docs: Add Generative SLM support for INFERENCE data event

[javoweb-fc]

Description

This PR extends the INFERENCE data event documentation to add support for on-device SLM inference, alongside the existing Vision ML modes.

Key Changes

1. Execution Modes: Adds SLM as a supported execution mode, alongside Vision ML.
2. Model Detection: Documents the supported .tflite, .litertlm, and .task model formats.
3. Parameters: Documents the SLM config schema (prompt, systemPrompt, temperature, topK, topP, maxTokens, contextSize).
4. Callback Signature: Documents the SLM output shape (result.outputs.text).
5. Class Labels: Documents uploading labels.txt as a companion form reference file alongside the Vision ML model and the resolved result.labels output.
6. Device Warnings: Adds SLM-specific battery and memory guidance.
7. New Example: Adds an on-device SLM text summarization example (gemma-4-e2b.litertlm).

JIRA / Issue Reference

Ref: FLCRM-21757

[Copilot]

Pull request overview

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Extends the INFERENCE data event documentation to cover on-device Generative LLM inference (in addition to existing Vision ML) including configuration parameters, output shape, and a new example.

Changes:

• Adds “Generative LLM” as a documented execution mode with an LLM-specific config schema.
• Updates model auto-detection docs and examples to include LLM model file extensions and outputs.
• Adds an on-device LLM summarization example and additional device resource guidance.

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