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llama 3.1 is the new SOTA for open source but how good is it at function calling or tool usage for Agents? In this video, we test the new 70B, 8B llamas via the Groq API for parallel and Nested function calls along with a specialized fine-tune for function calling. Results will surprise you!
LINKS:
Check out Langtrace: https://langtrace.ai/
Github: https://github.com/Scale3-Labs/langtrace
Langtrace Discord: https://discord.langtrace.ai/
Notebooks:
llama3.1 70B: https://tinyurl.com/3p4w4zvc
llama3.1 8B: https://tinyurl.com/yz6erxm2
llama3 70B fine-tuned: https://tinyurl.com/523av9ut
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TIMESTAMPS:
00:00 Introduction to Llama 3.1 and Function Calling
01:13 Setting Up the Environment
03:30 Testing Basic Function Calls
09:43 Exploring Parallel Function Calls
15:29 Nested Function Calls with Movie Recommendations
17:43 Comparing Models: 70B vs 8B
20:13 Specialized Function Calling Models from Groq
21:43 Final Thoughts and Recommendations
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=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z Read More Prompt Engineering
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