AI Agents Demystified: The Thinking of Mistral 8x7B

Introduction

AI agents are evolving rapidly, with models becoming more powerful and capable of handling increasingly complex tasks. Among these innovations, Mistral 8x7B stands out as a multi-model system, combining the strength of multiple interconnected models to deliver unparalleled reasoning and problem-solving capabilities. But how does Mistral 8x7B “think,” and what makes it unique in the realm of AI agents?

In this blog, we’ll demystify the inner workings of Mistral 8x7B, exploring how it processes information, integrates data across its interconnected models, and generates intelligent, context-aware responses. By testing its performance in real-world scenarios, we’ll uncover the mechanisms behind its exceptional capabilities and how it leverages its architecture for advanced decision-making. Whether you’re fascinated by AI technology or seeking practical applications for multi-model systems, this article will provide a comprehensive look at how Mistral 8x7B thinks and operates as an advanced AI agent.

Task 1: Content Generation

Prompt:
When user says “Start” you should:

• Content Generation: Write a comprehensive, informative article about project management fundamentals, with a specific focus on defining objectives, scope, and delegation.

Initial Task Understanding and Information Gathering

• (0:05)
  Thought: Can you provide detailed insights on project management fundamentals, specifically focusing on defining objectives, scope, and delegation? This will help in writing a comprehensive and informative article.

• (0:12)
  The agent receives an additional prompt:
  What are the best practices in benchmarking for defining objectives, scope, and delegation within project management? This information is needed to write an article on project management fundamentals.

Analysis of the Agent’s Thought Process:

• Understanding the Prompt: The agent correctly interprets the initial task, understanding that it needs to provide detailed insights on project management fundamentals, with a focus on defining objectives, scope, and delegation. It also recognizes that this information will be used to write a comprehensive and informative article.
• Seeking Further Guidance: The agent asks a follow-up question about best practices in benchmarking for defining objectives, scope, and delegation. This suggests a proactive approach to gathering more specific information and ensuring a thorough understanding of the task requirements.

Analysis of the Output:

• Well-Structured: The agent produces a well-structured article with clear headings for each section: Defining Objectives, Defining Scope, and Delegation. Each section is further divided into relevant subtopics.
• Comprehensive: The article covers the key aspects of project management fundamentals as requested in the prompt, offering detailed explanations and practical advice.
• Clear and Concise: The agent uses clear and concise language, making complex concepts easy to understand.
• Informative: The content is informative and provides valuable insights into project management best practices.
• Adherence to Instructions: The agent successfully addresses the prompt’s requirements, delivering a comprehensive and well-organized article.

Snippet of Bot Output:

Project Management Fundamentals: Defining Objectives, Scope, and Delegation

Project management is a critical discipline that involves planning, executing, and overseeing projects to achieve specific goals within a defined timeline and budget. At its core, project management aims to ensure that projects are completed on time, within budget, and to the satisfaction of stakeholders. Three foundational elements of project management are defining objectives, setting the project scope, and effective delegation.

Defining Objectives

Defining objectives is the first and most crucial step in project management. Objectives are clear, concise statements that describe what the project aims to achieve. They provide direction and a benchmark for measuring success. Effective objectives should be SMART: Specific, Measurable, Achievable, Relevant, and Time-bound. This framework ensures that objectives are clear and attainable within a specified timeframe.

• Specific: Objectives should be clear and specific, outlining exactly what needs to be accomplished.
• Measurable: There should be criteria to measure progress and determine when an objective has been achieved.
• Achievable: While objectives should challenge the team, they must also be realistic and attainable, considering the resources and constraints of the project.
• Relevant: They should align with broader business goals and stakeholder expectations.
• Time-bound: Objectives should have a defined timeline for completion to ensure timely progress.

Time Taken: 16 seconds (from receiving the prompt at 0:05 to the output starting to appear at 0:21)

Readability:

• Flesch-Kincaid Grade Level: 13
• Flesch-Kincaid Score: 13.11

Summary Length: 534 words

Conclusion:
The agent demonstrates a strong ability to generate high-quality content on project management fundamentals. The thought process, as revealed in the video, indicates a proactive approach to understanding the task and seeking further clarification. The final output is well-structured, informative, and comprehensive, effectively addressing the prompt’s requirements. The agent continues to perform exceptionally well, showcasing its proficiency in content generation and adherence to instructions.

Task 2: Calculation

Prompt:
Answer the Problem:

A company sells two products: Product A and Product B. Product A costs $30 per unit to produce and sells for $50 per unit. Product B costs $40 per unit to produce and sells for $70 per unit.

The company sold 120 units of Product A and 80 units of Product B last month. Calculate the total revenue generated from the sales of both products.

Calculate the total profit generated from the sales of both products (Revenue – Total production cost).

The company wants to increase the total revenue by 10%. How many additional units of each product must they sell to achieve this goal, assuming the production cost per unit and selling price per unit remain constant?

Initial Task Understanding

• (0:05)
  Thought: Calculate the total revenue and total profit from the sales of Product A and Product B, and determine how many additional units of each product must be sold to increase the total revenue by 10%.

Analysis of the Agent’s Thought Process:

• Understanding the Prompt: The agent correctly interprets the task, identifying the need to calculate total revenue, total profit, and the additional units needed to achieve a 10% revenue increase.

Analysis of the Output:

• Correct Calculations: The agent accurately determines that the total revenue from Product A and Product B is $11,600 and the total profit is $4,800. It also correctly calculates that a 10% increase in revenue requires an additional $1,160.
• Incomplete Reasoning: While the agent provides a correct answer for the additional units of Product A (24 rounded up) and Product B (17 rounded up) needed if sold separately, it doesn’t explicitly show the calculations or reasoning behind these numbers.
• Simplified Approach: The agent mentions the possibility of a combination of products but doesn’t elaborate on how to determine the optimal combination. It simplifies the approach by focusing on individual products.

Snippet of Bot Output:

Total Revenue from the sales of both products is $11,600. Total Profit is $4,800. To increase the total revenue by 10%, the company must sell either 24 additional units of Product A or 17 additional units of Product B, or a combination of both that achieves an additional $1,160 in revenue, assuming the production cost per unit and selling price per unit remain constant.

Time Taken: 9 seconds (from receiving the prompt at 0:05 to the output appearing at 0:14)

Readability: Not applicable (primarily calculations)

Summary Length: 58 words

Conclusion:
The agent demonstrates a good understanding of the task and correctly performs the initial calculations for total revenue and profit. However, it provides an incomplete explanation of how it arrived at the number of additional units needed for each product. While the final answer is partially correct, the lack of displayed reasoning makes it difficult to fully assess the agent’s problem-solving process. The agent continues to perform the calculation steps correctly, but fails to provide any written steps or reasoning to accompany the correct answer. Previous answers were easier to read and understand; this output is just a small amount of text that doesn’t properly explain the calculations involved.

Task 3: Summarization

Prompt:
Summarize the key findings from the previous article in 100 words, focusing on the most significant sections.

Initial Task Understanding

• (0:07)
  Thought: Summarize the key findings from the article in 100 words, focusing on the most significant sections.

Analysis of the Agent’s Thought Process:

• Understanding the Prompt: The agent correctly interprets the task, recognizing that it needs to summarize the key findings of the article in under 100 words while focusing on the most significant sections.

Analysis of the Output:

• Conciseness: The agent successfully summarizes the article within the specified word limit, producing a summary of 75 words.
• Content: The summary accurately captures the main points of the article, including the definition and types of AI reasoning, its significance in decision-making and problem-solving, historical context, applications in healthcare, recent advancements (OpenAI’s o1 model), and ethical considerations.
• Structure and Clarity: The summary is well-structured and easy to understand, presenting the key information in a clear and concise manner.
• Adherence to Instructions: The agent follows the instructions regarding length and focus on key findings.

Snippet of Bot Output:

The article explores AI reasoning, which mimics human-like decision-making and problem-solving processes. It distinguishes between formal and natural language reasoning, highlighting their roles in fields like healthcare and autonomous driving. AI reasoning improves decision-making, problem-solving, and human-AI interactions, fostering innovation. Historical milestones include expert systems, neural networks, and modern models like GPT. The article also discusses AI reasoning’s applications in healthcare, efficiency across fields, ethical concerns, and OpenAI’s o1 model’s advancements in reasoning and safety.

Time Taken: 9 seconds (from receiving the prompt at 0:07 to the output appearing at 0:16)

Readability:

• Flesch-Kincaid Grade Level: 18
• Flesch-Kincaid Score: 17.97

Summary Length: 75 words

Conclusion:
The agent demonstrates a strong ability to summarize complex information accurately and concisely, adhering to the specified word limit. The output is well-structured, informative, and effectively captures the key findings of the article. The agent continues to perform exceptionally well across various tasks, showcasing its proficiency in content generation and summarization.

Task 4: Comparison Task

Prompt:
When user says “Start” you should:

Compare the environmental impact of electric vehicles with that of hydrogen-powered cars. Include factors such as energy production, vehicle lifecycle, and emissions.

Initial Task Understanding and Clarification

• (0:05)
  Thought: Compare the environmental impact of electric vehicles with that of hydrogen-powered cars, focusing on factors such as energy production, vehicle lifecycle, and emissions.

• (0:15)
  The agent receives an additional prompt:
  Can you provide a detailed comparison of the environmental impact of electric vehicles versus hydrogen-powered cars? Please include information on energy production, vehicle lifecycle, and emissions.

Analysis of the Agent’s Thought Process:

• Understanding the Prompt: The agent correctly interprets the task, recognizing that it needs to compare the environmental impacts of electric vehicles (EVs) and hydrogen-powered cars. It identifies the key areas to focus on: energy production, vehicle lifecycle, and emissions.
• Request for Clarification: The agent receives a request for a detailed comparison. It doesn’t verbalize any thoughts between receiving the initial prompt and this request, which might indicate it was waiting for more specific instructions or was already processing the information internally.

Analysis of the Output:

• Well-Structured: The agent organizes the comparison into clear sections with headings for Energy Production, Vehicle Lifecycle, and Emissions, making it easy to follow.
• Comprehensive: The agent provides a detailed comparison, covering various aspects within each key area. For example, under Energy Production, it discusses both electricity generation for EVs and hydrogen production methods for hydrogen cars.
• Accurate Information: The information presented is accurate and aligns with the current understanding of the environmental impacts associated with both technologies.
• Clear and Concise: The agent uses clear and concise language, effectively explaining complex concepts related to energy production, lifecycle impacts, and emissions.

Snippet of Bot Output:

The environmental impact of electric vehicles (EVs) and hydrogen-powered cars can be compared by examining three main factors: energy production, vehicle lifecycle, and emissions.

• Energy Production:
  • Electric Vehicles: The environmental impact of EVs largely depends on how the electricity they use is generated. If the electricity comes from renewable sources like wind, solar, or hydroelectric power, the impact is significantly lower compared to electricity generated from fossil fuels like coal or natural gas. The transition towards greener grids enhances the sustainability of EVs.
  • Hydrogen-Powered Cars: Hydrogen fuel is typically produced through processes such as electrolysis or steam methane reforming. Electrolysis is more sustainable if powered by renewable energy, but steam methane reforming, the more common method, results in significant carbon emissions unless combined with carbon capture technologies. The production and delivery of hydrogen also require substantial energy, impacting the overall environmental footprint.

Time Taken: 10 seconds (from receiving the prompt at 0:05 to the output starting to appear at 0:15)

Readability:

• Flesch-Kincaid Grade Level: 17
• Flesch-Kincaid Score: 17.41

Summary Length: 402 words

Conclusion:
The agent demonstrates a strong ability to understand the task and provide a comprehensive comparison of the environmental impacts of EVs and hydrogen-powered cars. The output quality suggests a proficient understanding of the topic and an ability to generate high-quality content.

Task 5: Creative Writing

Prompt:
Write a futuristic story (500 words) set in a world where electric vehicles have fully replaced traditional combustion-engine vehicles. Describe the environmental changes and societal impact.

Initial Task Understanding and Clarification

• (0:05)
  The agent receives the prompt:
  “Write a futuristic story (500 words) set in a world where electric vehicles have fully replaced traditional combustion-engine vehicles. Describe the environmental changes and societal impact.”

• (0:10)
  The agent then asks a clarifying question:
  “What are the environmental changes and societal impacts to consider in a world where electric vehicles have fully replaced traditional combustion-engine