InoteveraGaidhi rinotevera
Agent Memory Systems
Zvikumbiro
Nhungamiro yehunyanzvi
AI vamiririri vanoda mhando mbiri dzenguva refu yekuyeuka: episodic ndangariro yezvakaitika zvakapfuura uye semantic memory yezvakawanda chokwadi.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Yakakweretwa kubva kupfungwa dzevanhu, kupatsanurwa uku kunoita kuti vamiririri vayeuke zvakaitika uye vazive chokwadi.
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.
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
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.
Tsamba yemahara
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
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
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.
Episodic memory inobata nguva-yakadhindwa zviitiko chaizvo, nepo semantic ndangariro inobata zvakarukwa zvakazara chokwadi, kuratidza musiyano wevanhu.
The guide’s claim concerns a model on its own; an application can add external memory that persists and is retrieved separately.
Chinyorwa chinoshandurwa kuita embedding vectors uye kuchengetwa mune vector dhatabhesi, ichigonesa kufanana-kwakavakirwa kutarisa.
Mumiririri anonyudza mamiriro azvino uye anotora mavheta akachengetwa ari padyo, kazhinji necosine kufanana.
Consolidation inopfupikisa akawanda ane hukama episodic episodic mune yakagadzikana chokwadi, ichidzikisa kuungana uye kupokana, senge vanhu vanogadzira ruzivo kubva pane zvakaitika.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Agent Memory Systems
Zvikumbiro