Post Content
βΒ In this video, I dive into Alibaba’s latest Qwen-2 model, the best open weight model available. We explore function calling and agentic workflows using Qwen-2’s powerful features. The model family ranges from 0.5 billion to 72 billion parameters, with support for up to 128,000 tokens and multiple languages, including Middle Eastern and Southeastern languages. I’ll show you how to perform function calling and create custom agents with the Qwen-2 agent framework.
? Massed Compute VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
? RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
? Discord: https://discord.com/invite/t4eYQRUcXB
β Buy me a Coffee: https://ko-fi.com/promptengineering
|? Patreon: https://www.patreon.com/PromptEngineering
?Consulting: https://calendly.com/engineerprompt/consulting-call
? Business Contact: engineerprompt@gmail.com
Become Member: http://tinyurl.com/y5h28s6h
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
INSTRUCTION:
conda create -n qwen python=3.10
conda activate qwen
LINKS:
Qwen-2: https://qwenlm.github.io/blog/qwen2/
Qwen-Agent: https://github.com/QwenLM/Qwen-Agent
Function Calling Example: https://qwen.readthedocs.io/en/latest/framework/function_call.html
Agent Usage Example: https://qwen.readthedocs.io/en/latest/framework/qwen_agent.html
Gemini Flash Agents: https://youtu.be/A20wzlC7Q-c
TIMESTAMPS:
00:00 Introduction to Quen2 Models
01:51 Difference between function calling and Agents
04:31 Setting Up and Running Quen2 Locally
07:31 Function Calling with Quen2: A Practical Example
11:54 Creating Custom Agents with Quen2
17:04 Impact of Quantization on Model Performance
All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr
Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw
Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw
AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4zΒ Β Β Read MoreΒ Prompt EngineeringΒ
#AI #promptengineering
+ There are no comments
Add yours