Model Selection Guide

Modified on Tue, 24 Jun at 3:56 PM

Noticia Go offers three AI models. Each has strengths depending on your review task. All models work with structured text files and support relevance review, privilege, objective coding, PII identification, and more.


Available Models

Meta LLaMA 3.3 Instruct (70B)

  • Best for: Fast, consistent tagging; clear-cut classification tasks.

  • Strengths: Reliable with structured prompts, performs well on binary decisions (e.g., privilege yes/no).

  • Limitations: Less context-aware on subtle or ambiguous phrasing.

Anthropic Claude 3.7 Sonnet

  • Best for: Long, nuanced documents; contextual judgment calls.

  • Strengths: Strong reasoning, context retention, and sensitivity to tone.

  • Limitations: Slightly slower; may over-explain or hedge responses.

OpenAI o3 Mini

  • Best for: Lightweight tasks; quick scans; high-volume batch runs.

  • Strengths: Fast and efficient; works well on simpler extraction or tagging.

  • Limitations: Limited context depth; may miss edge cases in complex documents.


Task-Based Recommendations

TaskRecommended Model(s)
RelevanceLLaMA or Claude
PrivilegeClaude
Objective CodingLLaMA
PII IdentificationLLaMA or o3 Mini (high volume)
Long, Narrative ReviewClaude
Fast Batch Reviewo3 Mini


In short, use LLaMA for precision and speed, Claude for nuance, and o3 Mini for scale. You can switch models per run to suit the job. While these are not absolute rules/truths, this is a starting point for your understanding and optimal use of these models. 


Was this article helpful?

That’s Great!

Thank you for your feedback

Sorry! We couldn't be helpful

Thank you for your feedback

Let us know how can we improve this article!

Select at least one of the reasons
CAPTCHA verification is required.

Feedback sent

We appreciate your effort and will try to fix the article