In this video I test different Chain of Thought and Chain of Draft prompts across a variety of models looking at accuracy and token counts. In the end I discuss new ways to save tokens with prompt techniques I use.
My Links ????
???????? Subscribe: https://www.youtube.com/@GosuCoder
???????? Twitter/X: https://x.com/GosuCoder
???????? LinkedIn: https://www.linkedin.com/in/adamwilliamlarson/
???????? Discord: https://discord.gg/YGS4AJ2MxA
My computer specs
GPU: 7900xtx
CPU: 7800x3d
RAM: DDR5 6000Mhz
Media/Sponsorship Inquiries ✅
gosucoderyt@gmail.com
Links:
Chain of Draft: https://arxiv.org/pdf/2502.18600
Save 20% (Affiliate) Checkout the AI Engineer Path on Scrimba https://scrimba.com/the-ai-engineer-path-c02v?via=GosuCoder
My Links ????
???????? Subscribe: https://www.youtube.com/@GosuCoder
???????? Twitter/X: https://x.com/GosuCoder
???????? LinkedIn: https://www.linkedin.com/in/adamwilliamlarson/
???????? Discord: https://discord.gg/YGS4AJ2MxA
My computer specs
GPU: 7900xtx
CPU: 7800x3d
RAM: DDR5 6000Mhz
Media/Sponsorship Inquiries ✅
gosucoderyt@gmail.com
Links:
Chain of Draft: https://arxiv.org/pdf/2502.18600
Save 20% (Affiliate) Checkout the AI Engineer Path on Scrimba https://scrimba.com/the-ai-engineer-path-c02v?via=GosuCoder
- Catégories
- prompts ia
- Mots-clés
- #AI, #LLM, #AI Agents
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