algomo
We've been working on autonomous AI agents for customer service, which we believe its a great alternative to both traditional as well as RAG chatbots. Here are the key differentiation point:
1. Autonomous Decision-Making: Unlike typical chatbots AI agents can strategize and execute solutions, interacting with tools, APIs, and even incorporating human judgement when necessary.
2. Module Interaction: Besides simple text responses, AI agents can interact with various modules for a comprehensive approach to problem-solving in customer service.
3. Technical Integrations: AI agents can integrate with existing systems, showcasing a high degree of technical adaptability and problem-solving prowess in diverse environments.
We're releasing our first AI agents for shopify tools, so if you have a Shopify store you can test it here: www.algomo.com/ai-agents-shopify or test a real use case here https://www.magistraat.beer/en
Pretty keen to hear your feedback!
OpenAI Function Calling: Examples to Get Started
For agents A) Enable saving of valid responses right from the conversations page B) Surface possible conflicting sources (eg pricing in the website being different to that of documentation)
As far as I know, Fin is only trained on help articles, which of course means that one has to have content already in there.
Show HN: Algomo – Customer Support Powered by LLMs, Web and Neural Search
https://playground.algomo.com/
Hello HN,My team and I have developed a customer service platform, leveraging the capabilities of OpenAI’s GPT 3.5 and 4, Bing’s custom search, and internal document search functionalities.Its key benefit is the ability to summarize and cite the top search results.This AI system makes use of both public and internal search results to provide citations for specific facts. This not only brings...