Content updates: new guides, test reports and useful resources
Find new learning paths, tool tests and downloadable resources on HotAI.news. Each update links directly to the pages and materials you can use.
Find what is new and put it to use
This page records changes readers can use: new learning paths, tool tests and downloadable resources. Browse the dated entries or choose a task in the learning guides. Test reports describe their inputs and conditions so you can compare the results with your own files. If you find an error or a broken citation, use the corrections form to identify the passage and provide supporting evidence.
Recorded editorial changes
Added five learning paths and a research hub
Five new learning paths cover model selection, office work, video, voice and API integration. The research hub brings sample inputs and downloads together so you can find and reuse materials for your task.
Added learning paths and two tool tests
New learning paths cover coding, knowledge bases and image processing. QR code and text-cleaning tests include their inputs and recorded outputs so you can compare them with your own materials.
Added model-family and product wiki pages
New wiki pages explain models and AI products, including where to access them, version requirements and related concepts. Browse the wiki and check the conditions for the version you use.
Find a learning path for your task
The learning guides cover coding, knowledge bases, image processing, office work, video, voice and API integration. Each path connects relevant concepts, practical steps and ways to check the result, helping you start with the problem in front of you.
If you already know the problem, go straight to the AI Wiki for explanations and troubleshooting. To compare tools or models, start with the model-selection guide, prepare your own samples and acceptance criteria, then consult the relevant test reports.
Check the samples and outputs before reusing a test
The research hub brings together sample inputs, recorded outputs and downloadable materials. The OCR, image enlargement, QR code and text-cleaning reports describe what happened with specific inputs. Compare the original images, text and exported files to check the results.
The knowledge-base and coding experiments also include their materials and test conditions. Read the instructions and reproduce the original run before substituting your own samples. Check devices, formats and use cases outside the documented scope separately.
Report a specific issue with supporting evidence
If a page contains conflicting facts, a broken citation or unclear instructions, submit its URL and the relevant passage through the corrections form. Include public sources that support the correction so the issue can be located and the change explained.
A saved report returns a reference number you can use to check its status. An email address is optional. Please leave out passwords, identity documents and unrelated personal information. Once a correction is complete, refer to the explanation and date on the affected page.