๐ The customer service industry, valued over $10B, is ripe for AI-driven transformation. With @LangChainAI and @awscloud, automate your customer support with a few lines of code. Let's dive in! #AI#CustomerService
Our AI-agent acts as an automated customer support rep, intercepting emails sent by users. It understands the user's issue, gathers necessary information, and crafts a comprehensive response. The result? A seamless interaction, quick resolution, and improved customer experience.
@LangChainAI is a powerful library for AI-powered applications. Our customer support system revolves around its robust features, which simplify the development process. Check out how it powers our AI-agent.
With @LangChainAI, we've constructed an AI-agent that utilizes GPT-3.5 LM. It generates insightful email responses based on customer queries, with web browsing capabilities for information gathering. This is the core of our AI-powered customer support. js.langchain.com/docs/modules/aโฆ
We're continually exploring ways to enhance our AI-agent. Potential future integrations include task management tools like @Jira, enabling better workflow coordination. Or adding human into the loop for handling complex cases. js.langchain.com/docs/modules/aโฆ
@awscloud's CDK is our backbone, making building and deploying our infrastructure a cinch. Here's a look at our setup, from Lambda functions to SES rules. #AWS#CloudComputing#WebDevelopment
Coupling @LangChainAI's AI prowess with @awscloud's robust infrastructure, we've created a system that revolutionizes customer support. And you can too!
And that's a wrap!
If you're looking to leverage AI for your customer service, @LangChainAI and @awscloud are your dream team.
Stay tuned for the full project source code release tomorrow.
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Did you know that the fusion of AI agents and Bitcoin has the potential to revolutionize our world? ๐ Let's take a deeper dive into this fascinating confluence of technology. ๐๐๐ฝ
AI agents are programmable entities interacting with their environments to achieve set goals. They can adapt to new situations and perform a variety of tasks, from debugging code to making API calls for purchasing data or real-world resources. ๐ค๐ป
But how do these AI agents pay for resources? With an innovative protocol called L402, AI agents can now leverage Bitcoin - internet's native currency - to pay for web content access directly. A digital wallet for your digital assistant, if you will.๐ฐ๐
๐ค Ever wished you could teach an AI to mimic website designs you love? Here's how we can make it possible with the @LangChainAI library and a dash of GPT magic.โจ Learn how to build your own AI agent that loves to plagiarize. ๐
๐ป The core of our project is a simple NodeJS and TypeScript app. We create a prompt specifying the site we want our AI to learn styles from. And provide the Style Tool available to use for this task.
๐ฌ How does the Style Tool work? Our secret sauce is the JSDOM library. It helps us render the page headlessly and parse through elements like a pro. Here is a video explaining the details. The final webpage is inspired by the styles of @itsPaulAi's answera.ai.
๐งต1/8 Here is how to build a pipeline that automates the process of creating, researching, improving & finalizing an article on any topic. I used #langchain & @OpenAI, Google Search and Google News API! Let's dive in!๐
๐งต2/8 The pipeline starts by loading news articles on a chosen topic. In our example it is "Canada budget". It then creates a summary of these articles, which will be used as the basis for our first draft.
๐งต3/8 The first draft is generated by using custom author and question chains in a sequential manner. The author chain creates a coherent narrative, while the question chain generates relevant questions to research further. #langchain#OpenAI