx--x

How robots learn: A brief, contemporary history

Roboticists used to dream big but build small. They’d hope to match or exceed the extraordinary complexity of the human body, and then they’d spend their career refining robotic arms for auto plants.

tutorialsmit-tech-review

How to Correctly Make Mistakes: A Framework for Constructing and Benchmarking Mistake Aware Egocentric Procedural Videos

arXiv:2604.15134v1 Announce Type: new Abstract: Reliable procedural monitoring in video requires exposure to naturally occurring human errors and the recoveries that follow. In egocentric recordings,

How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data

arXiv:2604.14164v1 Announce Type: new Abstract: A widely adopted strategy for model enhancement is to use synthetic data generated by a stronger model for supervised fine-tuning (SFT). However, for em

Hybrid Decision Making via Conformal VLM-generated Guidance

arXiv:2604.14980v1 Announce Type: cross Abstract: Building on recent advances in AI, hybrid decision making (HDM) holds the promise of improving human decision quality and reducing cognitive load. We

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality

arXiv:2506.19807v4 Announce Type: replace-cross Abstract: Large Language Models (LLMs), particularly slow-thinking models, often exhibit severe hallucination, outputting incorrect content due to an in

Learning temporal embeddings from electronic health records of chronic kidney disease patients

arXiv:2601.18675v2 Announce Type: replace Abstract: We investigate whether temporal embedding models trained on longitudinal electronic health records can learn clinically meaningful representations w

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making

arXiv:2512.17091v2 Announce Type: replace Abstract: We propose a new approach for solving planning problems with a hierarchical structure, fusing reinforcement learning and MPC planning. Our formulati

LLM agents loop, drift, and get stuck on hard reasoning tasks up to 30% of the time. Current fixes are either too blunt (hard step limits) o…

LLM agents loop, drift, and get stuck on hard reasoning tasks up to 30% of the time. Current fixes are either too blunt (hard step limits) or too expensive (LLM-as-judge adding 10-15% overhead per ste

tutorialsdair-ai--x

@_lopopolo @aiDotEngineer @badlogicgames Harnes Engineering talk: https://x.com/aiDotEngineer/status/2044937501593460773?s=20

@_lopopolo @aiDotEngineer @badlogicgames Harnes Engineering talk: https://x.com/aiDotEngineer/status/2044937501593460773?s=20 🆕 Harness Engineering: How to Build Software When Humans Steer, Agents Exe

tutorialsswyx--x

Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design

arXiv:2604.14424v1 Announce Type: new Abstract: Most practical engineering design problems involve nonlinear spatio-temporal dynamical systems. Multi-physics simulations are often performed to capture

Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities

This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatab

tutorialsaws-ml-blog

Optimal algorithmic complexity of inference in quantum kernel methods

arXiv:2604.15214v1 Announce Type: cross Abstract: Quantum kernel methods are among the leading candidates for achieving quantum advantage in supervised learning. A key bottleneck is the cost of infere

Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock

In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a muc

tutorialsaws-ml-blog

Optimizing the Network Topology of a Linear Reservoir Computer

arXiv:2509.23391v3 Announce Type: replace-cross Abstract: Machine learning has become a fundamental approach for modeling, prediction, and control, enabling systems to learn from data and perform comp

Power video semantic search with Amazon Nova Multimodal Embeddings

In this post, we show you how to build a video semantic search solution on Amazon Bedrock using Nova Multimodal Embeddings that intelligently understands user intent and retrieves accurate video resul

tutorialsaws-ml-blog

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization

arXiv:2508.10164v2 Announce Type: replace Abstract: Recent advances in Large Reasoning Models (LRMs) have demonstrated strong performance on complex tasks through long Chain-of-Thought (CoT) reasoning

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold

arXiv:2604.13392v1 Announce Type: new Abstract: Tabular data remains prevalent in high-stakes domains such as healthcare and finance, where predictive models are expected to provide both high accuracy

@RoyRogers_HTMS This is the way I like to see the Hurdy-Gurdy played.

Roy Rogers demonstrates his preferred style of playing the hurdy-gurdy, showcasing traditional or characteristic technique in this post shared by Jeremy Howard on X. The post reflects appreciation for

Runway's Big Pitch Contest For Shows That Don't Exist Yet. * but that might exist soon

tutorialscristobal-valenzuela--x

Runway's Big Pitch Contest For Shows That Don't Exist Yet. * but that might exist soon Two weeks to pitch a show you wish existed. $100K in cash prizes. Bring your biggest, most ambitious ideas to lif

So cool to see that open-source, with open experimentation (and with the help of someone posting blog posts about their personal research), …

So cool to see that open-source, with open experimentation (and with the help of someone posting blog posts about their personal research), can yield a very robust method for MoE balancing. This metho

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning

arXiv:2604.14170v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) grounds Large Language Models (LLMs) in external knowledge but often suffers from flat context representations and

The one nag I have to add to the system prompt still: 'PLEASE remember and follow this CRITICAL guidance with great care: Do NOT end respons…

The one nag I have to add to the system prompt still: 'PLEASE remember and follow this CRITICAL guidance with great care: Do NOT end responses with follow-up offers like 'Want me to...', 'Let me know

Unraveling the Mechanism of Drug Binding to SARS-CoV-2 RNA Pseudoknot with Thermodynamics-Driven Machine Learning

arXiv:2604.14906v1 Announce Type: cross Abstract: The SARS-CoV-2 RNA pseudoknot is a promising target for antiviral intervention, as it regulates the efficiency of -1 programmed ribosomal frameshiftin