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Wolfram Notebook Assistant
Easy access to LLM technology that interprets plain text input into computational Wolfram Language code. Efficient for testing new ideas, pinpointing the most-useful functions and options, and filling in content.
Not only has it learned “what’s reasonable” from seeing large amounts of Wolfram Language code; it also has access to “internal information”—like a stream of telemetry about messages that were generated (as well as stack traces, etc. Also critical to Notebook Assistant is its access to a variety of RAGs based on vector databases, that it uses for immediate semantic search of material such as Wolfram Language documentation. But once you have the appropriate access key you’ll be able to set things up so that you can pick that LLM provider interactively in Chat Notebooks, programmatically through LLMConfiguration, or in the Preferences panel.
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