{"id":68065,"date":"2025-02-26T01:00:54","date_gmt":"2025-02-26T01:00:54","guid":{"rendered":"https:\/\/www.cxtoday.com\/?p=68065"},"modified":"2025-03-10T10:46:40","modified_gmt":"2025-03-10T10:46:40","slug":"bigger-isnt-always-better-why-smaller-ai-models-are-outperforming-llms-in-contact-center-hiring","status":"publish","type":"post","link":"https:\/\/www.cxtoday.com\/contact-center\/bigger-isnt-always-better-why-smaller-ai-models-are-outperforming-llms-in-contact-center-hiring\/","title":{"rendered":"Bigger Isn\u2019t Always Better: Why Smaller AI Models Are Outperforming LLMs in Contact Center Hiring"},"content":{"rendered":"<h2 aria-level=\"3\"><span data-contrast=\"none\">The AI Hiring Dilemma in Contact Centers<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:320,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Every interaction in contact centers shapes brand perception. To streamline hiring, businesses are increasingly turning to AI, often defaulting to large language models (LLMs) like OpenAI\u2019s GPT or Google\u2019s Flan T5-Large. While these models excel at processing language, they fall short where it matters most in customer service: soft skills assessment.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Emotional intelligence, adaptability, and conversational nuance\u2014essential traits for customer-facing roles\u2014are difficult for LLMs to evaluate. This has led to a shift: smaller, specialized AI models are proving more effective in hiring for communication-heavy roles.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"3\"><span data-contrast=\"none\">Soft Skills: The Make-or-Break Factor in Contact Centers<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:320,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Contact center agents must think on their feet, de-escalate conflicts, and build rapport across multiple channels. As companies adopt skills-based hiring, recruiters prioritize abilities over credentials. Yet, many AI-driven hiring tools struggle to measure soft skills accurately, leading to poor job matches, high attrition, and weaker customer interactions.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This highlights a critical issue: bigger AI models don\u2019t always mean better hiring decisions.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"3\"><span data-contrast=\"none\">The LLM Limitations: Why General AI Models Fall Short<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:320,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">LLMs are trained on broad, general-purpose datasets, not real-world customer interactions, making them powerful for text generation but flawed for hiring. This has led to three key hiring challenges:<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Lack of Role-Specific Accuracy<\/span><\/b><span data-contrast=\"auto\"> \u2013 LLMs evaluate language fluency but struggle to measure active listening, emotional intelligence, and conversational adaptability\u2014all of which define customer service success.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Bias and Overgeneralization<\/span><\/b><span data-contrast=\"auto\"> \u2013 These models reflect biases in training data, prioritizing language skills over role-specific competencies.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">More Data \u2260 Better Hiring Decisions<\/span><\/b><span data-contrast=\"auto\"> \u2013 Smaller, specialized AI models trained on targeted datasets often deliver more precise hiring insights than an LLM processing vast amounts of unrelated text.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">These limitations are fueling a shift toward industry-specific AI models tailored for recruitment.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"3\"><span data-contrast=\"none\">Smaller AI Models Are Outperforming LLMs<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:320,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Emerging research shows that smaller, targeted AI models are delivering more accurate hiring outcomes. Examples include:<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">HiringBranch:<\/span><\/b><span data-contrast=\"auto\"> their purpose-built AI, tailored specifically for contact center hiring, achieved <\/span><a href=\"https:\/\/www.hiringbranch.com\/blog\/press-release-hiringbranch-language-model-accurate-soft-skill-measurement\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">32-50% greater accuracy<\/span><\/a><span data-contrast=\"auto\"> in soft skill assessment than leading LLMs. The model also improved job matching and reduced attrition.\u00a0<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Eightfold AI: <\/span><\/b><span data-contrast=\"auto\">The company\u2019s <\/span><a href=\"https:\/\/eightfold.ai\/capabilities\/new-eightfold-experience\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Talent Intelligence Co-Pilots<\/span><\/a><span data-contrast=\"auto\"> leverage deep-learning to assess role-specific skills, predict job performance, and reduce hiring bias\u2014offering a more targeted alternative to general LLMs.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Paradox AI:<\/span><\/b><span data-contrast=\"auto\"> Their <\/span><a href=\"https:\/\/www.cxtoday.com\/workforce-engagement-management\/conversational-recruiting-platform-paradox-raises-200m\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">flagship product, \u2018Olivia\u2019<\/span><\/a><span data-contrast=\"auto\">, a conversational AI assistant, streamlines candidate screening with a smaller, specialized model that maintains a human-like touch. This enhances automation without losing personalization.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">The trend is clear: Precision beats scale in AI-driven hiring.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"3\"><span data-contrast=\"none\">Industry Expert Perspective: Smarter AI, Not Just Bigger AI<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:320,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Experts agree that AI built for the job delivers better results than one-size-fits-all models. Assaf Bar Moshe, PhD Scientist and Chief Research &amp; Development Officer at HiringBranch, notes:<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">\u201cWhat we learned from our experiments was that LLMs do not work well enough for measuring soft skills. Overall there is a lot of hype around LLMs, and they are good for general problems but for specific problems, a dedicated corpora is needed.\u201d<\/span><\/i><span data-ccp-props=\"{&quot;335559685&quot;:600,&quot;335559737&quot;:600,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For contact center leaders and HR professionals, the key takeaways are:<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Industry-Specific AI Works Better<\/span><\/b><span data-contrast=\"auto\"> \u2013 Focused AI models outperform generic LLMs in hiring for customer service roles.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Smaller AI Reduces Hiring Risks<\/span><\/b><span data-contrast=\"auto\"> \u2013 More precise job matching lowers turnover and improves customer interactions.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">AI Should Enhance, Not Replace, Human Judgment<\/span><\/b><span data-contrast=\"auto\"> \u2013 The best AI solutions support fair, accurate hiring decisions rather than making them in isolation.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<h2 aria-level=\"3\"><span data-contrast=\"none\">Rethinking AI in Hiring<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:320,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">AI hiring is evolving, and bigger isn\u2019t always better. Smaller, specialized AI models consistently outperform LLMs for roles requiring soft skill evaluation.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For businesses optimizing recruitment, the goal isn\u2019t just automation\u2014it\u2019s smarter, more informed hiring. The clear takeaway here is this: invest in AI that understands the unique demands of contact centers. The future of AI in hiring lies in precision, not just scale, ensuring better workforce stability and stronger customer experiences.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI Hiring Dilemma in Contact Centers\u00a0 Every interaction in contact centers shapes brand perception. To streamline hiring, businesses are increasingly turning to AI, often defaulting to large language models (LLMs) like OpenAI\u2019s GPT or Google\u2019s Flan T5-Large. While these models excel at processing language, they fall short where it matters most in customer service: [&hellip;]<\/p>\n","protected":false},"author":9593,"featured_media":68066,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[11850],"class_list":["post-68065","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-contact-center","tag-artificial-intelligence","brands_to_track-cx-today","editorial_type-interview","intent-evaluation","target_audience-enterprise-buyer"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.3.1 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Bigger Isn\u2019t Always Better: Why Smaller AI Models Are Outperforming LLMs in Contact Center Hiring - CX Today<\/title>\n<meta name=\"description\" content=\"CX Today covers Contact Center &amp; 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