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Workshop Wednesday is happening in 35 hours
How Chatbots Actually Work: From User Message to AI Response
I have previously conducted lectures on LLM orchestration, RAG pipeline, multi-modal models, and multi-agent architecture. I am going to explain how to implement chatbot functionality by utilizing the previous lecture. A chatbot MVP is essentially: A system that takes a user message → understands it → optionally looks things up → generates a response → returns it You can express this as a simple loop: The 5 Core Components of a Chatbot MVP Break the system into 5 understandable parts: ① User Interface (UI) Chat screen (web, app, Slack, etc.) Where users type messages ② Backend Controller (Orchestrator) The “brain” that decides what to do next Routes requests between components Connect to your previous lectures: This is where **LLM orchestration logic** lives. ③ Large Language Model (LLM) Generates responses Understands natural language ④ Knowledge / Data Layer (Optional but critical for MVP+) Documents, database, APIs Used in **RAG (Retrieval-Augmented Generation)** ⑤ Memory (Optional but powerful) Conversation history User preferences User ↓ UI ↓ Orchestrator ├── LLM └── Knowledge Base (RAG) ↓ Response contact information: telegram:@kingsudo7 whatsapp:+81 80-2650-2313
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How Chatbots Actually Work: From User Message to AI Response
Workshop Wednesday
@Jorden Williams @Mike Copeland is this still on?
Apple Call Screening Greeting
What up fam. Someone found a reliable solution to get around the Apple Call Screening Greeting ? My Caller hangs up most of the time because it's thinking it's talking to the voice mail lol Any ideas here ? Maybe from the team itself @Bernie White @Jorden Williams ?
For the future
I am looking for someone to collaborate with. I do not care where you live. I build AI systems using LLM orchestration, RAG pipeline, multi-modal models, and multi-agent architecture combined full-stack development and automation integration. If you need my help, I will gladly assist for our collaboration. My Discord ID is @ur_sa. Let's further develop our collaboration here.
For the future
Collab Opportunity
We’re looking for a reliable partner (must be based in US, UK, CA, AU, DE, or NZ) to work with our team on a part-time basis. We’re offering a monthly salary of USD 2,000 - 3,000, with flexible working hours and long-term collaboration in mind. Our company, Linkcoders (linkcoders.com) is a software development and outsourcing company that works with international clients across various industries. We focus on building high-quality, scalable software solutions and value clear communication and consistent delivery. This role would involve working closely with our existing team, contributing to ongoing projects, and collaborating remotely. If this sounds interesting to you, I’d be happy to share more details and discuss how we could work together. Looking forward to hearing from you. Best regards, Jamey
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