Nhungamiro yehunyanzvi

Episodic uye Semantic Agent Memory

AI vamiririri vanoda mhando mbiri dzenguva refu yekuyeuka: episodic ndangariro yezvakaitika zvakapfuura uye semantic memory yezvakawanda chokwadi.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reEpisodic uye Semantic Agent Memory
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

Yakakweretwa kubva kupfungwa dzevanhu, kupatsanurwa uku kunoita kuti vamiririri vayeuke zvakaitika uye vazive chokwadi.

Kudzika Kwakadzika

Muenzaniso wemutauro wega hauna chimiro: kana hurukuro ikangopfuura nepahwindo remukati, inokanganwa. Kuvaka maajenti anorambira mukati mezvikamu, vagadziri vanowedzera ndangariro dzekunze dzakafemerwa nekuziva kwevanhu. Episodic memory inochengetera zvakati, nguva-yakadhindwa zviitiko ("neChipiri mushandisi akati vanoda misangano yemangwanani"), nepo semantic memory zvitoro zvakanyungudutswa, ruzivo rwese ("uyu mushandisi imuriwo"). Mukuita izvi zvinochengetwa muvector dhatabhesi uye zvitoro zvakarongeka. Kana mumiririri achifanira kuita, inobvunza ndangariro, inotora zvinhu zvakanyanya kukosha, uye inozviisa mukukurumidza. Nekufamba kwenguva, zvikamu zvinodzokororwa zvinobatanidzwa kuita yakagadzikana semantic chokwadi, kuratidza kuti vanhu vanoshandura sei zviitiko kuita ruzivo.

Kuitwa muNyika yeChokwadi

Mubatsiri wekukodha achirangarira kuti purojekiti yako inoshandisa TypeScript uye yako yaunofarira yekuyedza chimiro mukati mezvikamu

Mutengi-rutsigiro bot achirangarira chaiyo yapfuura tikiti (episodic) uye yako account tier (semantic)

Mubatsiri wega anosimbisa vazhinji "Ndaive nesalad" anotaura mune yakagadzikana chokwadi chekuti iwe uri wezvinomera.

Mushandi wekutsvaga anochengeta zvakawanikwa kubva mumivhunzo yekutanga kuti asadzokorore tsvakiridzo pawebhu

Ramangwana reEpisodic uye Semantic Agent Memory

Memory iri kuita mutsauko kune wega AI vabatsiri. Tarisira zvimiro zvendangariro zvakaenzana zvinorarama mumapurogiramu ese, mitemo yekukanganwa zvine hungwaru inochekerera zvinyorwa zvechinyakare kana zvakaderera, uye ndangariro dzemaitiro dzinochengeta hunyanzvi hunogona kushandiswazve, kwete chokwadi chete. Kuvanzika uye kutonga kwemushandisi kuchave pakati: vanhu vachada kuongorora, kugadzirisa, uye kudzima zvinoyeukwa nemumiririri. Tsvagiridzo iri kubata zvakare kupokana kwendangariro, uko ruzivo rutsva runofanira kukurira zvitendero zvechinyakare pasina kudzima nhoroondo inobatsira.

Kuzvishandisa

Nei zvichikosha

  • Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
  • Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
  • Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.

Chenjera

  • Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
  • Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
  • Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.

Matanho anotevera

  1. Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
  2. Benchmark pasi pechokwadi mutoro uye data mamiriro.
  3. Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
  4. Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.

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 Episodic and Semantic Agent Memory 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

Chii chinonzi Episodic uye Semantic Agent Memory?

AI vamiririri vanoda mhando mbiri dzenguva refu yekuyeuka: episodic ndangariro yezvakaitika zvakapfuura uye semantic memory yezvakawanda chokwadi. Yakakweretwa kubva kupfungwa dzevanhu, kupatsanurwa uku kunoita kuti vamiririri vayeuke zvakaitika uye vazive chokwadi.

Ndeupi musiyano uripo pakati peepisodic uye semantic memory muAI mumiriri?

Episodic memory inobata nguva-yakadhindwa zviitiko chaizvo, nepo semantic ndangariro inobata zvakarukwa zvakazara chokwadi, kuratidza musiyano wevanhu.

What limitation applies to a language model without an external memory or retrieval system?

The guide’s claim concerns a model on its own; an application can add external memory that persists and is retrieved separately.

Ndangariro dzinowanzochengetwa sei kuti dzidzorerwe nekukurumidza?

Chinyorwa chinoshandurwa kuita embedding vectors uye kuchengetwa mune vector dhatabhesi, ichigonesa kufanana-kwakavakirwa kutarisa.

Panguva yekubvunza, mumiririri anowana sei ndangariro dzakakodzera?

Mumiririri anonyudza mamiriro azvino uye anotora mavheta akachengetwa ari padyo, kazhinji necosine kufanana.

Ko 'kubatanidza' kunoitei kundangariro yemumiririri?

Consolidation inopfupikisa akawanda ane hukama episodic episodic mune yakagadzikana chokwadi, ichidzikisa kuungana uye kupokana, senge vanhu vanogadzira ruzivo kubva pane zvakaitika.