Search: “tutorials”

The OpenAI Academy 'Analyzing Data with ChatGPT' tutorial teaches users how to perform data analysis using plain-language prompts, without requiring advanced technical skills — ChatGPT handles task...

The OpenAI Academy tutorial 'ChatGPT for Customer Success Teams' covers how ChatGPT supports core customer success functions, including accelerating research, drafting communications, organizing qu...

The OpenAI Academy tutorial 'ChatGPT for Operations Teams' teaches operations professionals how to use ChatGPT to streamline workflows, improve coordination, standardize processes, and drive faster...

The OpenAI Academy 'Research with ChatGPT' tutorial covers how to use ChatGPT's two primary research tools: the Search the Web feature for retrieving live data and sources quickly, and Deep Researc...

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...

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

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

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...

This guide explains how to integrate Transformers.js, a JavaScript library for running machine learning models, into Chrome extensions to enable on-device AI capabilities. It covers the technical setu

'ChatGPT for Managers' is a resource on OpenAI Academy offering a curated set of manager-focused prompts designed to streamline team leadership tasks, including setting strategic goals, drafting fe...

ChatGPT can generate images directly within a conversation by typing a descriptive prompt or selecting the 'Create image' option from the toolbar, with the quality of results depending on how clear...

The OpenAI Academy 'Prompting Fundamentals' resource teaches users the basics of prompt engineering, explaining that a prompt is a question or instruction given to ChatGPT in text, image, audio, or...

Custom GPTs are tailored versions of ChatGPT that users can configure for specific tasks, roles, or workflows by setting instructions, uploading proprietary knowledge files, and enabling capabiliti...

ChatGPT Projects are dedicated workspaces that let users group related chats, upload reference files (such as PDFs, spreadsheets, and images), and set custom instructions so that ChatGPT maintains ...

In ChatGPT, a skill is a reusable, shareable workflow — defined by a `SKILL.md` file — that tells ChatGPT how to consistently execute a specific task without starting from scratch each time. Skills...

ChatGPT allows users to upload and work with files directly within conversations, supporting formats such as CSV, XLSX, PDF, DOCX, JPEG, PNG, and TXT. Users can analyze spreadsheets, summarize docu...

Standard Bots develops AI‑native industrial robot arms (used for machine tending, welding, assembly) that rely on a shared pretrained base model with 1–2 billion parameters. The model is adapted to ea

Ever since people first seriously contemplated giving machines an intelligence modeled on our own, there has never been any question that they would, like us, be able to say no. The sci-fi canon is fu

Enterprise RAG unlocks insights from knowledge sources like SharePoint, Google Drive, and Confluence, but those sources carry complex permissions. Learn how Amazon Quick and Amazon Bedrock Knowledge B

Learn how to administer Amazon SageMaker HyperPod through Amazon SageMaker Unified Studio while preserving cluster governance. This post shows platform teams how to design infrastructure boundaries, g

Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentC

AI is moving beyond the data centers where models are trained and onto factory floors where machines must handle constant change. But traditional industrial robots work behind a cage, repeat a single

With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person viewing the app, so r

John Timmer / Ars Technica: Google DeepMind introduces SynthID Bio, a family of watermarking methods for AI-designed proteins to help with biosecurity and scientific integrity — AI-based tools seem to

This technical how-to builds a conversational claims assistant on Amazon Bedrock Knowledge Bases that answers natural-language questions with citations. It covers ingesting claim documents from Amazon

Waylon Cunningham / Reuters: Investigation: McDonald's is utilizing an AI pricing engine across nearly 14,000 restaurants to generate location-specific “optimal prices” for menu items — McDonald's is

The article discusses the newly released Jev AI model, which functions as a general‑purpose text classifier that can perform classification tasks more quickly and cheaply than large language models li

Part 2 of our Amazon Quick prompt engineering series goes component by component. Learn the prompt patterns that get the best results from Amazon Quick Research, Quick Flows, Quick Sight, chat agents,

Learn how to operationalize Amazon Textract Custom Queries adapters for production: infrastructure as code with AWS CloudFormation and Terraform, a cross-account adapter promotion process, a pre-class

Learn how to run SkyRL, an open-source reinforcement learning framework, on Amazon SageMaker HyperPod to post-train a Qwen3-VL-8B vision-language model with GRPO. This walkthrough covers building the

Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into its TrackAbout platfor

Learn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Amazon EKS, EFA, and Am

Learn how Aderant built an intelligent ticket triage system on Amazon Nova Lite through Amazon Bedrock, automating context gathering, classification, routing, and knowledge enrichment for its cloud op

We just launched our own Jev-like classifier, together/Tev1-4B-experimental, on top of Qwen3.5 4B on Together’s serverless platform. In this blog post we’ll show you how to fine-tune your own version!

After turning a string of spectacular mathematical results into a reputational crisis, OpenAI is consulting human mathematicians to help it figure out a less disastrous path forward. On Monday, the co

Learn how to build a fully serverless pipeline that automatically collects Git metrics from GitHub and GitLab and visualizes them in interactive Amazon Quick Sight dashboards, giving engineering teams

Learn how MRH Trowe, one of Germany's leading commercial and industrial insurance brokers, gave about 400 employees secure, self-service access to AI agents in its first month of production - using St

Learn how to automate end-to-end PII detection and redaction from scanned documents at scale using Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda. A custom

As enterprise organizations scale mission-critical applications, storage I/O and memory access can become severe operational bottlenecks. Whether its Oracle databases, in-memory databases like SAP HAN

Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learning with verifiable r

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring G