π‘ Creating AI Twitter Bots that respond to tweets is a popular use case.
π§ We can easily build our own Twitter bot using a language model.
β οΈ It's important to use this power responsibly and find a meaningful use case.
π€ Creating a function to pass an llm and the mentioned parent tweet text
π¬ Adjusting the tone and role of the AI to give concise predictions
π‘ Emphasizing the importance of active voice and opinionated tone in AI responses
π€ Creating an AI Twitter bot using LLMs.
π Summary of key points from the video's transcription.
π¦ Important steps in building the bot and using Twitter API.
π€ Using Airtable and a single API key, you can easily create your own AI Twitter bot.
π The Twitter bot utilizes various shared services, including the Twitter API, the Airtable API, and a language model (GPT-4).
π¬ The bot has two important functions: generating responses based on a prompt and responding to mentions by generating appropriate tweets.
π To avoid duplicates, the bot checks if it has already responded to a mention before generating a reply.
π Different methods can be used to schedule the bot's job, with the author using Python's schedule library in their example.
β° You can schedule your AI Twitter bot to perform a job every five minutes.
π¦ To deploy your bot on Railway, you need to push your code to a GitHub repo and add environment variables.
π§ Railway provides automatic deployment and allows you to customize the build process for your bot.
βοΈ The process of building and deploying an AI Twitter bot using LLMs.
π The successful completion of the bot's deployment and the start of its job.
π The bot's execution and completion of the job without finding any mentions to reply to.
π€ The video demonstrates how to build an AI Twitter bot using LLMs.
π‘ The bot receives a conversation tweet, generates a response using a language model, and replies to the tweet.
π The speaker showcases the process of deploying and updating the bot using Git and Railway.
π€ Creating an AI Twitter bot using LLMs is easy and can be done by passing a tweet through a prompt template.
π‘ There are several possibilities for enhancing the bot, such as using vector storage, question answering, or summarizing lengthy tweet threads.
π The speaker is curious to see different tweet bots and offers to provide support and promotion for their work.
Cara Menghitung Chi Square (Kai Kuadrat) secara Manual
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