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Скачать или смотреть Auto-GPT Setup on Azure VM + Real Life Example

  • Usman Ur Rehman Ahmed
  • 2023-04-16
  • 671
Auto-GPT Setup on Azure VM + Real Life Example
Artificial IntelligenceMachine LearningNatural Language ProcessingDeep LearningText GenerationAI WritingContent GenerationAutomated WritingLanguage GenerationChatbotAI TextData ScienceNeural NetworksGenerative ModelsComputational LinguisticsAutomated ContentNLP ModelsLanguage ModelsText AnalysisCreative Writing AIAutomated TextTextual AIGPT-3Creative AIContent CreationTextual GenerationAI ContentAI Text Generation
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Описание к видео Auto-GPT Setup on Azure VM + Real Life Example

There is a new sheriff in town, Auto-GPT! Auto-GPT is the next big thing in the AI space, a complimentary, open-source Python program that utilizes OpenAI's GPT-4 technology. Auto-GPT operates independently, signifying that it can produce original thoughts and recommendations in response to human-provided cues. A step closer to Artificial General Intelligence (AGI).

This is a step-by-step guide on how to set up Auto-GPT on a Windows machine. I also demonstrate setting up OpenAI, Pinecone & Eleven Labs key, and voice assistant id for voice assistance. I also specify how to set up the OpenAI usage limit to ensure your credit card doesn’t get charged beyond a certain limit. This is because Auto-GP allows continuous execution (--continuous) and given the OpenAI LLM model is pretty expensive, it can drain your credit pretty quickly.

After setup, I demonstrate the execution of a Goal by asking AutoGPT to compare features of Sitecore with Sitefinity and save the results for later reference. Both Sitecore & Sitefinity are Content Management Systems (CMS). During the execution of this goal, the program performs a Google search, visits the listed websites in the web browser, retrieves results much like Robotic process automation (RPA), and does so in a meaningful way while seeking authorization at each step of the process (note that you can also execute it without authorization using y -N). It then saves the file with the initial findings and opens and re-reads the file. After extracting enough content, it delegates the tasks to the GPT agent to summarize the results for us. Once Auto-GPT narrates the findings, the program finally stores the final results for later usage.

The demonstrated use case is for educational purposes only and the accurate results may vary but this is the beginning of something really powerful and in the days to come, we shall witness a lot of advancements in such AI tools that will function on autopilot and increase productivity.

Links:
AutoGPT: https://github.com/Significant-Gravit...
OpenAI Billing Limits: https://platform.openai.com/account/b...
OpenAI Usage: https://platform.openai.com/account/u...
ElevenLabs API Documentation: https://api.elevenlabs.io/docs
PineCone API Keys: https://app.pinecone.io/organizations/

#autogpt #ai #chatgpt4 #automation #technology #python

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