Search: “tutorials”

arXiv:2601.16510v3 Announce Type: replace-cross Abstract: Solving massive-scale optimization problems requires scalable first-order methods with low per-iteration cost. This tutorial highlights a shif

OpenAI Academy is a free, publicly accessible learning hub created by OpenAI to democratize AI knowledge, offering tutorials, workshops, and digital content ranging from foundational AI literacy to...

The OpenAI Academy's 'ChatGPT for Finance Teams' tutorial teaches finance professionals how to leverage ChatGPT to streamline reporting, analyze data, improve forecasts, and communicate insights mo...

The OpenAI Academy's 'ChatGPT for Marketing Teams' tutorial provides marketing and brand teams with prompts and use-case guidance to streamline strategy, content creation, and performance analysis,...

The OpenAI Academy 'ChatGPT for Research' tutorial teaches users how to leverage ChatGPT's research capabilities — including Web Search and Deep Research mode — to find live data, synthesize source...

OpenAI Academy's 'Getting Started with ChatGPT' tutorial introduces users to ChatGPT as a conversational AI application built on large language models, teaching core concepts such as how to write e...

The OpenAI Academy 'Personalizing ChatGPT' tutorial covers several methods users can employ to tailor ChatGPT's behavior to their needs, including custom instructions, memory, and prompt engineerin...

LangChain's 'Better Harness' tutorial, authored by Product Manager Vivek Trivedy and shared by Harrison Chase (@hwchase17), presents a hands-on, code-driven guide for using evaluations (evals) as a...

Deploy a text-to-speech model on Amazon SageMaker AI with the AWS vLLM-Omni Deep Learning Container and stream generated speech over a persistent bidirectional connection. This Part 1 tutorial deploys

Note that this is an experimental model meant to show how you can train your own specialized decision models fairly easily! You can also check out the model weights here, along with the full tutorial

Introducing 𝐒𝐩𝐞𝐜𝐮𝐥𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐜𝐨𝐝𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐈𝐭 𝐄𝐯𝐨𝐥𝐯𝐞𝐝, 𝐖𝐡𝐞𝐧 𝐈𝐭 𝐒𝐭𝐚𝐲𝐬 𝐋𝐨𝐬𝐬𝐥𝐞𝐬𝐬, 𝐚𝐧𝐝 𝐖𝐡𝐚𝐭'𝐬 𝐍𝐞𝐱𝐭. An interactive tutorial @Madisonkanna and I built for the NeurIPS Education Track. Every LLM you use generate

I am interviewing @NousResearch Hermes co-founder @karan4d tomorrow, what topics would you like to see us cover? I already covered setup, integrations, and basic cron jobs in a previous tutorial - so

This Replit blog post likely provides a tutorial or guide for building a custom Shopify e-commerce store, demonstrating how to leverage Replit's development environment and tools to create a personali

This post likely provides a beginner-friendly introduction or tutorial on tmux, a terminal multiplexer used for managing multiple terminal sessions and windows within a single connection. Based on the

This tutorial demonstrates how to implement full-text search functionality using Pinecone's vector database, using bird-related data as a practical example. It likely covers setting up Pinecone, index

This video from @tonbistudio provides a tutorial on Hermes Dashboard plugins and their development process. The content likely covers plugin architecture, building custom plugins, and integration meth

GitHub for Beginners: Getting started with the GitHub Copilot CLI, a step-by-step tutorial. The post GitHub Copilot CLI for Beginners: Getting started with GitHub Copilot CLI appeared first on The Git

arXiv:2610.13430v1 Announce Type: cross Abstract: Time series causal discovery --- the process of detecting causation between time series --- has its roots in signal processing research from over a ha

arXiv:2609.23367v1 Announce Type: cross Abstract: FORM is a domain-specific symbolic manipulation language widely used in particle physics for processing the very large algebraic expressions arising f

arXiv:2609.11281v1 Announce Type: cross Abstract: Learning and decision-making in animals are often modeled as Bayesian processes, where sensory evidence is integrated with prior beliefs to guide beha

arXiv:2608.07648v1 Announce Type: cross Abstract: Sampling high-dimensional probability distributions is a central task in scientific computing, with applications ranging from Bayesian inference to st

arXiv:2606.06895v1 Announce Type: cross Abstract: The deployment of embodied artificial intelligence via world-model-based robotics presents a transformative opportunity for blockchain infrastructure,

arXiv:2605.30553v1 Announce Type: new Abstract: I present diffusion models as part of a family of machine learning techniques that withhold information from a model's input and train it to guess the w

The OpenAI Academy's 'ChatGPT for Sales Teams' resource provides sales-focused prompts and use cases designed to streamline outreach, strategy, competitive intelligence, data analysis, and visual e...

arXiv:2610.07900v1 Announce Type: cross Abstract: Wi-Fi 9 is expected to go beyond mere communication and provide new services such as sensing or computation. At this juncture, Artificial Intelligence

arXiv:2610.08214v1 Announce Type: new Abstract: We report on an approach to teaching logic to mixed groups of computer science, mathematics, and philosophy students, based on the logico-pluralistic Lo

arXiv:2506.09368v2 Announce Type: replace Abstract: Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by i

arXiv:2610.06252v1 Announce Type: new Abstract: The Lipschitz property of a deep neural network provides a direct measure of its sensitivity to input perturbations and, when explicitly controlled, off

arXiv:2609.27409v1 Announce Type: new Abstract: Limited expert annotation capacity is a pervasive constraint in biodiversity monitoring. Passive acoustic recorders and camera traps generate data faste

We're releasing tev1-4B-experimental, a Jev-like classifier finetuned on top of Qwen3.5 4B. We're making it available on Together serverless at 0.042/M input & 0/M output. Also releasing the data reci

arXiv:2609.19924v1 Announce Type: cross Abstract: Large Language Models (LLMs) transform vast collections of unstructured text into semantic patterns used for language generation and reasoning tasks.

arXiv:2609.10490v1 Announce Type: new Abstract: This feature article provides an overview of the theoretical foundations for coVariance neural networks (VNNs), i.e., graph neural networks (GNNs) opera

arXiv:2604.02637v2 Announce Type: replace Abstract: As large language models (LLMs) become increasingly persuasive, there is concern that people's opinions and decisions may be influenced across vario

arXiv:2608.02433v1 Announce Type: new Abstract: Reinforcement learning and control theory are two adjacent scientific fields that focus on optimizing the controller of unknown dynamical systems using

arXiv:2607.13318v1 Announce Type: new Abstract: Procedural material creation underpins applications in digital content creation, visual effects, and 3D asset design. Achieving high-quality results req

arXiv:2607.01819v1 Announce Type: cross Abstract: The Koopman operator has gained considerable attention due to its ability to provide a global linear representation of highly complex dynamical system

arXiv:2504.15388v3 Announce Type: replace-cross Abstract: In the context of multivariate nonparametric regression with missing covariates, we propose Pattern Embedded Neural Networks (PENNs), which ca

arXiv:2606.21773v1 Announce Type: new Abstract: Plugging predictions of unknown parameters into downstream optimization problems, often referred to as the ``predict-then-optimize'' paradigm, has long

This appears to be a call for community input from DAIR.AI's Omar Saro regarding hands-on educational material development, likely soliciting topic requests and feedback from followers on what technic

arXiv:2601.10222v2 Announce Type: replace-cross Abstract: Optimization is central to both modern machine learning (ML) and scientific machine learning (SciML), yet the structure of the underlying opti

arXiv:2506.01928v4 Announce Type: replace Abstract: Diffusion-based language models offer a compelling alternative to autoregressive (AR) models by enabling parallel and controllable generation. Withi

Aleph 2.0 Introducing Runway Aleph 2.0. Edit videos using AI, keeping camera and motion all consistent. Select specific frames in your video to reprompt with GPT Images 2.0 or Nano Banana 2, then appl

arXiv:2605.17181v1 Announce Type: cross Abstract: Learning the violin is harder than it looks. Unlike piano keys or guitar frets, the violin neck has no markings at all, so a beginner cannot tell by l

arXiv:2602.21185v2 Announce Type: replace Abstract: Uniform-state discrete diffusion models excel at few-step generation and guidance due to their ability to self-correct, making them preferred over a

arXiv:2605.17605v1 Announce Type: new Abstract: Modern generative modeling has grown into a broad collection of related but often separately implemented paradigms, including denoising diffusion models

arXiv:2605.02306v1 Announce Type: new Abstract: Bayesian filtering is a cornerstone of state estimation in complex systems such as aerospace systems, yet exact solutions are available only for linear