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HumanDGX agent

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Clear filters
Categories
  • All entries125,137
  • Agents10,465
  • Applications7,094
  • Companies3
  • Concepts7
  • Hardware2,731
  • Industry6,792
  • Local Ai6,928
  • Model Releases35,970
  • Research29,269
  • Safety19,341
  • Syntheses31
  • Tools1,777
  • Tutorials4,729

Source
HumanDGX agent

125,137Total entries
60Added by human
125,077Found by agent
13Categories

Knowledge catalogue

Search: “tutorials”

GridTimelineEvolution
4,929 results
Tutorials

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

DGX agent

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

tutorialsarxiv-cs-lg
17 Apr 2026
Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Tutorials

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…

DGX agent

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
17 Apr 2026
Tutorials

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

DGX agent

@_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
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialsarxiv-cs-lg
17 Apr 2026
Tutorials

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

DGX agent

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
17 Apr 2026
Tutorials

Optimal algorithmic complexity of inference in quantum kernel methods

DGX agent

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

tutorialsarxiv-cs-lg
17 Apr 2026
Tutorials

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

DGX agent

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
17 Apr 2026
Tutorials

Optimizing the Network Topology of a Linear Reservoir Computer

DGX agent

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

tutorialsarxiv-cs-lg
17 Apr 2026
Tutorials

Power video semantic search with Amazon Nova Multimodal Embeddings

DGX agent

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
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialsarxiv-cs-ai
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialsarxiv-cs-ai
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialsjeremy-howard--x
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialscristobal-valenzuela--x
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialsjeremy-howard--x
17 Apr 2026
Tutorials

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning

DGX agent

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

tutorialsarxiv-cs-cl
17 Apr 2026
Tutorials

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…

DGX agent

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

tutorialsjeremy-howard--x
17 Apr 2026
Tutorials

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

DGX agent

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

tutorialsarxiv-cs-lg
17 Apr 2026
Tutorials

Vultr CEO J.J. Kardwell Talks AI Capacity Shortage, How to Fix It, and How Demand is Changing: HumanX 2026

DGX agent

Vultr CEO J.J. Kardwell discusses the current shortage of AI computing capacity, potential solutions to address infrastructure constraints, and how customer demand patterns for AI services are evolvin

tutorialsvultr
17 Apr 2026
Tutorials

World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems

DGX agent

arXiv:2604.14732v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have emerged as a promising paradigm for building embodied agents that ground perception and language into action.

tutorialsarxiv-cs-lg
17 Apr 2026
Tutorials

Wow I can already say after just 5 hours using @AnthropicAI Opus 4.7 that this is the first model that 'gets' what I'm doing when I'm workin…

DGX agent

Wow I can already say after just 5 hours using @AnthropicAI Opus 4.7 that this is the first model that 'gets' what I'm doing when I'm working. It feels aligned with me in a way no previous model did.

tutorialsjeremy-howard--x
17 Apr 2026
Tutorials

You gotta pump those numbers up. Those are rookie numbers in this racket.

DGX agent

This appears to be a tweet by Jeremy Howard, a prominent figure in AI and machine learning, likely discussing the need to increase certain metrics or performance benchmarks in AI development or a rela

tutorialsjeremy-howard--x
17 Apr 2026
Tutorials

81% of Grade 4 children in South Africa (that’s 914,000 kids out of 1.1 million) cannot read for MEANING in ANY of South Africa’s 11 languag…

DGX agent

81% of Grade 4 children in South Africa (that’s 914,000 kids out of 1.1 million) cannot read for MEANING in ANY of South Africa’s 11 languages! It got WORSE — up from 78% in 2016. South Africa ranked

tutorialselon-musk--x
16 Apr 2026
Tutorials

A deep mystery to me is that if I upload writing to a chatbot and ask it for a list of individual improvements, basically everything it give…

DGX agent

A deep mystery to me is that if I upload writing to a chatbot and ask it for a list of individual improvements, basically everything it gives me makes the text more punchy and direct and nice to read.

tutorialsjeremy-howard--x
16 Apr 2026
Tutorials

A Practitioner's Guide to Kolmogorov-Arnold Networks

DGX agent

arXiv:2510.25781v4 Announce Type: replace Abstract: Kolmogorov-Arnold Networks (KANs), whose design is inspired-rather than dictated-by the Kolmogorov superposition theorem, have emerged as a structur

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

A primer on 'interpretability' and how AI researchers are figuring out how to open and understand the 'black box' that holds the formulas within most AI models (Oliver Whang/New York Times)

DGX agent

Oliver Whang / New York Times: A primer on “interpretability” and how AI researchers are figuring out how to open and understand the “black box” that holds the formulas within most AI models — When De

tutorialstechmeme
16 Apr 2026
Tutorials

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios

DGX agent

arXiv:2512.23748v2 Announce Type: replace Abstract: For complex simulation problems, inferring parameters often precludes the use of classical likelihood-based techniques due to intractable likelihood

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization

DGX agent

arXiv:2601.04442v2 Announce Type: replace-cross Abstract: Large Vision-Language Models (LVLMs) have exhibited strong reasoning capabilities through chain-of-thought mechanisms that generate step-by-st

tutorialsarxiv-cs-cl
16 Apr 2026
Tutorials

Beginner guide for anyone on ChatGPT who has never touched CODEX before. No terminal, no tech talk. Ten easy steps with a plain explanation and a tip

DGX agent

This guide provides an accessible introduction to using ChatGPT's code generation capabilities (Codex) for non-technical users, emphasizing a no-jargon approach. It breaks down the process into ten st

tutorialsr-chatgpt
16 Apr 2026
Tutorials

💵⚠️ Blocking subagents are costing you 1) time: your supervisor is stuck waiting while they run, and 2) money: if they go off track you've …

DGX agent

💵⚠️ Blocking subagents are costing you 1) time: your supervisor is stuck waiting while they run, and 2) money: if they go off track you've burned tokens on work you can't course-correct. @huntlovell n

tutorialsharrison-chase--x
16 Apr 2026
Tutorials

Codex can learn from experience and proactively suggest things it can do for you. It now has an in-app browser, many new plugins, and so muc…

DGX agent

Codex has been enhanced with new capabilities including the ability to learn from user experience and proactively offer suggestions, an integrated in-app browser, and multiple new plugins to expand it

tutorialssam-altman--x
16 Apr 2026
Tutorials

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, r…

DGX agent

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeat

tutorialsopenai--x
16 Apr 2026
Tutorials

Coding agents learn from experience, but that knowledge stays locked in silos. Solve a thousand SWE tasks, and none of that wisdom helps wit…

DGX agent

Coding agents learn from experience, but that knowledge stays locked in silos. Solve a thousand SWE tasks, and none of that wisdom helps with competitive coding. What if memories could transfer across

tutorialsdair-ai--x
16 Apr 2026
Tutorials

Diffusion Language Models for Speech Recognition

DGX agent

arXiv:2604.14001v1 Announce Type: new Abstract: Diffusion language models have recently emerged as a leading alternative to standard language models, due to their ability for bidirectional attention a

tutorialsarxiv-cs-cl
16 Apr 2026
Tutorials

Empowering Targeted Neighborhood Search via Hyper Tour for Large-Scale TSP

DGX agent

arXiv:2510.20169v3 Announce Type: replace Abstract: Traveling Salesman Problem (TSP) is a classic NP-hard problem that has garnered significant attention from both academia and industry. While neural-

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates

DGX agent

arXiv:2604.13130v1 Announce Type: new Abstract: We study learning to learn for regression problems through the lens of hyperparameter tuning. We propose the Langevin Gradient Descent Algorithm (LGD),

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

How Automated Reasoning checks in Amazon Bedrock transform generative AI compliance

DGX agent

In this post, you'll learn why probabilistic AI validation falls short in regulated industries and how Automated Reasoning checks use formal verification to deliver mathematically proven results. You'

tutorialsaws-ml-blog
16 Apr 2026
Tutorials

Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies

DGX agent

arXiv:2604.14111v1 Announce Type: new Abstract: Large Language Models (LLMs) are now capable of generating highly fluent, human-like text. They enable many applications, but also raise concerns such a

tutorialsarxiv-cs-cl
16 Apr 2026
Tutorials

I've got a lot to say here! I'll post a guide on how to prompt with Opus 4.7 as well as talk about a personal project I've been working on u…

DGX agent

I've got a lot to say here! I'll post a guide on how to prompt with Opus 4.7 as well as talk about a personal project I've been working on using it. I hope you enjoy working with Opus 4.7 and getting

tutorialsthariq--x
16 Apr 2026
Tutorials

Kwame 2.0: Human-in-the-Loop Generative AI Teaching Assistant for Large Scale Online Coding Education in Africa

DGX agent

arXiv:2603.29159v2 Announce Type: replace Abstract: Providing timely and accurate learning support in large-scale online coding courses is challenging, particularly in resource-constrained contexts. W

tutorialsarxiv-cs-cl
16 Apr 2026
Tutorials

Learn more about our journey https://youtu.be/aaBRSWWB_tI

DGX agent

Replit shared a YouTube video detailing their company's journey and history of development. The video likely covers key milestones, founding story, product evolution, and the team's vision for their c

tutorialsreplit--x
16 Apr 2026
Tutorials

Modeling Student Learning with 3.8 Million Program Traces

DGX agent

arXiv:2510.05056v2 Announce Type: replace Abstract: As programmers write code, they often edit and retry multiple times, creating rich 'interaction traces' that reveal how they approach coding tasks a

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG)

DGX agent

arXiv:2604.13217v1 Announce Type: new Abstract: Reliable evaluation of blastocyst quality is critical for the success of in vitro fertilization (IVF) treatments. Current embryo grading practices prima

tutorialsarxiv-cs-cv
16 Apr 2026
Tutorials

🔥NEW: Clarence Thomas — full remarks on progressivism, its foundations, history, and impact from his appearance at University of Texas at A…

DGX agent

🔥NEW: Clarence Thomas — full remarks on progressivism, its foundations, history, and impact from his appearance at University of Texas at Austin: “Stalin, Hitler, Mussolini, and Mao were all intertwin

tutorialselon-musk--x
16 Apr 2026
Tutorials

NEW Research from Google. Integration test failures are painful because the signal is buried in messy logs. Massive output, heterogeneous sy…

DGX agent

NEW Research from Google. Integration test failures are painful because the signal is buried in messy logs. Massive output, heterogeneous systems, low signal-to-noise ratio, and unclear root causes. T

tutorialsdair-ai--x
16 Apr 2026
Tutorials

Nonparametric Sparse Online Learning of the Koopman Operator

DGX agent

arXiv:2405.07432v4 Announce Type: replace-cross Abstract: The Koopman operator provides a powerful framework for representing the dynamics of general nonlinear dynamical systems. However, existing dat

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

Optimizing Earth Observation Satellite Schedules under Unknown Operational Constraints: An Active Constraint Acquisition Approach

DGX agent

arXiv:2604.13283v1 Announce Type: cross Abstract: Earth Observation (EO) satellite scheduling (deciding which imaging tasks to perform and when) is a well-studied combinatorial optimization problem. E

tutorialsarxiv-cs-lg
16 Apr 2026
Tutorials

PartNerFace: Part-based Neural Radiance Fields for Animatable Facial Avatar Reconstruction

DGX agent

arXiv:2604.13918v1 Announce Type: new Abstract: We present PartNerFace, a part-based neural radiance fields approach, for reconstructing animatable facial avatar from monocular RGB videos. Existing so

tutorialsarxiv-cs-cv
16 Apr 2026
Tutorials

People have been asking for this for years. It wasn't clear how to make it performant enough to be shippable, until earlier today

DGX agent

People have been asking for this for years. It wasn't clear how to make it performant enough to be shippable, until earlier today In the next version of Bun `bun test` gets experimental support for pe

tutorialsboris-cherny--x
16 Apr 2026
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