[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"clip-detail-rag-vs-fine-tuning-vs-prompt-engineering-optimizing-ai-models-zygdpg-p":3,"comment-tonality-bbf9eeb2-b128-4482-8e2e-2382f20aba29":18},{"clipId":4,"slug":5,"title":6,"description":7,"thumbnailUrl":8,"videoUrl":9,"durationSeconds":10,"publishedAt":11,"creatorPlatform":12,"creatorUsername":13,"creatorDisplayName":14,"viewCount":15,"likeCount":16,"commentCount":17},"bbf9eeb2-b128-4482-8e2e-2382f20aba29","rag-vs-fine-tuning-vs-prompt-engineering-optimizing-ai-models-zygdpg-p","RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models","Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ...","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FzYGDpG-pTho\u002Fhqdefault.jpg","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=zYGDpG-pTho",790,"2025-04-14T11:01:27+00:00","youtube","@ibmtechnology","IBM Technology",698828,12470,218,{"clipId":4,"rankingDate":19,"sampleSize":20,"positivePct":21,"neutralPct":22,"negativePct":23,"highlights":24,"harsh":40,"model":46,"analyzedAt":47,"technicalSummary":48,"promiseClaim":48,"deliveryVerdict":48,"evidence":49},"",100,82,12,6,[25,30,35],{"author":26,"likeCount":27,"text":28,"tag":29},"@AdibCodes",212,"It's really amazing how much …","elogio técnico",{"author":31,"likeCount":32,"text":33,"tag":34},"@ManudeepSinha",124,"Kudos!","elogio general",{"author":36,"likeCount":37,"text":38,"tag":39},"@truthyzaza",29,"Your ability to simplify complex topics is truly inspiring.","elogio personal",[41],{"author":42,"likeCount":43,"text":44,"tag":45},"@peters616",112,"Another potentially very big downside to fine tuning not mentioned in this video...","crítica dura","gpt-4o-mini","2026-07-30T05:20:54.506+00:00",null,[]]