{"id":11404,"date":"2026-10-04T00:46:29","date_gmt":"2026-10-04T00:46:29","guid":{"rendered":"https:\/\/bitep.net\/blog\/2026\/10\/04\/crescendoai\/"},"modified":"2026-10-04T00:46:29","modified_gmt":"2026-10-04T00:46:29","slug":"crescendoai","status":"publish","type":"post","link":"https:\/\/bitep.net\/blog\/2026\/10\/04\/crescendoai\/","title":{"rendered":"crescendo.ai"},"content":{"rendered":"<h2>M\u00fc\u0259ssis\u0259l\u0259rin Yeni D\u00f6vran\u0131: Crescendo.ai v\u0259 Muxtar S\u00fcni \u0130ntellekt Agentl\u0259rinin Y\u00fcks\u0259li\u015fi<\/h2>\n<p>M\u00fcasir korporativ m\u00fchitd\u0259 generativ s\u00fcni intellekt sad\u0259 m\u0259tn generatoru v\u0259 ya \u00e7at-bot rolundan \u00e7\u0131xaraq, biznes \u0259m\u0259liyyatlar\u0131n\u0131 miqyasland\u0131ran \u0259sas h\u0259r\u0259k\u0259tverici q\u00fcvv\u0259y\u0259 \u00e7evrilir. Crescendo.ai v\u0259 ox\u015far agent platformalar\u0131n\u0131n formala\u015fd\u0131rd\u0131\u011f\u0131 bu yeni ekosistemd\u0259 \u015firk\u0259t r\u0259hb\u0259rl\u0259rinin m\u00fctl\u0259q \u0259ks\u0259riyy\u0259ti muxtar agentl\u0259ri (AI Agents) \u0259m\u0259liyyat x\u0259rcl\u0259rini optimalla\u015fd\u0131ran v\u0259 i\u015f ax\u0131nlar\u0131n\u0131 avtomatla\u015fd\u0131ran \u0259n vacib strateji element kimi qiym\u0259tl\u0259ndirirl\u0259r. \u018fvv\u0259lki n\u0259sill\u0259rd\u0259n f\u0259rqli olaraq, bu agentl\u0259r sad\u0259c\u0259 veril\u0259n suallara cavab vermir; q\u0259rarlar q\u0259bul edir, veril\u0259nl\u0259r bazalar\u0131n\u0131 analiz edir, xarici API-l\u0259rl\u0259 \u0259laq\u0259 qurur v\u0259 m\u00fcr\u0259kk\u0259b tap\u015f\u0131r\u0131qlar\u0131 m\u00fcst\u0259qil \u015f\u0259kild\u0259 icra edirl\u0259r.<\/p>\n<h2>Elmi T\u0259dqiqatlarda Superhesablama: \u018fcza\u00e7\u0131l\u0131q v\u0259 Molekulyar Modell\u0259\u015fdirm\u0259<\/h2>\n<p>S\u00fcni intellektin \u0259n b\u00f6y\u00fck s\u0131\u00e7ray\u0131\u015f yaratd\u0131\u011f\u0131 sah\u0259l\u0259rd\u0259n biri elmi laboratoriyalard\u0131r. X\u00fcsusil\u0259 \u0259cza\u00e7\u0131l\u0131q (farma) sektorunda s\u00fcni intellekt art\u0131q k\u0259nar yard\u0131m\u00e7\u0131 al\u0259t deyil, t\u0259dqiqat\u00e7\u0131 il\u0259 b\u0259rab\u0259rh\u00fcquqlu muxtar elmi t\u0259r\u0259fda\u015f kimi \u00e7\u0131x\u0131\u015f edir. \u018fn\u0259n\u0259vi laboratoriya s\u0131naqlar\u0131 ill\u0259rl\u0259 vaxt v\u0259 milyardlarla dollar s\u0259rmay\u0259 t\u0259l\u0259b etdiyi halda, qabaqc\u0131l superhesablama platformalar\u0131 bu prosesi aylar, h\u0259tta h\u0259ft\u0259l\u0259r s\u0259viyy\u0259sin\u0259 endirir.<\/p>\n<p>Bunun \u0259n bariz n\u00fcmun\u0259l\u0259rind\u0259n biri <strong>Eli Lilly<\/strong> \u015firk\u0259tinin minl\u0259rl\u0259 y\u00fcks\u0259k performansl\u0131 NVIDIA Blackwell Ultra GPU-lar\u0131 il\u0259 t\u0259chiz edilmi\u015f <em>LillyPod<\/em> superkomp\u00fcteridir. Bu sisteml\u0259r a\u015fa\u011f\u0131dak\u0131 texniki \u00fcst\u00fcnl\u00fckl\u0259ri t\u0259min edir:<\/p>\n<ul>\n<li><strong>Paralel Molekulyar Simulyasiya:<\/strong> Eyni anda milyardlarla molekulyar f\u0259rziyy\u0259nin simulyasiyas\u0131 apar\u0131l\u0131r, z\u00fclal-liqand birl\u0259\u015fm\u0259l\u0259ri v\u0259 kimy\u0259vi sabitlik r\u0259q\u0259msal m\u00fchitd\u0259 y\u00fcks\u0259k d\u0259qiqlikl\u0259 hesablan\u0131r.<\/li>\n<li><strong>D\u0259rman K\u0259\u015ffinin S\u00fcr\u0259tl\u0259ndirilm\u0259si:<\/strong> Potensial d\u0259rman molekullar\u0131n\u0131n sintezi \u00fc\u00e7\u00fcn \u0259n uy\u011fun namiz\u0259dl\u0259r virtual olaraq s\u00fczg\u0259cd\u0259n ke\u00e7irilir, bu da laboratoriya m\u0259rh\u0259l\u0259sin\u0259 ke\u00e7\u0259n u\u011furlu birl\u0259\u015fm\u0259l\u0259rin faizini k\u0259skin art\u0131r\u0131r.<\/li>\n<li><strong>Genomik Analiz:<\/strong> M\u00fcr\u0259kk\u0259b x\u0259st\u0259likl\u0259rin patogenezind\u0259 rol oynayan genetik mutasiyalar d\u0259rin \u00f6yr\u0259nm\u0259 modell\u0259ri vasit\u0259sil\u0259 a\u015fkarlanaraq f\u0259rdil\u0259\u015fdirilmi\u015f m\u00fcalic\u0259 protokollar\u0131 yarad\u0131l\u0131r.<\/li>\n<\/ul>\n<h2>A\u00e7\u0131q \u00c7\u0259kili (Open-Weight) Ekosistem v\u0259 M\u0259lumat M\u0259xfiliyi<\/h2>\n<p>Elmi v\u0259 korporativ m\u00fchitd\u0259 dig\u0259r \u0259h\u0259miyy\u0259tli transformasiya a\u00e7\u0131q \u00e7\u0259kili (open-weight) modell\u0259rin inki\u015faf\u0131d\u0131r. Beyn\u0259lxalq t\u0259dqiqat m\u0259rk\u0259zl\u0259ri v\u0259 a\u00e7\u0131q m\u0259nb\u0259li laboratoriyalar t\u0259r\u0259find\u0259n burax\u0131lan y\u00fcks\u0259k parametrli modell\u0259r s\u00fcni intellektin g\u00fcc\u00fcn\u00fc m\u0259rk\u0259zl\u0259\u015fdirilmi\u015f n\u0259h\u0259ng korporasiyalar\u0131n inhisar\u0131ndan \u00e7\u0131xararaq demokratikl\u0259\u015fdirir.<\/p>\n<p>Bu arxitekturan\u0131n m\u00fc\u0259ssis\u0259l\u0259r \u00fc\u00e7\u00fcn yaratd\u0131\u011f\u0131 strateji \u00fcst\u00fcnl\u00fckl\u0259r:<\/p>\n<ul>\n<li><strong>Lokal \u0130nteqrasiya v\u0259 \u0130nc\u0259 T\u0259nziml\u0259m\u0259 (Fine-Tuning):<\/strong> \u015eirk\u0259tl\u0259r bu modell\u0259ri \u00f6z daxili serverl\u0259rind\u0259 (on-premise) v\u0259 ya t\u0259hl\u00fck\u0259siz bulud klasterl\u0259rind\u0259 x\u00fcsusi korporativ m\u0259lumatlarla yenid\u0259n \u00f6yr\u0259d\u0259 bilirl\u0259r.<\/li>\n<li><strong>Requlyativ Uy\u011funluq v\u0259 T\u0259hl\u00fck\u0259sizlik:<\/strong> GDPR, HIPAA v\u0259 regional m\u0259lumat qorunmas\u0131 t\u0259l\u0259bl\u0259rin\u0259 \u0259sas\u0259n, h\u0259ssas tibbi v\u0259 ya maliyy\u0259 m\u0259lumatlar\u0131n\u0131n \u00fc\u00e7\u00fcnc\u00fc t\u0259r\u0259f API provayderl\u0259rin\u0259 g\u00f6nd\u0259rilm\u0259si qada\u011fand\u0131r. A\u00e7\u0131q \u00e7\u0259kili modell\u0259r m\u0259lumatlar\u0131n t\u0259\u015fkilat\u0131n daxili perimetrind\u0259n \u00e7\u0131xmamas\u0131n\u0131 t\u0259min edir.<\/li>\n<li><strong>X\u0259rcl\u0259rin \u0130dar\u0259olunmas\u0131:<\/strong> Y\u00fcks\u0259k sor\u011fu h\u0259cml\u0259rind\u0259 proprietary API x\u0259rcl\u0259ri il\u0259 m\u00fcqayis\u0259d\u0259 daxili infrastrukturda i\u015fl\u0259y\u0259n optimalla\u015fd\u0131r\u0131lm\u0131\u015f modell\u0259r \u0259h\u0259miyy\u0259tli d\u0259r\u0259c\u0259d\u0259 q\u0259na\u0259t g\u0259tirir.<\/li>\n<\/ul>\n<h2>Texniki T\u0259tbiq: A\u00e7\u0131q \u00c7\u0259kili Modelin vLLM il\u0259 Yerli Serverd\u0259 Qald\u0131r\u0131lmas\u0131 v\u0259 Agent \u0130nteqrasiyas\u0131<\/h2>\n<p>A\u00e7\u0131q \u00e7\u0259kili modeli t\u0259dqiqat v\u0259 ya m\u00fc\u0259ssis\u0259 agenti \u00fc\u00e7\u00fcn y\u00fcks\u0259k m\u0259hsuldarl\u0131ql\u0131 xidm\u0259t kimi yerl\u0259\u015fdirm\u0259k m\u0259qs\u0259dil\u0259 <code>vLLM<\/code> m\u00fch\u0259rrikind\u0259n istifad\u0259 \u0259n effektiv \u00fcsullardan biridir. A\u015fa\u011f\u0131dak\u0131 add\u0131mlarla TensorRT v\u0259 ya PagedAttention texnologiyas\u0131ndan istifad\u0259 ed\u0259r\u0259k modeli OpenAI standartlar\u0131na uy\u011fun API kimi konfiqurasiya etm\u0259k m\u00fcmk\u00fcnd\u00fcr.<\/p>\n<h3>1. Virtual M\u00fchitin Haz\u0131rlanmas\u0131 v\u0259 As\u0131l\u0131l\u0131qlar\u0131n Qura\u015fd\u0131r\u0131lmas\u0131<\/h3>\n<p>\u018fvv\u0259lc\u0259 Linux \u0259sasl\u0131 GPU serverind\u0259 laz\u0131mi paketl\u0259ri t\u0259min edirik:<\/p>\n<pre><code class=\"language-bash\"># Virtual m\u00fchitin yarad\u0131lmas\u0131 v\u0259 aktivl\u0259\u015fdirilm\u0259si\npython3 -m venv ai_agent_env\nsource ai_agent_env\/bin\/activate\n\n# CUDA d\u0259st\u0259kli vLLM v\u0259 k\u00f6m\u0259k\u00e7i kitabxanalar\u0131n qura\u015fd\u0131r\u0131lmas\u0131\npip install --upgrade pip\npip install vllm ray huggingface_hub<\/code><\/pre>\n<h3>2. Modelin vLLM Serveri Kimi \u0130\u015f\u0259 Sal\u0131nmas\u0131<\/h3>\n<p>B\u00f6y\u00fck dil modelini lokal GPU klasterind\u0259 (m\u0259s\u0259l\u0259n, 2 \u0259d\u0259d A100 v\u0259 ya L40S) paylanm\u0131\u015f \u015f\u0259kild\u0259 i\u015f\u0259 salmaq \u00fc\u00e7\u00fcn a\u015fa\u011f\u0131dak\u0131 \u0259mrd\u0259n istifad\u0259 olunur:<\/p>\n<pre><code class=\"language-bash\"># Modelin OpenAI-uy\u011fun API kimi qald\u0131r\u0131lmas\u0131\npython3 -m vllm.entrypoints.openai.api_server \\\n    --model mistralai\/Mistral-Large-Instruct-2407 \\\n    --tensor-parallel-size 2 \\\n    --max-model-len 8192 \\\n    --host 0.0.0.0 \\\n    --port 8000 \\\n    --gpu-memory-utilization 0.90 \\\n    --trust-remote-code<\/code><\/pre>\n<h3>3. Muxtar Agent Sor\u011fusunun Test Edilm\u0259si<\/h3>\n<p>Server i\u015f\u0259 d\u00fc\u015fd\u00fckd\u0259n sonra agent sisteml\u0259ri (m\u0259s\u0259l\u0259n, Crescendo.ai arxitekturas\u0131) lokal API-y\u0259 asinxron sor\u011fular g\u00f6nd\u0259r\u0259 bil\u0259r:<\/p>\n<pre><code class=\"language-bash\">curl -X POST http:\/\/localhost:8000\/v1\/chat\/completions \\\n  -H \"Content-Type: application\/json\" \\\n  -d '{\n    \"model\": \"mistralai\/Mistral-Large-Instruct-2407\",\n    \"messages\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"S\u0259n elmi laboratoriya \u00fc\u00e7\u00fcn ixtisasla\u015fm\u0131\u015f molekulyar biologiya k\u00f6m\u0259k\u00e7isis\u0259n.\"\n      },\n      {\n        \"role\": \"user\",\n        \"content\": \"Onkoloji biomarkerl\u0259rin a\u015fkarlanmas\u0131nda istifad\u0259 olunan yeni peptid birl\u0259\u015fm\u0259l\u0259rinin sabitliyini nec\u0259 optimalla\u015fd\u0131rmaq olar?\"\n      }\n    ],\n    \"temperature\": 0.2,\n    \"max_tokens\": 1024\n  }'<\/code><\/pre>\n<h2>\u018fn\u0259n\u0259vi Metodlar v\u0259 S\u00fcni \u0130ntellekt D\u0259st\u0259kli Superhesablama<\/h2>\n<p>A\u015fa\u011f\u0131dak\u0131 m\u00fcqayis\u0259 c\u0259dv\u0259li korporativ v\u0259 elmi m\u00fchitd\u0259 \u0259n\u0259n\u0259vi hesablama yana\u015fmalar\u0131 il\u0259 s\u00fcni intellekt superkomp\u00fcterl\u0259rinin f\u0259rqini n\u00fcmayi\u015f etdirir:<\/p>\n<table>\n<thead>\n<tr>\n<th>X\u00fcsusiyy\u0259t<\/th>\n<th>\u018fn\u0259n\u0259vi Hesablama Klasterl\u0259ri<\/th>\n<th>AI \u018fsasl\u0131 Superkomp\u00fcterl\u0259r (m\u0259s. LillyPod)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Aparat T\u0259minat\u0131<\/td>\n<td>Standart CPU klasterl\u0259ri, m\u0259hdud GPU<\/td>\n<td>Minl\u0259rl\u0259 NVIDIA Blackwell\/Hopper Ultra GPU-lar\u0131<\/td>\n<\/tr>\n<tr>\n<td>F\u0259rziyy\u0259l\u0259rin Yoxlanma S\u00fcr\u0259ti<\/td>\n<td>Ard\u0131c\u0131l, m\u0259hdud sayda s\u0131naqlar<\/td>\n<td>Milyardlarla molekulyar f\u0259rziyy\u0259nin paralel analizi<\/td>\n<\/tr>\n<tr>\n<td>\u0130nki\u015faf D\u00f6vr\u00fc<\/td>\n<td>10-15 il (orta statistik d\u0259rman k\u0259\u015ffi)<\/td>\n<td>2-3 il\u0259 q\u0259d\u0259r endirilmi\u015f analitik m\u0259rh\u0259l\u0259<\/td>\n<\/tr>\n<tr>\n<td>M\u0259lumatlar\u0131n Emal\u0131<\/td>\n<td>Deterministik riyazi t\u0259nlikl\u0259r<\/td>\n<td>B\u00f6y\u00fck h\u0259cmli t\u0259bii dil v\u0259 kimy\u0259vi qraf modell\u0259ri<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>S\u0259naye Perspektivi v\u0259 BITEP Ekspert R\u0259yi<\/h2>\n<p>S\u00fcni intellekt agentl\u0259rinin m\u00fc\u0259ssis\u0259l\u0259r\u0259 inteqrasiyas\u0131 v\u0259 superhesablama resurslar\u0131n\u0131n elmi t\u0259dqiqatlara y\u00f6n\u0259ldilm\u0259si sad\u0259c\u0259 texnoloji yenilik deyil, iqtisadi v\u0259 elmi paradiqma d\u0259yi\u015fikliyidir. Crescendo.ai kimi sisteml\u0259rin biznes \u0259m\u0259liyyatlar\u0131n\u0131 muxtarla\u015fd\u0131rmas\u0131 i\u015f\u00e7i q\u00fcvv\u0259sini monoton prosesl\u0259rd\u0259n azad ed\u0259r\u0259k yarad\u0131c\u0131 idar\u0259etm\u0259y\u0259 y\u00f6n\u0259ldir. Dig\u0259r t\u0259r\u0259fd\u0259n, a\u00e7\u0131q \u00e7\u0259kili modell\u0259rin s\u00fcr\u0259tl\u0259 yetkinl\u0259\u015fm\u0259si \u015firk\u0259tl\u0259r\u0259 \u00f6z unikal m\u0259lumatlar\u0131n\u0131 qoruyaraq m\u00fcr\u0259kk\u0259b s\u00fcni intellekt h\u0259ll\u0259ri qurma\u011fa imkan verir.<\/p>\n<p>\u018fcza\u00e7\u0131l\u0131q v\u0259 s\u0259hiyy\u0259 sektorunda is\u0259 bu inqilab insan \u00f6mr\u00fcn\u00fcn uzad\u0131lmas\u0131 v\u0259 kritik x\u0259st\u0259likl\u0259r\u0259 qar\u015f\u0131 d\u0259rmanlar\u0131n \u0259l\u00e7atanl\u0131\u011f\u0131n\u0131n art\u0131r\u0131lmas\u0131 dem\u0259kdir. M\u00fc\u0259ssis\u0259l\u0259r \u00fc\u00e7\u00fcn \u0259n m\u00fch\u00fcm \u00e7a\u011f\u0131r\u0131\u015f is\u0259 bu yeni arxitekturalar\u0131 d\u00fczg\u00fcn infrastruktur \u00fcz\u0259rind\u0259, t\u0259hl\u00fck\u0259sizlik standartlar\u0131na cavab ver\u0259c\u0259k formada yerl\u0259\u015fdirm\u0259k v\u0259 inteqrasiya etm\u0259k olacaq.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>M\u00fc\u0259ssis\u0259l\u0259rin Yeni D\u00f6vran\u0131: Crescendo.ai v\u0259 Muxtar S\u00fcni \u0130ntellekt Agentl\u0259rinin Y\u00fcks\u0259li\u015fi M\u00fcasir korporativ m\u00fchitd\u0259 generativ s\u00fcni intellekt sad\u0259 m\u0259tn generatoru v\u0259 ya \u00e7at-bot rolundan \u00e7\u0131xaraq, biznes \u0259m\u0259liyyatlar\u0131n\u0131 miqyasland\u0131ran \u0259sas h\u0259r\u0259k\u0259tverici q\u00fcvv\u0259y\u0259 \u00e7evrilir. Crescendo.ai v\u0259 ox\u015far agent platformalar\u0131n\u0131n formala\u015fd\u0131rd\u0131\u011f\u0131 bu yeni ekosistemd\u0259 \u015firk\u0259t r\u0259hb\u0259rl\u0259rinin m\u00fctl\u0259q \u0259ks\u0259riyy\u0259ti muxtar agentl\u0259ri (AI Agents) \u0259m\u0259liyyat x\u0259rcl\u0259rini optimalla\u015fd\u0131ran v\u0259 i\u015f ax\u0131nlar\u0131n\u0131 avtomatla\u015fd\u0131ran [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11403,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11404","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/bitep.net\/blog\/wp-content\/uploads\/2026\/10\/bitep-ai-1791074784090-22.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/posts\/11404","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/comments?post=11404"}],"version-history":[{"count":0,"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/posts\/11404\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/media\/11403"}],"wp:attachment":[{"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/media?parent=11404"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/categories?post=11404"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bitep.net\/blog\/wp-json\/wp\/v2\/tags?post=11404"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}