🌟 [ 19 ]   37% Better Output with 15 Lines of Code - Llama 3 8B (Ollama) & 70B (Groq) [ @All About AI ]

To try everything Brilliant has to offer—free—for a full 30 days, visit [ 🔗 Click ‼️ ] . You’ll also get 20% off an annual premium subscription. 37% Better Output with 15 Lines of Code - Llama 3 8B (Ollama) u0026 70B (Groq) GitHub Project: [ 🔗 Click ‼️ ] Become a member and get access to GitHub and Code: [ 🔗 Click ‼️ ] Great AI Engineer Course: [ 🔗 Click ‼️ ] Join the newsletter: [ 🔗 Click ‼️ ] My website: [ 🔗 Click ‼️ ] In this video I try to improve a known problem when using RAG in local model like Llama 3 8B on ollama. This local RAG system was improved by just adding around 15 lines of code. Feel free to share and rate on GitHub :) 00:00 Llama 3 Improved RAG Intro 02:01 Problem / Soulution 03:05 Brilliant.org 04:26 How this works 12:05 Llama 3 70B Groq 15:12 Conclusion

:::: Visit my YouTube channel @ All About AI ( [ 🔗 Click ‼️ ] )

🌈 🔎 37%BetterOutputwith15LinesofCodeLlama38BOllama70BGroq 🌈