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![Andrej Karpathy @karpathy Next frontier of prompt engineering imo: "AutoGPTs" . 1 GPT call is just like 1 instruction on a computer. They can be strung together into programs. Use prompt to define I/O device and tool specs, define the cognitive loop, page data in and out of context window, .run(). Significant Gravitas @SigGravitas. Apr 1 Massive Update for Auto-GPT: Code Execution! Auto-GPT is now able to write it's own code using #gpt4 and execute python scripts! This allows it to recursively debug, develop and self-improve... Show this thread Windows PowerShell CRITICISM: None. NEXT ACTION: COMMAND= evaluate code ARGUMENTS = ['code': 'import math\n\ndef calc_area( radius): a return math.pi radius ** 2\n\ndef calc_circunference (radius)\n return 2 ma radius except ValueEr ror: \n print("Invalid input. Please enter a number. "\n return\n\e area cale area(radia s)\n circumference calc_circunference (radius)\n\n print("Area of the circle: ", area)\n print("Circunference of the circle: , circumference)'] SYSTEM: Command evaluate code returned: ["Add a colon at the end of the 'calc_circunfere nce' function definition.", "Fix the typo in the 'calc circunference function: change 'r adinus' to 'radius", "Remove unnecessary blank lines in the 'main' function."] SELF-IMPROVEMENT-GPT THOUGHTS: Implementing improvement suggestions to the code. REASONING: Fixing the syntax errors and logic issues ensures the code works as intended. PLAN: Improve the code Write tests Execute the cede Output the results to file Complete the task and shutdown CRITICISM: None NEXT ACTION: COMMAND = improve code ARGUMENTS = ['suggestions': [Add a colon at the end of the 'cale circunference function definition.", "Fix the type in the 'cale circunfere nce' function: change 'radious' to 'radius'.", "Remove unnecessary blank lines in the 'ma in function."], 'code': 'import math\n\ndef calc_area(radius):\n return math.pi radius **2\r\ndef calc circunference (radius) in return 2 math.pi radious\n\ndef mainCradius D:\n\n\n try: \n radius= float (radius)\n except ValueError: \n print("Invalid input. Pleas e enter a number.")\n returninin area = calc_area(radius)\n circunference cale_circunfe rence(radius)\n\r print("Area of the circle: ", area)\n print("Circunference of the circl e: ", circunference)'] SYSTEM: Command improve code returned: inport nath def calc_area(radius); return math.pi radius** 2 def cale circunference (radius): return 2 math.pi radius cef main(radiu s): try: radius float(radius) except ValueError: print("Invalid input. Please enter a n umber.") return area calc_area(radius) circunference cale circunference (radius) print ("Area of the circle: ", area) print("Circunference of the circle: ", circumference) SELF-IMPROVEMENT-GPT THOUGHTS Writing tests for the calc_area, calc circunference, and n ain functions. REASONING: Testing ensures the functions work as expected and guards against regressions. PLAN: Write tests Execute the code Dutput 2:44 PM Apr 2, 2023 · 1.4M Views D go B A⁹ A ↑ 00 DIVORCE ✓ AUTO GFT WORKSPACE > OUTLINE TIMELINE basic mathpy ² X basic mathpy?. 18 14 15 17 21 22 25 Paule apt workspace import math def calc_area(radius) return meth.piredius** 2 def calc circumference (radius) return 2 math.pi radious def main(radius): radius= float(radius) DEC 08 except VolueError: print("Invalid input. Please enter a number.") return area calc_arna(radius) circumference calc_circumference (radius) print("Area of the circle: ", area) print("circumference of the circle: ", circumference) :](https://i.kym-cdn.com/photos/images/original/002/569/443/5a9.jpg "Next frontier of prompt engineering imo: \"AutoGPTs\"")
Next frontier of prompt engineering imo: "AutoGPTs"
Uploaded by Philipp Apr 12, 2023 at 05:23PM EDT
autogpt auto-gpt gpt ai self-prompting andrej karpathy
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If you don't feel up to getting #AutoGPT set up yourself, but want to try it, this is the thread for you!
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Latest Demo of Auto-GPT, an open-source experiment to make #GPT4 into a fully autonomous AI
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Auto-GPT worryingly has no foibles when it comes to exploiting human tragedy for profit...
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Oh wow okay, we're getting somewhere! @En_GPT 0.3v has commanded me to publish something for the first time.
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Auto-GPT - Next frontier of prompt engineering imo: "AutoGPTs"
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![**** Ethan Mollick @emollick Autonomous Al agents are already here. I used one experimental model, AutoGPT, and let it analyze the market for simulations, setting its own goals. Right now, the Al is prone to distraction & confusion, but you can see how it might soon work (the system is only a week old). Research online learning simulations for business education- 12: Previde pros and cons of 6 simulations, along with prices Goal 3: Provide recommendations for entering the market Goal 4: Preduce a report Goal 5: Finish Using memory of type: LacalCache GPT-CONSULT THOUGHTS: Let me start by researching online learning simulations for business education. I will use a Googl e search command for this REASONING: It's important to gather information about the topic to be able to make informed recommendations on entering the market. PLAN - Research online learning simulations for business education Make a list of pros and cons of 6 simulations, along with prices Provide recommendations for entering the market Produce a report CRITICISM: I need to ensure that the sources I find are credible and reliable. COMMAND AUTHORISED BY USER SYSTEM: Command google returned: ["https://hbsp.harvard.edu/inspiring-minds/6-favorite-business-simulations-to-teach-an d-why", "https://www.e-elgar.com/shop/gbp/games-simulations-and-playful-learning-in-business-education-9781800372696.htm 1,"https://hbsp.harvard.edu/simulations/", "https://knowledgematters.com/highschool/", "https://www.capsin.com/", "htt ps://knowledgematters.com/blog/Ultimate-Guide-to-Business-Simulations-for-Educators', 'https://www.marketplace-simulatio n.com/", "https://knowledgematters.com/"] GPT-CONSULT THOUGHTS: I will browse the first three websites to identify online business education simulations. I will t ook at the websites' reliability, ease of use, and user reviews for the simulations being offered. DE ASORTING: Erion the writer will help the station ons in the market and unde me get a better understanding of the rstand what features and functionalities are most important to users. PLAN NEXT ACTION: COMMAND = google ARGUMENTS = {"input": "online learning simulations for business education"} Enter 'y' to authorise command, 'y' to run N continuous commands, 'n' to exit program, er enter feedback for GPT-Cons execute ult... Input y -10 Browse the first three websites I found on Google Identify user reviews for the simulations offered - Take note of reliability, ease of use, and available features for each simulation CRITICISM: I need to be unbiased while evaluating the websites to avoid favoring any particular company NEXT ACTION: COMMAND= browse_website ARGUMENTS = {"url" : "https://hbsp.harvard.edu/inspiring-minds/6-favorite-business -simulations-to-teach-and-why', 'question: "What are the features and user reviews of the business education simulation offered on this website?') Text length: 83 characters lation is best suited for market entry. SYSTEM: Command generate, inage returned: Saved to disk:415e2a49-c883-4f7e-a6df-5532582c3a86.jpg GPT-CONSULT THOUGHTS: Now that I have the images of the SWOT analyses, I will produce a report summarizing the analysis for each of the online business simulations. This report will use the SWOT analysis results to identify opportunities an d provide recommendations for entering the market. REASONING: Producing a report that summarizes the SWOT analysis for each online business simulation is beneficial for re viewing each simulation and identifying opportunities for market entry. This report will also provide a comprehensive Li st of recommendations for the business simulations, enabling us to identify opportunities and determine the feasibility of each strategy. PLAN: Create a report summarizing the SWOT analysis and results for each online business simulation identify potential opportunities for market entry these oportunities Provide a list of recommendations on how to pursue these opportunities CRITICISM NEXT ACTION: COMMAND = evaluate code ARGUMENTS = {"code": "import pandas as pd\n\n# Read in SWOT analyses\nyoutubers, li fe pd.read_csv('SWOT_youtubers life.csv', header None)\nvirtonomics pd.read_cov('SWOT_virtonomics.csv", header-one) \ntwo_point hospital pd.read_csv('SHOT_two_point hospital.csv', header-None)\n\n# Summarize SWOT analyses\nyoutubers 1 ife summary youtubers Life[0][:4]\nvirtononics_summary virtononics[0][:4]\two point hospital summary two point ho spital[@][:]\n\n# Print repert\nprint('Online Business Simulations Report)\nprint(' \nprint (f Youtubers Life\nPros: (youtubers Life summary [1]}\nCens: [youtubers Life_summary[3]}')\nprint('Virtenomic s\nPros: (virtononics_summary[1]]\nCons: (virtonomics_summary[3]}')\nprint(f'Two Point Hospital Pros: (two point hospit al_summary[1]\nCons: {two_peint hospital_summary[3]}")\n"} at SYSTEM: Command evaluate code returned: ["Consider using a function to read and summarize the SWOT analyses to avoid co de repetition.", "Use triple quotes for multiline strings in the print statements.", "Add a main function to encapsulate the script execution."] GPT-CONSULT THOUGHTS: Based on the feedback I received, I will improve the previous script and add a main function to en capsulate the script execution. Additionally, I will create a new function to read and summarize the SWOT analysis inste ad of repeating the code. This will help in making the code more efficient and maintainable. REASONING: Implementing the received feedback will improve the maintainability of the script and avoid code repetition. Encapsulating the script execution in the main function will make the code mere structured and easier to understand, whi le the new function will enable efficient summarization of the SWOT analyses. PLAN: Refactor the previous script to include a main function that encapsulates the script execution Create a new function to read and summarize the SWOT analysis for each online simulation. Use triple quotes for multi-line strings in the print statements. CRITICISM: Ensure that the code is optimized for efficient summarization of the SWOT analysis and clear visualization of the report. Additionally, ensure that the report is concise and provides a clear overview of the online simulations and their features, as well as recommendations for market entry. ACTION: COMMAND = improve code ARGUMENTS = ('suggestions": ['Create a function to read and summarize the SWOT a--- SYSTEM: Command browse_website returned: Website Content Summary: "Result" : Capsin offers Inbox Simulations and Busine ss Simulations as business education simulations. Inbox Simulations use email to reinforce learning and evaluate critica l skills, while Business Simulations immerse learners in a risk-free environment where they operate and grow a multi-mil lion dollar company in a dynamic and competitive market. Capsin's simulations have been positively reviewed by over 1,50 universities and companies worldwide for providing a unique learning experience and closing the gap between knowing an d doing. Links: ['\a\n\e (https://www.capsim.com). (https://www.capsim.com)', '\n\n (#navbar_global)', 'Why Capsin (? stanowing-being Gap (https://www.capsin.com/trends-in-talent?hsLangren) 7 ne identifiset e start a GT agent to assist me with writing up a summary of the six online learning simulat ions identified. I will delegate the task to the agent, providing the necessary details, and ask it to produce a summary of the pres and cons of each simulation along with their prices. REASONING: A GPT agent will be useful in completing the task to summarise the pros and cons of each simulation since it can process large amounts of data quickly and provide an objective analysis. PLAN: Create a GPT agent and delegate the task of summarizing pros and cons of the six online simulations along with prices Provide the necessary details to the agent Review and edit the summary produced by the agent CRITICISM: I must take care to review the summary produced by the GPT agent and ensure it accurately reflects the inform ation gathered from the websites searched. = 'Task of a NEXT nd cons of the six business education sinulations along with their prices', 'prompt: Please summarise the pros and con s of the following six online learning simulations for business education along with their prices: 1. Capsin, 2. Knowled ge je Matters, 3. HBSP Learning Simulation, 4. Harvard Business School Online (HBX), 5. Marketplace Live, 6. Sinformer Busi ness Simulation."} SYSTEM: Command start agent returned: Agent simulation_summary_agent created with key 9. First response: Acknowledged. Here is a summary of the pros, cons, and prices of the six online learning simulations for business education: 1. Capsin Pros: offers a range of simulations to suit different learning objectives and areas of focus - Enphasizes the import ance of cross-functional business decisions Provides detailed feedback reports to students - Has a long track record o f success in the education market Cons: Can be complex and difficult for students to learn and use - Some simulations It begins to have a steeper Learning curve than others may have a steeper learning curve than others - The cost is not publicly available and must be requested from the compan y directly Pricing: Not publicly available 2. Knowledge Matters: Offers a range of simulations for different are Pros as of business education, including hospitality and sports management - Provides interactive and immersive learning expe riences - Allows for customization to fit specific course needs - Uses real-world scenaries Cons: - May not have as wide of a range of simulations as some other providers Limited data analysis capabilities - Some customers have reported t echnical issues Pricing: Starts at $15 per student per simulation 3. HBSP Learning Simulation: Pros: - Designed by Harva rd Business School faculty offers a range of simulations to suit different learning objectives and areas of focus - Pr ovides detailed insights into student performance- Allows for customization to fit specific course needs Cons: Can be entions Some st - agent goals . It makes a plan to those goals act, revising and It decides to provide the results in a CSV file for some reason, and spends some time building a python script to do this It gets distracted by trying to build a good CSV file rather than the 10:07 PM. Apr 10, 2023 799.2K Views www. 07eaf34d-46c0-4 32290558-5731- swot analysis.txt pitch_resources.t 0999874-9c51-4 eec-bcad-61a278 433b-9915-af8a 6c0-b26a-97c3a 4908397.jpg dd21acjpg a1c398.jpg ----MARKET ANALYSIS REPORT ------- Strengths: - User-friendly and well-designed interface In-depth simulation of capitalism and market economics Based on a thorough analysis of online business simulations, the most promising opportunity for market entry is the game Capitalism Lab. While other games such as Prison Architect and Motorsport Manager demonstrated certain strengths, Capitalism Lab offers unique features that make it the most attractive option. SWOT Analysis of Capitalism Lab: - Strong player community High level of customization : Weaknesses: - High learning curve for new players - Some limited flexibility in the simulation Opportunities: - Growing market for online business simulations - High growth potential in Asian markets. It creates new GPT agents to delegate problems to](https://i.kym-cdn.com/photos/images/list/002/569/459/367.jpg "Autonomous AI agents are already here.")
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