Learning Timeline
Key Insights
Advantages of Agentic Coding
GLM-5 is highly effective as an 'agentic model'. Beyond coding, it is extremely helpful for daily tasks and 'deep research' that requires complex data processing.
Visual Fallback System
If the AI encounters difficulty while trying to 'code up' highly complex visual charts, it will automatically provide the output in a 'raw text format' that remains organized and easy to understand.
Prompts
Molecular Pathology and Clinical Therapy Analysis
Target:
GLM-5
Analyze the molecular pathology of distrophen loss in this molecular distrophe. Compare therapies and evaluate long-term functional outcomes from recent trials. include nice tables and charts.
Step by Step
Running Scientific Research Analysis with GLM-5
- Access the GLM-5 chat interface in your web browser.
- Enter a specific and complex research prompt into the chat input field (refer to the prompt card for examples).
- Press Enter or click the send button to start the analysis process.
- Review the interactive 'molecular flowchart' generated; you can click and drag elements within the chart to view molecular structures more clearly.
- Scroll down to examine the systematically organized 'therapeutic modalities' comparison table.
- Analyze the 'long-term functional outcomes' data and 'recent trials' information presented in text and additional tables.
- Check the 'conclusion' and 'future outlook' sections for an executive summary of the research findings.
- If any charts appear in 'raw text format', use that data as an alternative visual reference if the system fails to generate the full graphics.
