[et_pb_section fb_built=\u201e1\u201c _builder_version=\u201e4.16\u201c custom_padding=\u201e0px||0px||true\u201c da_disable_devices=\u201eoff|off|off\u201c locked=\u201eoff\u201c global_colors_info=\u201c{}\u201c da_is_popup=\u201eoff\u201c da_exit_intent=\u201eoff\u201c da_has_close=\u201eon\u201c da_alt_close=\u201eoff\u201c da_dark_close=\u201eoff\u201c da_not_modal=\u201eon\u201c da_is_singular=\u201eoff\u201c da_with_loader=\u201eoff\u201c da_has_shadow=\u201eon\u201c][et_pb_row _builder_version=\u201e4.18.0\u201c custom_padding=\u201e0px||||false|false\u201c global_colors_info=\u201c{}\u201c][et_pb_column type=\u201e4_4\u201c _builder_version=\u201e4.16\u201c custom_padding=\u201c|||\u201c global_colors_info=\u201c{}\u201c custom_padding__hover=\u201c|||\u201c][et_pb_post_title author=\u201eoff\u201c date=\u201eoff\u201c categories=\u201eoff\u201c comments=\u201eoff\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c title_font=\u201c|800|||||||\u201c global_colors_info=\u201c{}\u201c][\/et_pb_post_title][et_pb_text _builder_version=\u201e4.27.4\u201c header_font=\u201c|700|||||||\u201c header_4_letter_spacing=\u201e12px\u201c module_alignment=\u201ecenter\u201c saved_tabs=\u201eall\u201c locked=\u201eoff\u201c global_colors_info=\u201c{}\u201c]<\/p>\n
With Insiders LLM Bench\u00admar\u00adking, we as AI experts keep an eye on the LLM world, compare the most powerful models, and offer our customers reliable guidance in the fast-paced LLM jungle.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c header_font=\u201c|700|||||||\u201c header_4_letter_spacing=\u201e12px\u201c module_alignment=\u201ecenter\u201c global_colors_info=\u201c{}\u201c]<\/p>\n The world of large language models (LLMs) is growing rapidly. Models such as GPT\u20114 Turbo, Claude 3.5 Sonnet, and Gemini 1.5 Pro offer enormous pos\u00adsi\u00adbi\u00adli\u00adties, but differ greatly in their sui\u00adta\u00adbi\u00adlity for different use cases. LLMs are essential in intel\u00adli\u00adgent process auto\u00adma\u00adtion. But how can companies find the right LLM for their requi\u00adre\u00adments? Insiders LLM Bench\u00admar\u00adking provides a reliable answer to this question. Our AI experts regularly analyze and evaluate the most powerful models on the rapidly changing global tech\u00adno\u00adlogy market and identify those LLMs that are best suited for the data-to-process domain. What does LLM bench\u00admar\u00adking at Insiders mean? This regular per\u00adfor\u00admance check is based on a spe\u00adcia\u00adlized IDP benchmark that draws on our many years of expe\u00adri\u00adence as a suc\u00adcessful AI and software company. The stan\u00addar\u00addized Insiders test data covers a wide range of typical business processes in the insurance and finance indus\u00adtries, enabling an objective eva\u00adlua\u00adtion of the overall per\u00adfor\u00admance of an LLM. The test set includes address and name changes, premium invoices, damage reports, SEPA mandates, and medical documents, which form the basis for a wide range of common business processes. Insiders LLM bench\u00admar\u00adking is a con\u00adti\u00adnuous process that drives the best-of-breed approach. This allows Insiders to keep track of the per\u00adfor\u00admance of the latest LLMs and ensure that its customers always use the best possible solution for their needs with the help of the flexible LLM inte\u00adgra\u00adtion of the Insiders OvAItion Engine. This enables AI to be used sensibly and securely in the company. You can find out which LLM is currently the best in the latest Insiders LLM Bench\u00admar\u00adking January 2025.<\/p>\n [\/et_pb_text][et_pb_button button_url=\u201c@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9hdHRhY2htZW50Iiwic2V0dGluZ3MiOnsicG9zdF9pZCI6Ijg0NzQ1In19@\u201c url_new_window=\u201eon\u201c button_text=\u201eRead LLM com\u00adpa\u00adrison\u201c button_alignment=\u201eleft\u201c _builder_version=\u201e4.27.4\u201c _dynamic_attributes=\u201ebutton_url\u201c _module_preset=\u201edefault\u201c custom_button=\u201eon\u201c button_text_color=\u201egcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2\u201c locked=\u201eoff\u201c global_colors_info=\u201c{%22gcid-e57f936a-e1ef-478a-a91c-6dc2f7bf0652%22:%91%22button_text_color__hover%22%93,%22gcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2%22:%91%22button_text_color%22%93}\u201c button_text_color__hover_enabled=\u201eon|hover\u201c button_text_color__hover=\u201e#000000\u201c button_bg_color__hover_enabled=\u201eon|hover\u201c][\/et_pb_button][et_pb_text disabled_on=\u201eoff|off|off\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c header_font=\u201c|700|||||||\u201c header_4_letter_spacing=\u201e12px\u201c module_alignment=\u201ecenter\u201c global_colors_info=\u201c{}\u201c]<\/p>\n For indi\u00advi\u00addual use cases, Insiders AI experts offer sound advice for your company. We would be happy to include your data in an upcoming industry-specific bench\u00admar\u00adking exercise. Simply contact our Insiders AI experts to find out more.<\/p>\n [\/et_pb_text][et_pb_button button_url=\u201emailto:llm-benchmarking@insiders-technologies.de\u201c url_new_window=\u201eon\u201c button_text=\u201eBenchmark my use case\u201c button_alignment=\u201eleft\u201c disabled_on=\u201eoff|off|off\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c custom_button=\u201eon\u201c button_text_color=\u201egcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2\u201c locked=\u201eoff\u201c global_colors_info=\u201c{%22gcid-e57f936a-e1ef-478a-a91c-6dc2f7bf0652%22:%91%22button_text_color__hover%22%93,%22gcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2%22:%91%22button_text_color%22%93}\u201c button_text_color__hover_enabled=\u201eon|hover\u201c button_text_color__hover=\u201e#000000\u201c button_bg_color__hover_enabled=\u201eon|hover\u201c][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Which LLM is best for your business? Insiders LLM Bench\u00admar\u00adking analyzes the latest models such as GPT\u20114 Turbo, Claude 3.5 Sonnet, and Gemini 1.5 Pro and evaluates their per\u00adfor\u00admance for intel\u00adli\u00adgent process auto\u00adma\u00adtion. Find out which model will be leading the way in 2025 \u2013 read now!<\/p>\n","protected":false},"author":20,"featured_media":88277,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","wp_typography_post_enhancements_disabled":false,"_mbp_gutenberg_autopost":false,"footnotes":""},"categories":[677,2,504,605],"tags":[],"class_list":["post-88276","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-blog-en","category-customer-en","category-ovaition-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts\/88276","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/comments?post=88276"}],"version-history":[{"count":0,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts\/88276\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/media\/88277"}],"wp:attachment":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/media?parent=88276"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/categories?post=88276"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/tags?post=88276"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}