AI Chatbot chat group with MULTIPLE LLM MODELS!! | Unscripted Coding

Unscripted Coding · Beginner ·🧠 Large Language Models ·1y ago

About this lesson

A few weeks ago, I toyed with the idea of a chatbot that included multiple bots in a group chat. The kicker is that each bot ran on a different model. Hopefully we can choose models that suit the strengths/personality of the bot (for example, some models are better than others at creative writing). We did okay, but it wasn't great, so this time around, we seriously revamp the multi-chatbot-chat-group! Unscripted Coding is entirely unscripted and organic. If you're looking for a tutorial, you're in the wrong place! What we do here is try and build something from scratch, filled with all the mistakes and lessons learned along the way! Total Time: 1 hour and 25 minutes Background Tracks: Allem Iversom - Downwards

Original Description

A few weeks ago, I toyed with the idea of a chatbot that included multiple bots in a group chat. The kicker is that each bot ran on a different model. Hopefully we can choose models that suit the strengths/personality of the bot (for example, some models are better than others at creative writing). We did okay, but it wasn't great, so this time around, we seriously revamp the multi-chatbot-chat-group! Unscripted Coding is entirely unscripted and organic. If you're looking for a tutorial, you're in the wrong place! What we do here is try and build something from scratch, filled with all the mistakes and lessons learned along the way! Total Time: 1 hour and 25 minutes Background Tracks: Allem Iversom - Downwards
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
We Built AI Using Wikipedia, But Wikipedia Is 40% Wrong
Learn how AI built using Wikipedia can be flawed due to the platform's inaccuracies and why this matters for AI development
Medium · Machine Learning
📰
I Built an LLM Filter That Prefers Silence Over Slop — and the Eval Harness That Keeps It Honest
Learn how to build an LLM filter that prioritizes silence over slop and create an evaluation harness to ensure its accuracy
Dev.to AI
📰
Open-Weight LLM API Integration: A Developer's Practical Guide
Learn to integrate open-weight LLM APIs into your applications for more flexible and customizable AI solutions
Dev.to AI
📰
Fine-Tuning: Lleva tus modelos de IA al siguiente nivel con precisión real
Learn how to fine-tune pre-trained AI models for specific business needs to achieve more precise and coherent results
Medium · Machine Learning
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →