{"id":16112,"date":"2024-09-23T10:26:53","date_gmt":"2024-09-23T08:26:53","guid":{"rendered":"https:\/\/kauz.ai\/openai-o1-ai-progress-through-llm-updates\/"},"modified":"2024-10-11T12:57:42","modified_gmt":"2024-10-11T10:57:42","slug":"openai-o1-ai-progress-through-llm-updates","status":"publish","type":"post","link":"https:\/\/kauz.ai\/en\/blog\/openai-o1-ai-progress-through-llm-updates\/","title":{"rendered":"OpenAI o1: AI progress through LLM updates"},"content":{"rendered":"

<\/p>\n

Our chatbot turbo: large language models<\/b><\/h3>\n

Our AI chatbots have made tremendous progress in terms of content with the introduction of the first Large Language Models (LLMs), first through the sudden exponential increase in natural conversational ability and then through the <\/span>use of RAG<\/span><\/a>to adapt the content of the LLMs to the respective use cases. As an exclusive tier 5 user of OpenAI, we test every new version before the official market launch in order to be able to provide our customers with the best possible advice, because in the <\/span>Owl aiStudio<\/span><\/a> the common LLMs can be used flexibly and application-specifically. <\/span><\/p>\n

 <\/p>\n

What can you expect from OpenAI o1?<\/b><\/h3>\n

Despite numerous good alternatives, the various GPT versions of OpenAI are still among the best and most comprehensive <\/span>best, as they are the most comprehensive large language models<\/span><\/a>.
\nDoch bei der Entwicklung von KI-Applikationen ist wohl bald gar nicht mehr die Gr\u00f6\u00dfe des Modells erfolgsentscheidend.
\nF\u00fcr viele Use Cases ist nur ein Bruchteil des allgemeinen Weltwissens erforderlich, die Anreicherung um unternehmensspezifische Informationen hingegen umso wichtiger.
\nMit dem neuen Release kommt OpenAI dieser Anforderung mit einem Reasoning-Modell nach: So kann o1 mehrstufige Problemstellungen bedeutend besser l\u00f6sen.
\nAuch bei einfachen Anfragen wird auf mehr Reasoning-F\u00e4higkeiten aufgebaut und die Antwortqualit\u00e4t entsprechend gesteigert.
\nDem \u201ceinfachen\u201d Endnutzer wird dieser Fortschritt zun\u00e4chst vielleicht gar nicht auffallen, wenn nicht die \u201crichtige\u201d Aufgabenstellung vorliegt.
\nF\u00fcr KI-Entwickler hingegen ist die effizientere Modellarchitektur ein gro\u00dfer Vorteil bei der Erstellung eigener KI-Anwendungen.
\nZwar bietet o1 derzeit noch keine wesentlichen Fortschritte bei der RAG-Optimierung, aber die kombinatorische F\u00e4higkeit er\u00f6ffnet bei mathematischen Aufgaben wie im folgenden Onboarding-Beispiel eines Versicherungsunternehmens deutlich bessere M\u00f6glichkeiten f\u00fcr den KI-Einsatz. <\/span><\/p>\n

 <\/p>\n

https:\/\/kauz.ai\/wp-content\/uploads\/2024\/09\/onboarding-video-englisch.mp4<\/a><\/video><\/div>\n

<\/h3>\n

Our forecast: More diverse LLM products<\/b><\/h3>\n

This time, the release of o1 does not impress with killer features like its predecessors. <\/span>previous models<\/span><\/a>but is of significantly greater practical relevance. When adapting LLMs for customer applications, a variety of challenges are encountered: The trend is towards smaller, specialized models with powerful LLMs such as OpenAI as a basis. OpenAI\u2019s o1 already meets this reality to some extent.<\/span><\/p>\n

\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>

<\/span><\/span><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>
<\/span><\/span><\/span><\/span><\/div><\/div>

Now exclusively: Test OpenAI o1!<\/span>Want to get hands-on experience with the new GPT model? <\/span><\/span><\/h1><\/header>
Schedule a consultation now! <\/span><\/a><\/div>
<\/span><\/span><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><\/p>\n","protected":false},"excerpt":{"rendered":"

Our AI chatbots have made tremendous progress with the introduction of the first large language models (LLMs), initially due to the exponential increase in natural conversational abilities and later through the use of RAG (Retrieval-Augmented Generation) to tailor the LLMs to specific use cases.<\/p>\n","protected":false},"author":14,"featured_media":14479,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[60],"tags":[],"class_list":["post-16112","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","article-list-item","animate"],"acf":[],"ab_tests":{"titles":{"started":false,"start_time":1777631881000,"end_time":1780223881000,"traffic_percentage":35,"variant_traffic_percentage":[],"paused":true,"ended":false,"results":{"timestamp":0,"winning":null,"winner":null,"aggs":[],"variants":[]}},"featured_images":{"started":false,"start_time":1777631881000,"end_time":1780223881000,"traffic_percentage":35,"variant_traffic_percentage":[],"paused":true,"ended":false,"results":{"timestamp":0,"winning":null,"winner":null,"aggs":[],"variants":[]}}},"ab_test_titles":[],"ab_test_featured_images":[],"yoast_head":"\nOpenAI o1: AI progress through LLM updates - Kauz<\/title>\n<meta name=\"description\" content=\"Our AI chatbots have made great progress thanks to Large Language Models (LLMs). 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