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Nesta página
  • What is Sabiá-3?
  • ​Comparison with Other Models in Adapta One
  • Strengths and Weaknesses of Sabiá-3
  • How Adapta One Enhances Sabiá-3
  • Practical Examples by Area
  • Tips for Making the Most of Sabiá-3
  • Conclusion

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  1. Text Models

Sabiá-3

AnteriorMistralPróximoDALL·E 3

Atualizado há 3 meses

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TL;DR (Quick Summary) Sabiá-3 is an AI model specialized in Brazilian Portuguese, developed by Maritaca AI to tackle complex real-world tasks—ranging from legal analysis to exam preparation! On Adapta One, it becomes a strategic tool for companies needing precise and cost-effective solutions in areas like education, healthcare, or compliance.


What is Sabiá-3?

Imagine a virtual expert who not only masters the Portuguese language but also understands the cultural, legal, and academic nuances of Brazil! That's Sabiá-3: a model trained on Brazilian data (such as laws, Enade exams, and sociocultural discussions), capable of processing long texts (even entire books) and providing contextualized responses at up to 4x lower cost than global models like GPT-4 or Llama 3.1. On Adapta One, it gains extra capabilities: even non-technical users can utilize it to analyze local documents (PDFs, spreadsheets) or cross-reference internal company data with national benchmarks.

Key Features:

  • Brazilian Specialist: Understands everything from labor laws to ENEM exam topics—like having a consultant educated at Brazil’s top universities!

  • Expanded Context: Analyzes texts up to 32,000 tokens (equivalent to 80 pages) without missing critical details.

  • Cost-Efficiency: Token cost up to 70% lower than competing models—ideal for startups or public agencies with limited budgets.

  • Exam Accuracy: Achieves 80% accuracy in Brazilian-specific exams like OAB, CPNU, and Revalida, outperforming even GPT-4 in certain topics.



Strengths and Weaknesses of Sabiá-3

Strengths

  • Responses aligned with Brazilian reality (laws, culture, education).

  • Ideal for technical documents in Portuguese (contracts, public notices).

  • Low operational cost compared to international models.

Weaknesses

  • Lower performance in creative tasks (e.g., writing poetry).

  • Limitation in foreign languages (prioritizes Portuguese).


How Adapta One Enhances Sabiá-3

Adapta One amplifies the capabilities of Sabiá-3 through:

  • File Interpreter: Send bidding documents, spreadsheets with tax data, or academic research for customized analyses. Example: “Compare these metrics with national industry averages.”

  • Multimodal Integration: Combine Sabiá-3 responses with visualizations via DALL-E/Imagen. Example: Automatically transform public exam results into infographics.

  • Automatic Prompt Generator: Optimizes instructions to achieve better results from Sabiá-3.

  • Data Integration: Connects with company data sources for more context-specific responses to the Brazilian scenario.


Practical Examples by Area

Education & Exams Prompt: “Simulate 10 essay questions on Administrative Law in the style of the OAB exam.” Response: Personalized list + automatic feedback using official examiner criteria.

Legal & Compliance Prompt: “Analyze this PDF employment contract and highlight clauses that violate the 2024 labor reform.” Response: Risk detection + references to the corresponding articles of the CLT.

Public Health Prompt: “Summarize the SUS guidelines for treating childhood cancer according to federal decrees from the last 5 years.” Response: Structured summary with links to current legislation.

Public Sector Prompt: “Cross-reference data from this CSV on educational funds with goals from the PNE (National Education Plan).” Response: Report with identified gaps + suggestions based on similar successful cases.

Human Resources Prompt: “Create a manual against workplace harassment following ISO 45001 standards and Brazilian case law.” Response: Ready-to-implement document + compliance checklist.


Tips for Making the Most of Sabiá-3

  • Use the "Contextual Analysis" Feature: Add reference documents (e.g., a recent exam announcement) before asking questions – Sabiá-3 will adjust responses to your specific context! Example: Upload the ENEM 2024 announcement and ask, “Which topics have the most weight in this edition?”

  • Combine with Other Models: After receiving a legal analysis from Sabiá-3, use GPT-4 Vision to turn the recommendations into professional slides.

  • Leverage Brazilian Specialization: Use Sabiá-3 for tasks that require in-depth knowledge of the Brazilian context, such as public policy analysis or local legislation interpretation.

  • Explore Long Text Processing: Take advantage of Sabiá-3’s ability to analyze extensive documents for contract reviews or government report analysis.

  • Use for Exam Preparation: Create personalized mock exams and get detailed feedback based on the criteria of Brazilian examining boards.


Conclusion

Sabiá-3 is not just an AI – it’s a strategic partner for those who need to navigate the bureaucratic, cultural, and technical complexities of Brazil! On Adapta One, you simplify its use through our intuitive platform, integrating it with multimodal tools without the need for coding. Try Sabiá-3 on Adapta One and discover how it can transform your approach to Brazil-specific challenges, providing precise insights and customized solutions with efficiency and cost-effectiveness!

Comparison with Other Models in Adapta One

​
Model
Context Windows
Score
General Knowledge
Scientific and academic knowledge
Math
Coding
Speed
Cut-off date

GPT-4o

128k

78

89%

51%

80%

93%

166.4

October/2023

o3-mini

200k

89

86%

75%

Em testes

97%

61.2

October/2023

Claude 3.5 Sonnet

200k

80

89%

59%

77%

94%

96.1

June/2022

DeepSeek V3

128k

79

87%

53%

86%

91%

70.4

October/2023

DeepSeek R1

128k

89

91%

70%

97%

98%

194.5

October/2023

Gemini 1.5 Pro

2m

80

86%

59%

87%

88%

71.3

January/2024*

Llama 3.1

128k

74

87%

51%

70%

87%

88.3

October/2023*

Mistral Large 2

128k

74

85%

48%

73%

90%

44.1

October/2023*

Grok Beta

128k

72

85%

43%

73%

87%

31.8

October/2023*

Perplexity

100k

75*

85%*

50%*

75%*

85%*

50.0*

October/2023*

Sabiá-3

128k

70*

80%*

45%*

70%*

80%*

40.0*

October/2023*