Makambani GUIDE

Imbue Reasoning Agents

Imbue iAI lab kuvaka vamiririri vanogona kufunga, kodhi, uye kuita zvakasimba zvakakwana kuti vavimbwe nemabasa chaiwo.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reImbue Reasoning Agents
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

It matters because reliability — not just raw intelligence — is the bottleneck stopping AI agents from doing useful multi-step work without constant supervision.

Kudzika Kwakadzika

Imbue, formerly known as Generally Intelligent, is led by CEO Kanjun Qiu and raised over 200 million dollars in 2023 at a roughly one-billion-dollar valuation, backed by investors including Nvidia. Rather than chasing the biggest possible model, Imbue focuses on agents that reason reliably and can verify their own work. The company famously trained a 70-billion-parameter model from scratch on its own compute cluster and published unusually detailed engineering notes about the experience. One engineering post describes the training cluster used for that run as 4,088 H100 GPUs across 511 computers. Its research emphasizes reasoning, robustness, and tools that let agents check whether their actions actually succeeded. The long-term goal is personal AI agents people can trust to handle consequential tasks, with an explicit emphasis on user agency and verifiability rather than opaque automation.

Kuitwa muNyika yeChokwadi

Mumiririri anonyora kodhi, anomhanyisa bvunzo suite, anoverenga zvakundikana, uye anogadzirisa tsikidzi dzake asati adzosera basa.

Mubatsiri wekutsvagisa anotyora chikumbiro chisina kujeka mumibvunzo midiki, anounganidza humbowo, uye anosimbisa chawanikwa chega chega pane kufungidzira.

Mumiriri wega wega anodhirowa nekuyananisa hurongwa hwakaoma hwematanho akawanda, achiisa mureza paasina chokwadi uye anoda kusaina kwevanhu.

Yemukati tooling inoita kuti mumiririri asimbise kana chiito chega chega chakanyatso shandura mamiriro ehurongwa, panzvimbo yekufungidzira kubudirira.

Ramangwana reImbue Reasoning Agents

Muganhu wevamiririri uri kufamba kubva kune imwe-pfuti mhinduro kuenda kurefu-yepamusoro-soro kuvimbika: vamiririri vanoronga, vanoita mumatanho akawanda, vanopora kubva mukukanganisa, uye vanoziva nguva yekubvunza munhu. Tarisira kusimbiswa kwakawanda pakusimbisa, kushandiswa kwechishandiso chejecha, uye pachena kuitira kuti vashandisi vakwanise kuongorora zvakaitwa nemumiririri. Kana maLab akaita seImbue akabudirira, vamiririri vemunhu vanovimbika vanogona kubata tsvakiridzo, kukodha, uye mabasa ekutonga, asi chikamu chakaoma chinoramba chichidzivirira zvikanganiso zvekuzvivimba pane zvakakosha zviito.

Kuzvishandisa

Nei zvichikosha

  • Nzira yemutengesi. Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
  • Mutengo uye bhajeti. Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
  • Ngozi uye kuchengeteka. Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.

Chenjera

  • Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
  • Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
  • Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.

Matanho anotevera

  1. Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
  2. Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
  3. Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
  4. Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the Imbue Reasoning Agents quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

What is Imbue Reasoning Agents?

Imbue iAI lab kuvaka vamiririri vanogona kufunga, kodhi, uye kuita zvakasimba zvakakwana kuti vavimbwe nemabasa chaiwo. Izvo zvine basa nekuti kuvimbika - kwete kungoita hungwaru - ndiko kumisa maAI vamiririri kuita basa rinobatsira rematanho akawanda pasina kutariswa nguva dzose.

Imbue aimbonzi chii?

Imbue aimbozivikanwa seGenerally Intelligent asati atangazve.

Chii chinopokana naImbue kuti ndiyo bhodhoro rakakosha revashandi veAI vanobatsira?

Imbue anosimbisa kuti vamiririri vanofanirwa kufunga zvine kuvimbika uye kuona kuti basa ravo rivimbike nemabasa chaiwo.

Ndechipi chinocherechedzwa cheinjiniya chakaitwa naImbue?

Imbue akadzidzisa 70B-parameter modhi kubva kutanga uye akaburitsa zvakadzama zvinyorwa nezve basa rezvivakwa.

Zvinorevei kuti mumiririri 'avhare loop'?

Kuvhara loop kunoreva kuita chiito, kutarisa mhedzisiro chaiyo, uye kugadzirisa nzira kana yatadza.

Ndeipi kambani huru yehardware yaive pakati pevatsigiri veImbue?

Nvidia aive mumwe wevanoisa mari muImbue's 2023 mari yekutenderera.