Rangahau

Pātengi Raraunga Semantics a Clevi

Ina whakamahia a AI ki ngā mahi tūturu, ko tētahi o ngā tino āwangawanga ko te āhuatanga o te wareware kino (Catastrophic Forgetting) ka puta ina whakangungua anō ngā mōhiotanga kua akona i mua mā te whakamahi i ngā raraunga hou.

1. Ngā here o Catastrophic Forgetting me RAG

Ina whakamahia a AI ki ngā mahi tūturu, ko tētahi o ngā tino āwangawanga ko te āhuatanga o te wareware kino (Catastrophic Forgetting) ka puta ina whakangungua anō ngā mōhiotanga kua akona i mua mā te whakamahi i ngā raraunga hou.

Ko te āhuatanga tēnei ka ngaro ohorere ai ngā mōhiotanga me ngā tauira i akona i mua, i te wā e ako ana te AI e hāngai ana ki te whatunga neura i ngā pārongo hou.

Hei tauira, mēnā ka whakangungua anō tētahi LLM puna-tuwhera mā ngā raraunga o tētahi kamupene, ka heke pea ngā mōhiotanga whānui me ngā āheinga reo.

Hei karo i tēnei raruraru, he whānui te whakamahinga o te hangarau RAG(Retrieval-Augmented Generation), engari he here anō tō RAG.

Atahanga o te tuhinga matua

Ngā here matua o RAG

  • He iti te tukatuka raraunga hanganga (Structured Data QA): He mea tino arotau ngā pūnaha RAG ki ngā tuhinga kuputuhi kāore he hanganga, nō reira kāore e taea e rātou te mārama tika, te whakamahi rānei i ngā tikanga me ngā hononga o ngā raraunga hanganga (pērā i ngā tēpu, pātengi raraunga, ripanga horahanga me ērā atu).
  • Ngā here mō ngā PDF matatini/tuhinga kāore he hanganga (Complex PDFs): Mō ngā tuhinga PDF matatini (pērā i ngā tēpu, ngā pou maha, ngā whakaahua me ērā atu), ka ngaro pea ngā mōhiohio, ka whakarerekēhia rānei te horopaki i te wā o te chunking (wehewehe). Nā konei, kāore pea ngā raraunga hira e taupūtia, ka uaua rānei te rapu.
  • Kāore he tauira Fallback (Fallback Model(s)): Ina kore e kitea e te pūnaha RAG he whakautu tika, he ngoikore, he koretake rānei te arorau mō te whakawhiti ki tētahi tauira kē (tautoko). Nā konei, ina rahua te whakautu, kāore pea e tukuna he kōwhiringa kē e pai ai te kaiwhakamahi.
  • Ngā whakaraeraetanga haumarutanga (LLM Security): He ngoikore pea ngā parepare ki ngā whakaraeraetanga haumarutanga o te LLM ake (pērā i te weronga tohutohu, te turuturu raraunga me ērā atu), ka tūpono ai te puta o ngā mōhiohio tairongo.
  • He iti te whakawhānuitanga (Data Ingestion Scalability): Ka puta ngā raru whakawhānui i te wā e taupūtia ana, e penapenatia ana ngā raraunga nui. Ka nui haere ngā raraunga, ka pōturi haere te chunking, te penapena me te rapu, ā, ka piki ake te kawenga o te pūnaha.
  • Kua ngaro ngā mōhiohio hira (Missing Content): He maha ngā wā ka ngaro ngā kōrero hira i te tuhinga i te wā o te chunking, kāore rānei e taupūtia. Nā konei, kāore e taea e te kaiwhakamahi te rapu i ngā mōhiohio e hiahiatia ana.
  • Kua ngaro te tūranga teitei (Missed Top Ranked): Tērā pea ka ngaro te chunk (tūranga teitei) e tino hāngai ana i roto i ngā hua rapu. Ko ngā take pea ko ngā here o te hātepe rapu, te hekenga o te kounga embedding, me ngā hapa whakarārangi.
  • Kāore e hāngai ana te horopaki (Not in Context): He maha ngā wā kāore te chunk i rapua e hāngai ana ki te horopaki tūturu o te pātai. Nā ngā here o te rapu e ahu ana ki te ōritetanga noa, he iti te hononga ā-kaupapa.
  • Hē te hōputu (Wrong Format): Tērā pea kāore te hōputu o te chunk i rapua e tika ana mā te LLM e tukatuka, kāore rānei e rite ki te hōputu whakautu e hiahia ana te kaiwhakamahi. Hei tauira, ka hē pea ngā mōhiohio ina hurihia he tēpu hei kuputuhi.
  • Kāore i taea te tango mōhiohio (Not Extracted): Tērā pea kāore ngā mōhiohio e hiahiatia ana e tika ana te tango mai i te chunk, kāore rānei te LLM e mōhio ki aua mōhiohio. He maha ake te puta o tēnei i ngā hanganga rerenga kōrero matatini, ngā tēpu, ngā whakaahua me ērā atu.
  • Kāore e tika ana te whānui/hōhonu o ngā mōhiohio (Incorrect Specificity): Tērā pea he whānui rawa te whakautu mō te pātai, he tino taipitopito rawa rānei, ā, kāore e hāngai ana ki ngā hiahia tūturu o te kaiwhakamahi. He uaua te whakatika i te whānui me te hōhonu o ngā mōhiohio.
  • He whakautu kāore i oti (Incomplete): I te mutunga, tērā pea kāore i oti te whakautu i hangaia, he wāhanga mōhiohio noa iho rānei ka tukuna, kāore e tino whakatutuki ana i ngā hiahia o te kaiwhakamahi. Ko ngā take pea ko te kore e whakakotahi i ngā mōhiohio mai i ngā chunk maha, ko te whakamahi wāhanga noa iho rānei a te LLM.

Nā te tino whakawhirinaki o RAG ki te rapu ōritetanga vector me te taupū e hāngai ana ki ngā chunk, ka tino kitea ōna herenga i roto i ngā mahi tūturu mō te pono, te whakawhānui, me te tika.

2. Te Pātengi Raraunga Semantic a CLEVI kua whakakore i ngā herenga o RAG

Hei whakakore i ēnei herenga, kua whakawhanakehia e CLEVI te hanganga mātauranga AI o te reanga hou, arā, te hononga ā-hinengaro, te whakaaroaro matatini, me ngā whakautu e takea ana i ngā taunakitanga, kua arotakengia mō te Clevi Semantic Database.

He otinga ka taea nā te mea kei a ia ake ngā tauira Reasoning, ngā AI multimodal, me ngā tauira AI momo kaihoko katoa; ā, koinei tētahi o ngā hangarau kaha motuhake a CLEVI e taea ai e AI te tino āwhina i te ao tūturu.

Hei whakataurite, mēnā he whare pukapuka te pātengi raraunga e penapena ana i ngā mōhiohio, whakaarohia ko te Pātengi Raraunga Semantic a CLEVI he kaipupuri pukapuka tino matatau. (Mēnā ka tono koe i ngā mōhiohio e hiahiatia ana ki te kaipupuri pukapuka, ka whiwhi koe i tētahi whakautu tika, tere hoki.)

Ka taea e ngā kaiwhakamahi te tāpiri mōhiohio hou ki te whare pukapuka me te tiki mai i ngā mōhiohio e hiahiatia ana i ngā wā katoa.

Ka taea hoki te whakarite i te whakahaere putanga o ngā raraunga me ngā whakaaetanga uru kia rite ki tāu e hiahia ai.

Ka tuhia ngā mahi katoa a te kaipupuri pukapuka hei rangitaki (pūrongo), nō reira, ahakoa ka puta he hapa, ka taea te whakatika.

Atahanga matua

<Clevi Semantic Database Structure>

Ngā āhuatanga matua me te hanganga hangarau

Te penapena raraunga ā-hinengaro

  • Kāore i te mea he vectorDB chunk noa iho; ka penapenahia ngā hononga ā-hinengaro i waenga i ngā raraunga (te horopaki, te arorangi, te take me te pānga, me ērā atu) ki roto i te pātengi raraunga kauwhata
  • He ngāwari te whakawhānui me te whakapai ake hei kauwhata mātauranga, hei whatunga semantic hoki

Te rapu me te whakaaroaro ranu

  • CTA+Context Query: Ka whakaarohia tahitia te horopaki (Context) o te pātai me te CTA
  • Hybrid Retrieval: Ka whakakotahitia te ōritetanga vector me te rapu e hāngai ana ki ngā ture/kauwhata
  • Intelligent Folder Hits: Ka rapua aunoa ngā kōpaki/kāwai e whai hononga ā-hinengaro ana

Te tukatuka multimodal tukutahi

  • TextReader Pool, VisionReader Pool me ērā atu: ka whakamāramahia tahitia ngā momo raraunga pēnei i te kuputuhi, ngā atahanga, ngā ripanga, me te reo
  • Ahakoa ko te RAG o mua te nuinga ka taea anake te tukatuka kuputuhi, he tino kaha te Pātengi Raraunga Semantic ki te tukatuka multimodal

Ngā whakautu e takea ana i ngā taunakitanga me te manatoko pono

  • Ngā Whakarāpopototanga Tuhinga me ngā Tohutoro, Ngā Kitenga Ripanga: te hanga aunoa i ngā whakarāpopototanga me ngā puna
  • Merge & Verify: te whakakotahi ā-kaupapamaha i ngā pārongo mai i ngā puna maha me te manatoko i te whaitikanga
  • Evidence Pack: te whakarato i tētahi pūhera whakautu e tūāpapa ana ki ngā taunakitanga

Te Whakaaro Matatini me te Kaiwhakamahere

  • Planner/DAG: he mahere ā-taahiraa me te whakaaroaro e tūāpapa ana ki te DAG (Directed Acyclic Graph) mō ngā pātai matatini

Te Hanganga Āpiha Kōmitimiti

  • cip-5-agent Supervisor: te āpiha taumata tiketike e whakahaere ana, e whakarite ana i te tukanga rapu, whakaaroaro me te kōmitimiti katoa
Atahanga matua

3. Whakarāpopototanga me te Whakatauritenga o te Hanganga

Hei whakarāpopoto, ka whiwhi te Semantic DB i ngā momo raraunga maha (reo, kuputuhi, atahanga, ataata, me ērā atu), ā, kāore e whakarōpū ana i te mātauranga hei Chunk noa iho, engari ka hono hoki i ngā hononga ā-kaupapamaha i waenga i ngā raraunga (horopaki, arawhata, pūtake me te pānga, me ērā atu).

Nā runga i tēnei, kāore e rapu, e whakaaroaro pēnei i te RAG mā te whakamahi i ngā kupumatua, i te ōrite rānei, engari mā te whakamahi i ngā hononga ā-kaupapamaha, nā reira ka taea e AI te whakarato i ngā pārongo rapu me ngā whakautu tika ake.

Nā te mea ka penapenahia hei kauwhata mātauranga, hei whatunga ā-kaupapamaha hoki, he ngāwari ake te whakawhānui me te whakakī tonu.

Kua kitea e CLEVI ngā herenga o ngā pūnaha RAG i te wā o te hurihanga nui ki AI, ā, mā tētahi pātengi raraunga ā-kaupapamaha me ā mātou ake tauira AI e taea ai e mātou te whakautu tere atu ki ngā kiritaki me ngā raraunga tika ake, pono ake hoki.

Ka taea e te pūnaha AI a CLEVI te whakangao i ngā raraunga whai tikanga a ngā kiritaki, ahakoa te taiao, ahakoa te momo rohe.

Hei ngā rā kei te heke mai, ka whakapau kaha tonu a CLEVI ki te whakanui ake i te uara o ngā raraunga a ngā kiritaki me te whakarato i ngā wheako AI auaha.

Nau mai, kia wheako tahi tātou i te anamata hou o AI me CLEVI.

He pātai me te tono whakaaturanga: [email protected]

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Pātengi Raraunga Semantics a Clevi — CLEVI