https://reflektlab.ai/component---src-components-blog-post-tsx-con…too-hyped-index-mdx-09aca1e8c6a0fe940f3a.js

1"use strict";(self.webpackChunkreflektlab_ai=self.webpackChunkreflektlab_ai||[]).push([[2559],{5235:function(e,t,l){l.r(t),l.d(t,{DEFAULT_FOOTER:function(){return F},Head:function(){return R},default:function(){return O},footerFor:function(){return K},pickRelated:function(){return S}});var a=l(8453),n=l(6540);function r(e){const t=Object.assign({span:"span",h2:"h2",strong:"strong",p:"p",a:"a",em:"em",ul:"ul",li:"li",ol:"ol"},(0,a.RP)(),e.components);return n.createElement(n.Fragment,null,n.createElement(t.span,{dangerouslySetInnerHTML:{__html:'<span\n      class="gatsby-resp-image-wrapper"\n      style="position: relative; display: block; margin-left: auto; margin-right: auto; max-width: 1200px; "\n    >\n      <span\n    class="gatsby-resp-image-background-image"\n    style="padding-bottom: 92%; position: relative; bottom: 0; left: 0; background-image: url(\'data:image/png;base64,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\'); background-size: cover; display: block;"\n  ></span>\n  <img\n        class="gatsby-resp-image-image"\n        alt="Gartner Hype Cycle for Digital Marketing, August 2023, with generative AI for marketing at the peak of inflated expectations"\n        title=""\n        src="/static/86cdaf0c5f10e1ebd6e923fea73a3bcb/c1b63/hype-cycle-for-digital-marketing.png"\n        srcset="/static/86cdaf0c5f10e1ebd6e923fea73a3bcb/5a46d/hype-cycle-for-digital-marketing.png 300w,\n/static/86cdaf0c5f10e1ebd6e923fea73a3bcb/0a47e/hype-cycle-for-digital-marketing.png 600w,\n/static/86cdaf0c5f10e1ebd6e923fea73a3bcb/c1b63/hype-cycle-for-digital-marketing.png 1200w,\n/static/86cdaf0c5f10e1ebd6e923fea73a3bcb/fe8a7/hype-cycle-for-digital-marketing.png 1223w"\n        sizes="(max-width: 1200px) 100vw, 1200px"\n        style="width:100%;height:100%;margin:0;vertical-align:middle;position:absolute;top:0;left:0;"\n        loading="eager" fetchpriority="high"\n        decoding="async"\n      />\n    </span>'}}),"\n",n.createElement(t.h2,{id:"expectations-are-mad-in-the-world-of-ai"},n.createElement(t.strong,null,"Expectations are mad in the world of AI.")),"\n",n.createElement(t.p,null,"As highlighted by ",n.createElement(t.a,{href:"https://www.sequoiacap.com/article/generative-ai-act-two/"},"Sequoia’s article"),", the initial excitement has led to a firestorm of innovation and confusion. Many first-time companies are missing the mark, and there’s a shift toward focusing on vertical applications where generative AI (genAI) is a feature rather than a standalone product. The practice is also evolving rapidly: last year was about fine-tuning models, and this year, it’s about RAG, not to mention the new language models appearing every two weeks."),"\n",n.createElement(t.p,null,"Unsurprisingly, there’s a widespread confusion about what AI can and cannot do."),"\n",n.createElement(t.p,null,"This general disenchantment is not just a misunderstanding. While something might work flawlessly during testing, putting it into production often reveals challenges: ",n.createElement(t.em,null,"model-bound prompt engineering,")),"\n",n.createElement(t.ul,null,"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"Prompt engineering is bound to their language models.")),"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"QA is difficult.")),"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"Complex chains increase the chances of errors, invalidating the whole output.")),"\n"),"\n",n.createElement(t.p,null,"Even the fundamentals are still nascent, ",n.createElement(t.a,{href:"https://arxiv.org/pdf/2407.01219"},"RAG is becoming an art")," and architectures like ",n.createElement(t.a,{href:"https://deepgram.com/learn/mixture-of-experts-ml-model-guide"},"Mixture of Experts still have much development ahead.")),"\n",n.createElement(t.p,null,

1n.createElement(t.em,null,"We are not there yet.")),"\n",n.createElement(t.p,null,"However, there's already so much fantastic potential in genAI that's often overlooked. It's not just about writing like a ",n.createElement(t.em,null,"(weird)")," human!"),"\n",n.createElement(t.p,null,"There is real power already in:"),"\n",n.createElement(t.ul,null,"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"Connecting topics or concepts that are loosely related.")),"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"Extracting valuable information from large raw inputs.")),"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"Categorizing data effectively.")),"\n"),"\n",n.createElement(t.p,null,"And maybe my favorite:"),"\n",n.createElement(t.ul,null,"\n",n.createElement(t.li,null,n.createElement(t.strong,null,"Machines aren’t limited by brainpower or time; they can explore hundreds of hypotheses and consolidate them, while an analyst might explore a few, hoping their intuition is good.")),"\n"),"\n",n.createElement(t.p,null,"References"),"\n",n.createElement(t.ol,null,"\n",n.createElement(t.li,null,"Huang, S., Grady, P., & GPT-4. (2023, September 20). ",n.createElement(t.a,{href:"https://www.sequoiacap.com/article/generative-ai-act-two/"},"Generative AI’s Act Two. Sequoia.")),"\n",n.createElement(t.li,null,"Wang, X., Wang, Z., Gao, X., Zhang, F., Wu, Y., Xu, Z., Shi, T., Wang, Z., Li, S., Qian, Q., Yin, R., Lv, C., Zheng, X., & Huang, X. (n.d.). ",n.createElement(t.a,{href:"https://arxiv.org/pdf/2407.01219"},"Searching for Best Practices in Retrieval-Augmented Generation.")),"\n",n.createElement(t.li,null,"Wang, Z. (Andy). (n.d.). ",n.createElement(t.a,{href:"https://deepgram.com/learn/mixture-of-experts-ml-model-guide"},"Mixture of Experts: How an Ensemble of AI Models Decide As One. Deepgram.")),"\n"))}var o=function(e={}){const{wrapper:t}=Object.assign({},(0,a.RP)(),e.components);return t?n.createElement(t,e,n.createElement(r,e)):r(e)},s=l(4506),i=l(4755),c=l(7746),m=l(4823),d=l(7093),g=l(6585),u=l(6085),x=l(5367),p=l(4368),b=l(1840),f=l(6388),y=l(7891),h=l(7414),E=l(5515),w=l(5996);const v={h2:e=>n.createElement("h2",Object.assign({className:"text-2xl sm:text-3xl font-bold text-gray-1 mt-8 mb-4"},e)),h3:e=>n.createElement("h3",Object.assign({className:"text-xl sm:text-2xl font-bold text-gray-1 mt-6 mb-3"},e)),p:e=>n.createElement("p",Object.assign({className:"text-base sm:text-lg text-gray-2 leading-relaxed mb-4"},e)),ul:e=>n.createElement("ul",Object.assign({className:"pl-6 sm:pl-8 list-disc text-base sm:text-lg text-gray-2 leading-relaxed my-4"},e)),ol:e=>n.createElement("ol",Object.assign({className:"pl-6 sm:pl-8 text-base sm:text-lg text-gray-2 list-decimal leading-relaxed my-4"},e)),li:e=>n.createElement("li",Object.assign({className:"mb-3"},e)),img:e=>n.createElement("img",Object.assign({className:"w-full h-auto rounded-lg my-8 sm:my-12"},e)),a:e=>n.createElement("a",Object.assign({className:"text-dark-blue"},e)),strong:e=>n.createElement("strong",Object.assign({className:"font-bold text-gray-1"},e)),hr:()=>n.createElement("hr",{className:"border-t border-gray-3 my-8"}),blockquote:e=>n.createElement("blockquote",Object.assign({className:"border-l-4 border-light-blue pl-4 sm:pl-6 my-4 text-base sm:text-lg text-gray-2 italic"},e)),table:e=>n.createElement("div",{className:"overflow-x-auto my-6"},n.createElement("table",Object.assign({className:"min-w-full text-sm sm:text-base text-gray-2 border-collapse"},e))),thead:e=>n.createElement("thead",Object.assign({className:"border-b-2 border-gray-3"},e)),th:e=>n.createElement("th",Object.assign({className:"text-left font-bold text-gray-1 px-3 py-2 sm:px-4 sm:py-3"},e)),td:e=>n.createElement("td",Object.assign({className:"px-3 py-2 sm:px-4 sm:py-3 border-b border-gray-3"},e)),ArchitectureDiagram:p.A,ToolDistributionChart:b.A,DryRunFlow:f.A,InArticleCTA:E.A,SpecList:y.A,ChatPreview:h.A},A={to:"/solutions/custom-erp-tooling/",titleKey:"blog_next_custom_title",descKey:"blog_next_custom_desc"},k={to:"/solutions/reprise-de-code/",titleKey:"blog_next_takeover_title",descKey:"blog_next_takeover_desc"},N={to:"/solutions/technical-due-diligence/",titleKey:"blog_next_tdd_title",descKey:"blog_next_tdd_desc"},_={to:"/case-studies/",titleKey:"blog_next_cases_title",descKey:"blog_next_cases_desc"},F={links:[{to:"/data/",titleKey:"blog_next_data_title",descKey:"blog_next_data_desc"},{to:"/reflekt-crm/",titleKey:"blog_next_crm_title",descKey:"blog_next_crm_desc"},{to:"/technology/",titleKey:"blog_next_tech_title",descKey:"blog_next_tech_desc"}],titleKey:"blog_cta_title"},C=[["code-audit",{links:[k,N,_],titleKey:"blog_cta_title_takeover",topic:"code-takeover"}],["fractional-cto",{links:[{to:"/solutions/fractional-cto/",titleKey:"blog_next_cto_title",descKey:"blog_next_cto_desc"},N,_],titleKey:"blog_cta_title_cto"}],["custom-software",{links:[A,k,_],titleKey:"blog_cta_title_custom",topic:"custom-software"}],["ai-strategy",{links:[{to:"/solutions/audit-ia/",titleKey:"blog_next_audit_title",descKey:"blog_next_audit_desc"},_,A],titleKey:"blog_cta_title_audit",topic:"audit-ia"}]],K=e=>{const t=new Set(null!=e?e:[]),l=C.find(([e])=>t.has(e));return l?l[1]:F},S=(e,t,l,a=3)=>{const n=e.filter(e=>e.fields.slug!==t),r=(0,s.A)(n).sort((e,t)=>

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