Update the Judge LLM settings in the examples to avoid retries

[AnuradhaKaruppiah]

The ragas nv_metrics require 3-8 tokens, temperature can be left at the default of 0.1.
Also adjusted the LLM model based on the leadership board.

Description

Closes #202

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[Copilot]

Pull Request Overview

This PR updates the judge LLM settings used across various example configurations and documentation to align with the new leadership board recommendations. Key changes include updating the model name from meta/llama-3.3-70b-instruct to meta/llama-3.1-70b-instruct, removing explicit temperature and top_p parameters from the nim_rag_eval_llm configuration, and increasing the max_tokens value from 2–6 tokens to 8 tokens.

Reviewed Changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
examples/simple/src/aiq_simple/configs/eval_upload_config.yml	Updated nim_rag_eval_llm configuration to use the new model and token count, removing unneeded temperature and top_p settings.
examples/simple/src/aiq_simple/configs/eval_config.yml	Adjusted nim_rag_eval_llm parameters to match the new standard.
examples/email_phishing_analyzer/configs/config.yml	Consistent update of nim_rag_eval_llm settings for email phishing analyzer.
examples/email_phishing_analyzer/configs/config-reasoning.yml	Similar update to nim_rag_eval_llm configuration.
examples/email_phishing_analyzer/configs/config-phi-3-mini-4k-instruct.yml	Updated nim_rag_eval_llm settings to reflect the new token count and model.
examples/email_phishing_analyzer/configs/config-phi-3-medium-4k-instruct.yml	Modified nim_rag_eval_llm configuration accordingly.
examples/email_phishing_analyzer/configs/config-mixtral-8x22b-instruct-v0.1.yml	Updated nim_rag_eval_llm to the new model name and token count.
examples/email_phishing_analyzer/configs/config-llama-3.3-70b-instruct.yml	Changed model references and removed explicit temperature and top_p parameters.
examples/email_phishing_analyzer/configs/config-llama-3.1-8b-instruct.yml	Updates mirror other nim_rag_eval_llm configurations.
examples/documentation_guides/workflows/text_file_ingest/src/text_file_ingest/configs/config.yml	Adjusted nim_rag_eval_llm settings for consistency with overall configuration changes.
docs/source/guides/evaluate.md	Documentation updated to reflect the new judge LLM model and token configuration, along with guidance on the recommended settings.

Comments suppressed due to low confidence (2)

examples/simple/src/aiq_simple/configs/eval_upload_config.yml:42

• Ensure that the removal of explicit 'temperature' and 'top_p' entries in the nim_rag_eval_llm configuration is intentional and that the defaults (e.g., a temperature of 0.1) are correctly applied across all environments.

max_tokens: 8

docs/source/guides/evaluate.md:115

• Confirm that the updated judge LLM model name in the documentation aligns with the configuration changes across the project and reflects the intended leadership board update.

model_name: meta/llama-3.1-70b-instruct

[AnuradhaKaruppiah]

/merge