17 - Gemini 1.5 vs 2.0 LLM comparison: Did It improve auto-cpufreq's GenAI chatbot? скачать в хорошем качестве

17 - Gemini 1.5 vs 2.0 LLM comparison: Did It improve auto-cpufreq's GenAI chatbot?

This video is part of:    • From Zero to AI Hero: How to Build a ...   Youtube playlist. For reference, full appendix of topics I'll be covering please refer to its: "From Zero to AI Hero: How to Build a GenAI Chatbot with Gemini & Vertex AI Agent Builder" https://foolcontrol.org/?p=5051 --- Video description See the auto-cpufreq GenAI chatbot in action! This video provides a demo of the chatbot I built using Gemini and Vertex AI Conversational Messenger, showcasing its capabilities and how it automates support. --- Timestamps 0:01 Speaking out about Gemini 2.0 missing as part of Vertex AI Agent Builder 1:12 Release of Gemini 2 Flash for Vertex AI Agent Builder and idea of comparing Gemini 1.5 vs 2.0 1:50 How to configure Gemini 2.0 for Conversation Agents as part of Vertex AI Agent Builder 3:07 Building the chatbot: A deep dive into its architecture, data collection process (fetching GitHub issues, comments, blog posts, and more using Python scripts), and how it was all set up with Google Cloud. 12:18 Demo and showcase: A live demonstration of the auto-cpufreq genAI chatbot in action, handling real user questions with precision. 2:30 - What is the difference between Gemini 2.0 Flash and Gemini 2.0 Flash lite? 4:12 - Comparing answers I get from Gemini 1.5 flash and Gemini 2.0 Flash with agent simulator and auto-cpufreq genAI chatbot 13:35 - Conclusion and LLM comparison results. ---- Links auto-cpufreq-genAI-chatbot Github Repo with API key configuration for Github, Youtube, Reddit, its Data Fetch scripts and data. Along with Conversational Messenger integration code for your website and WordPress: https://github.com/AdnanHodzic/auto-c... "How I replaced myself with a genAI chatbot using Gemini" blog post: https://foolcontrol.org/?p=4903 Youtube video:    • How I replaced myself with a genAI ch...   Google /dev/cloud day Amsterdam: https://cloud.google.com/events/googl... --- Topics covered in this Playlist and next videos 1 – My GenAI Chatbot use case: Automating auto-cpufreq support 2 – What do you need to create a GenAI Chatbot on Google Cloud? 3 – auto-cpufreq GenAI Chatbot Architecture: How It Works 4 – How to define Data Sources for your GenAI Chatbot 5 – How to fetch data from defined GenAI Chatbot Data Sources 6 – Create a GCS bucket to store data for GenAI Chatbot Data Sources 7 – Create a GenAI Chatbot Data Source using a GCS bucket and import data 8 – Create a “Conversation Agents” Chatbot app using Vertex AI Agent Builder 9 – Key options in Vertex AI Agent Builder (Conversational Agent) 9.1 General model selection 9.2 Grounding and selecting confidence level that response is grounded 9.3 Conversational History 9.4 Safety filters; banned words & phrases 10 – Understanding RAG in the context of our GenAI Chatbot 11 – Testing and Debugging in Vertex AI Agent Builder 11.1 Comparing answers between different LLM models 11.2 Determine if model is communicating and pulling answers from data store 11.3 Disabling non-deterministic behavior of models and adjusting temperature during testing 11.4 Using Google AI Studio for Development and Debugging of GenAI Chatbots 12 – GenAI Chatbot website Integration with Vertex AI: Conversational Messenger 13 – GenAI Chatbot WordPress Integration with Vertex AI: Conversational Messenger 14 – Backup & Restore for Vertex AI Agent Builder Chatbot 15 – How Google AI Studio can help with GenAI Chatbot development 16 – Demo: auto-cpufreq GenAI Chatbot with Vertex AI (Conversational Agents) 17 - Gemini 1.5 vs 2.0 LLM Comparison: Did It improve auto-cpufreq's GenAI chatbot?