15 lines
26 KiB
Plaintext
15 lines
26 KiB
Plaintext
"smart_sources:concepts/reinforcement-learning.md": {"path":"concepts/reinforcement-learning.md","last_embed":{"hash":"1997z1","at":1780762479319},"embeddings":{"TaylorAI/bge-micro-v2":{"vec":[-0.11157141,0.01282288,-0.01385077,-0.0108703,-0.06572667,0.04330786,-0.01503244,0.04815124,0.07615516,0.03220175,0.03494327,-0.04015518,0.04728574,0.09214406,0.049885,0.01282399,-0.03864677,0.06596596,0.00351812,-0.0029712,0.07900801,-0.02289432,0.0058817,-0.07382847,0.03479866,0.00838884,-0.06291404,-0.06788599,0.00380223,-0.20732498,0.02502342,0.01901464,-0.0470295,-0.00287944,-0.03175642,0.03001531,-0.07925416,0.02134061,-0.05295501,0.01849557,-0.00564917,-0.01318831,-0.01245383,-0.01701096,-0.00772758,-0.03822456,-0.03640375,-0.03401157,-0.07437925,-0.0410579,0.00188709,-0.04339192,-0.01914229,0.01729186,-0.0022433,-0.00558721,0.07596147,0.05721851,0.07318633,0.01236219,0.01962305,0.06863876,-0.2014793,0.1122858,-0.00377899,0.05972062,-0.04731746,0.00488038,0.05447457,0.0755504,-0.0046351,0.02804,0.0011805,0.02526996,0.03518125,0.00359861,-0.0100027,-0.05395353,0.01003627,-0.05264398,0.05961561,0.00741392,-0.04568539,-0.01365432,-0.03918686,-0.0649134,0.01495628,-0.0551214,0.07242733,0.03060934,0.0181229,0.00883285,0.0273598,0.01980956,-0.05437882,0.03859406,-0.02234305,0.00087196,-0.10035431,0.09047311,-0.01324343,0.03644905,-0.02652854,0.02707453,0.07421236,-0.05315901,0.02176248,-0.04917036,-0.01497531,-0.00349876,-0.05651275,-0.03501675,0.08012847,-0.04947653,-0.00337793,-0.01491692,0.06313027,0.01013076,0.04822696,-0.04399855,-0.04791119,0.00126847,0.08401907,-0.02675477,0.01177551,-0.02926219,0.02624646,0.06351607,-0.05235273,0.04883044,0.05215593,-0.03089786,-0.01541607,-0.01980969,0.04050324,0.03551111,0.02746057,-0.0146782,0.01100603,0.02243983,-0.00946015,0.04974277,-0.01499309,-0.13269132,-0.05665681,0.03892432,0.02292714,0.04640599,-0.01504429,-0.03342378,0.0131637,0.06299612,0.01917985,-0.01464956,0.02801597,0.00526951,0.05561426,0.01558214,-0.07923241,-0.01771372,0.00650247,-0.05241218,-0.04794167,0.17120634,-0.01217614,-0.06341219,-0.0689487,-0.02452558,-0.00073054,0.02728859,0.04755687,0.03142618,-0.06760771,0.01244914,0.00821104,-0.00067311,-0.08966236,-0.01685578,0.01248014,0.00234716,0.03308078,-0.08233443,0.00555181,-0.02892669,0.02237351,0.00400632,-0.01365675,-0.06360592,0.03935747,0.02500913,-0.05865708,0.00480285,0.01538165,0.00122991,-0.00539359,-0.03946751,0.03904877,-0.08158246,0.00379704,-0.0118781,-0.00480296,-0.01142516,0.00598823,-0.00115315,-0.04061481,0.03828755,0.03368866,-0.03205065,0.05867344,0.03949513,-0.02682926,0.01489474,0.0385318,-0.04042403,-0.05817394,-0.01216836,0.0260564,0.01517404,-0.03380061,0.02738433,0.00490022,0.03011955,-0.01277216,-0.18871908,0.00565844,-0.01834785,-0.02233006,0.06987633,-0.02596868,0.05797105,-0.03254522,0.02356442,0.04287917,0.12253516,-0.00604533,-0.04319922,0.01343446,0.00633521,-0.06053714,0.02311345,-0.00558408,-0.02653658,0.03821406,0.00178798,0.01673188,-0.01880657,-0.105177,0.06972887,-0.01427887,0.15510501,0.05926474,-0.00820608,0.03352871,0.03833307,0.04231049,-0.01420026,-0.11198965,0.00949391,-0.02638771,0.03435958,0.06708233,0.00110467,-0.06967195,-0.00587042,0.06385233,-0.06619482,-0.0783212,-0.04863937,-0.01839619,-0.07653727,0.02890662,-0.06526709,-0.02145414,0.00909846,-0.01770997,-0.00234758,-0.02066883,-0.00783294,-0.00825266,-0.06378608,-0.01066932,-0.02018021,-0.01544674,0.02229886,-0.00812309,0.02597559,-0.03277058,0.03682845,-0.01997284,0.06378482,-0.03399653,0.0120817,0.03341295,-0.00627347,0.14416417,0.05817262,-0.01088795,0.00292643,-0.01667012,-0.01408814,-0.02116547,-0.05008129,-0.00551373,0.02785733,-0.03270214,0.03506805,0.02473686,0.0417515,-0.06270982,0.03292368,-0.05300978,0.06335126,0.0301259,0.01030748,0.0087273,-0.04678806,-0.05319708,0.06715412,-0.00493789,-0.2687504,0.0377073,0.07109445,0.06291388,-0.01833657,0.01998069,0.05059975,-0.06734511,-0.03632294,0.01104455,-0.01172315,0.05429189,0.03002176,0.03925003,0.01876112,0.02453418,0.05784397,-0.04781105,0.06330527,-0.0557384,0.01709062,0.09453867,0.19330797,-0.05829051,0.0597582,-0.00370629,-0.03397599,-0.0232698,-0.00841392,-0.01738067,-0.06853038,0.04244404,0.05691484,-0.02641347,0.03272563,0.11024161,-0.01724489,-0.02418443,0.02124959,0.00150443,-0.0393089,0.00883645,0.1006417,0.04897495,0.0616335,-0.01010273,0.02773333,-0.06527738,-0.06194896,0.02294107,-0.04519865,-0.00111939,-0.01404739,-0.03533925,0.02187114,0.04684051,0.01896744,-0.04373957,-0.0361346,-0.01387519,0.0346563,-0.00497733,0.10875213,0.03941204,-0.01478475],"last_embed":{"tokens":446,"hash":"1997z1"}}},"last_read":{"hash":"1997z1","at":1780762480020},"class_name":"SmartSource","last_import":{"mtime":1780761156758,"size":2099,"at":1780762405113,"hash":"1997z1"},"blocks":{"#---frontmatter---":[1,10],"#🎮 Reinforcement Learning (RL)":[11,59],"#🎮 Reinforcement Learning (RL)#Définition Courte":[13,15],"#🎮 Reinforcement Learning (RL)#Définition Courte#{1}":[14,15],"#🎮 Reinforcement Learning (RL)#Explication Détaillée":[16,35],"#🎮 Reinforcement Learning (RL)#Explication Détaillée#{1}":[17,35],"#🎮 Reinforcement Learning (RL)#Cas d'Usage":[36,42],"#🎮 Reinforcement Learning (RL)#Cas d'Usage#{1}":[37,42],"#🎮 Reinforcement Learning (RL)#Outils Liés":[43,48],"#🎮 Reinforcement Learning (RL)#Outils Liés#{1}":[44,48],"#🎮 Reinforcement Learning (RL)#Pages Liées":[49,55],"#🎮 Reinforcement Learning (RL)#Pages Liées#{1}":[50,55],"#🎮 Reinforcement Learning (RL)#Questions Ouvertes":[56,59],"#🎮 Reinforcement Learning (RL)#Questions Ouvertes#{1}":[57,59]},"outlinks":[{"title":"nouveautes-ia-par-mois","target":"nouveautes-ia-par-mois","line":40},{"title":"fine-tuning","target":"fine-tuning","line":50},{"title":"lora","target":"lora","line":51},{"title":"prompt-engineering","target":"prompt-engineering","line":52},{"title":"glossaire-ia","target":"glossaire-ia","line":53},{"title":"transformer-architecture","target":"transformer-architecture","line":54}],"metadata":{"title":"Reinforcement Learning (RL)","created":"2026-06-06","updated":"2026-06-06","type":"concept","tags":["#IA","#ML","#training"],"confidence":"high","contested":false,"sources":["synthesized"]},"task_lines":[],"tasks":{},"codeblock_ranges":[],"key":"concepts/reinforcement-learning.md"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#---frontmatter---": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"13ozjz6","at":1780762405099},"key":"concepts/reinforcement-learning.md#---frontmatter---","lines":[1,10],"size":188,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)": {"path":null,"last_embed":{"hash":"65jghn","at":1780762479580},"embeddings":{"TaylorAI/bge-micro-v2":{"vec":[-0.10368145,0.01438269,0.00900071,-0.0185801,-0.07245429,0.04597331,0.00035131,0.053388,0.08656255,0.03945632,0.02886274,-0.02817788,0.05169061,0.1114071,0.05042862,0.01012189,-0.04633638,0.08589983,0.00114051,-0.0267928,0.07626451,-0.02754969,-0.00785477,-0.06970655,0.02344297,0.0160986,-0.05531344,-0.05841357,0.0150797,-0.20062274,0.04965787,0.01293437,-0.05389029,-0.00985314,-0.03364125,0.03455128,-0.07803426,0.01449198,-0.04865451,0.03319944,-0.01189604,-0.00424975,-0.0223987,-0.02163943,-0.01051234,-0.04573673,-0.0176178,-0.0534629,-0.0889157,-0.05315586,-0.00547483,-0.04947488,-0.00603944,0.00296073,0.00548494,-0.0095573,0.0757268,0.06263155,0.06484664,-0.00413041,0.03401479,0.07105728,-0.2020811,0.10560707,-0.00029201,0.06601885,-0.046027,-0.01410138,0.04647939,0.0830174,-0.00093637,0.02765183,0.01186548,0.01460193,0.04128212,0.00978028,-0.01954258,-0.05403904,0.01124603,-0.05892431,0.04208717,-0.00889953,-0.03660596,-0.00788294,-0.03520659,-0.0568778,0.00978405,-0.07009365,0.0830065,0.03942039,0.01182202,0.00764876,0.01382087,0.01427712,-0.04983448,0.03691707,-0.01935179,-0.00026967,-0.11253178,0.10515908,0.01201413,0.03452341,-0.02232732,0.03942915,0.05412423,-0.04839662,-0.0021971,-0.04738855,-0.0178667,0.00992541,-0.05250777,-0.03193485,0.0692364,-0.0419993,-0.02915404,-0.00989026,0.04531312,0.01729604,0.04772392,-0.04324177,-0.03694997,0.00017072,0.07646341,-0.02087399,0.00843846,-0.03381249,0.0297754,0.07373204,-0.05569234,0.05380806,0.0573572,-0.02411287,-0.00138347,-0.01292669,0.0428611,0.03568579,0.02221338,-0.02116919,-0.00147726,0.01451505,-0.01577273,0.06353927,-0.00635206,-0.1455248,-0.03914767,0.04104003,0.02006582,0.03837826,-0.01973693,-0.03721683,0.01468601,0.05584966,0.02883733,-0.03082237,0.01321929,0.02117404,0.04391819,0.02618274,-0.09288997,-0.00796468,-0.01411536,-0.03787685,-0.03964071,0.18067616,-0.01111584,-0.05576178,-0.06896093,-0.02986597,-0.00900199,0.03951481,0.05306335,0.04858024,-0.07777305,0.00524,0.01837083,-0.01149357,-0.09815591,-0.01721583,0.00390437,-0.00757471,0.02929755,-0.08424539,0.00228016,-0.02979006,0.01319555,0.00325819,-0.00668421,-0.05790653,0.04014391,0.00389571,-0.04338339,0.00658334,0.03070334,0.00581445,-0.00336868,-0.02839799,0.03393124,-0.07827981,-0.0093442,-0.00860318,0.00522519,0.01388677,0.0057233,-0.00511704,-0.02174377,0.02299271,0.00665611,-0.02818728,0.05437001,0.0290402,-0.04316274,0.01412622,0.03381344,-0.02870532,-0.05526665,0.00280166,0.01532424,0.00699624,-0.03098436,0.02674197,0.01705828,0.04391408,0.00213407,-0.17298219,-0.01493286,-0.02215838,-0.00703502,0.06162991,-0.02924162,0.04547906,-0.03406589,0.02857234,0.03885669,0.10187429,-0.01071284,-0.04352717,0.03740294,0.00484075,-0.06091562,0.0212884,0.00696052,-0.02607059,0.04636127,0.01536375,0.01446736,-0.01957591,-0.11128376,0.06758391,-0.01720271,0.16907328,0.04696972,-0.01019405,0.0275193,0.02092377,0.04975868,-0.01964024,-0.09889757,0.01129149,-0.02599137,0.05325575,0.05777969,0.0087182,-0.06944696,-0.00849736,0.06370021,-0.05653825,-0.08282389,-0.03839619,-0.02784229,-0.0690439,0.02930675,-0.0667712,-0.02817932,0.0209775,-0.01637015,-0.01068992,-0.03663039,-0.01032379,-0.00162709,-0.04760923,-0.02434602,-0.02913565,-0.00531332,0.02253002,-0.01941147,0.02743916,-0.02064041,0.04774348,-0.024105,0.07106381,-0.04316612,-0.00740615,0.02899679,0.0017349,0.14167218,0.04636143,-0.0039229,0.00626901,-0.01282454,0.0008624,-0.01495382,-0.0525124,-0.00468828,0.03729898,-0.03325976,0.02093305,0.02584677,0.03938631,-0.0632368,0.03434766,-0.06216615,0.05252556,0.03276908,-0.00332148,0.01274662,-0.04972448,-0.04335356,0.05449877,-0.00728814,-0.26516289,0.04609798,0.05006251,0.05007009,-0.01535267,0.01544985,0.03415768,-0.06044537,-0.03114003,0.01502644,-0.00888846,0.05162723,0.02118732,0.03479937,0.02284954,0.01632974,0.08220714,-0.04750688,0.06328316,-0.07792866,0.01726414,0.10250405,0.19573544,-0.05463117,0.06557738,-0.00642034,-0.0302651,-0.03168249,-0.00115707,-0.03237431,-0.06047016,0.03775585,0.05342738,-0.03601166,0.05582714,0.1136737,-0.01956003,-0.03163574,0.02450298,0.00317847,-0.03300893,0.02743687,0.10144331,0.04422271,0.05343895,0.00354804,0.01242586,-0.06309801,-0.06820165,0.02746788,-0.03605019,0.01106346,-0.01881135,-0.03394083,0.04127226,0.03743889,0.00374177,-0.03121354,-0.04476552,-0.0222739,0.02965551,-0.00962053,0.10326082,0.027945,-0.01320852],"last_embed":{"tokens":441,"hash":"65jghn"}}},"text":null,"length":0,"last_read":{"hash":"65jghn","at":1780762479580},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)","lines":[11,59],"size":1881,"outlinks":[{"title":"nouveautes-ia-par-mois","target":"nouveautes-ia-par-mois","line":30},{"title":"fine-tuning","target":"fine-tuning","line":40},{"title":"lora","target":"lora","line":41},{"title":"prompt-engineering","target":"prompt-engineering","line":42},{"title":"glossaire-ia","target":"glossaire-ia","line":43},{"title":"transformer-architecture","target":"transformer-architecture","line":44}],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Définition Courte": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"8flxi1","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Définition Courte","lines":[13,15],"size":196,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Définition Courte#{1}": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"1p82mq2","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Définition Courte#{1}","lines":[14,15],"size":174,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Explication Détaillée": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"cjfab","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Explication Détaillée","lines":[16,35],"size":937,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Explication Détaillée#{1}": {"path":null,"last_embed":{"hash":"1t3hq8w","at":1780762479836},"embeddings":{"TaylorAI/bge-micro-v2":{"vec":[-0.12237392,0.024348,0.01922833,0.00044678,-0.05782953,0.0530589,-0.03247928,0.05188276,0.07363649,0.0360067,0.03965676,-0.04290269,0.05506167,0.10448482,0.06646404,-0.00211813,-0.04974821,0.05886818,-0.00759348,-0.0388882,0.03984522,-0.02615123,0.00889166,-0.06377175,-0.00865139,0.00888395,-0.0674492,-0.04967985,0.01699856,-0.23097847,0.0534154,0.0144031,-0.04593639,-0.01675677,-0.02780708,0.02071365,-0.06954731,0.02921021,-0.04013485,0.01685143,-0.01550884,0.01458782,-0.04749257,-0.04151726,-0.01808026,-0.06760512,-0.0273962,-0.0494743,-0.06834932,-0.04846047,-0.00023863,-0.06502943,0.005167,0.01772534,0.0160735,-0.01578505,0.06239428,0.06394308,0.03808449,-0.00859286,0.04597253,0.05505909,-0.19052625,0.09158497,0.01830298,0.06457274,-0.03172316,-0.03003597,0.04488247,0.09521329,-0.02938592,0.01775902,0.01521543,0.01697137,0.031435,0.01030546,-0.02990332,-0.06056565,-0.01715402,-0.03276658,0.04664303,0.01710532,-0.02233439,0.00352784,-0.02529003,-0.07288869,0.03198016,-0.04259394,0.07452475,0.04708117,0.00969877,0.0110532,0.00532284,0.01491603,-0.04010917,0.0530235,-0.00325158,-0.00066825,-0.12541756,0.08839905,0.00578612,0.04770291,-0.00974253,0.06756858,0.05820243,-0.04347762,-0.00123883,-0.02497844,-0.03726483,0.0006602,-0.04520624,-0.01622462,0.06361157,-0.04796174,-0.03621304,0.00724281,0.04597219,0.03768369,0.04187813,-0.0491043,-0.02605372,-0.00807018,0.10521633,-0.02736912,0.01643077,-0.04168144,0.0289572,0.07338609,-0.07298124,0.06549286,0.04038888,-0.02675464,-0.00351157,-0.02999405,0.01326582,0.03659664,0.02599148,-0.04142481,0.00843408,0.01458325,-0.0027818,0.05415741,-0.00869511,-0.13293497,-0.04777337,0.06528499,0.00377687,0.06116238,-0.0262532,-0.03462065,0.01080485,0.05398593,0.03373858,-0.02897897,0.02024888,0.01292631,0.02647057,0.01159733,-0.07961977,-0.00001892,0.0017556,-0.04098533,-0.03512975,0.18647514,-0.00232675,-0.04526695,-0.06684604,-0.02377782,-0.00937799,0.02682136,0.05391486,0.02205587,-0.05981537,0.00436182,0.00330491,-0.00551414,-0.09667031,-0.00236507,0.00858887,-0.01871577,0.02781945,-0.07826877,-0.00511368,-0.03138356,0.00616935,-0.01365029,0.01147282,-0.0407726,0.02511894,0.03326124,-0.05325717,0.00959711,0.0408974,0.02331646,-0.00529068,-0.03652815,0.02626262,-0.06764789,-0.01054173,-0.0050671,-0.01246271,-0.00247954,0.00476702,-0.00556491,-0.02146491,0.02446369,0.02431779,-0.01166569,0.06252149,0.01917663,-0.04750776,0.03464042,0.03094843,-0.02913965,-0.03971309,0.00040147,0.01587529,0.0220906,-0.0415032,0.02950326,0.01924771,0.04208131,0.01087609,-0.17277409,-0.03708675,-0.0143147,-0.0092468,0.05593989,-0.03558944,0.04974678,-0.01371801,0.02484084,0.06266863,0.09320093,-0.00693289,-0.04319332,0.02318232,0.02831908,-0.03601393,0.03286286,0.01052581,0.00146209,0.02790836,0.00707753,0.02445152,0.00016718,-0.10291907,0.07654898,-0.04294552,0.16169989,0.04510565,-0.00502926,0.02163673,0.00489272,0.06417442,-0.02996957,-0.09332991,0.00171993,-0.00593518,0.04648008,0.07047447,0.01644162,-0.07243957,0.00370102,0.04918258,-0.04963732,-0.0776699,-0.04532153,-0.03090223,-0.06873986,0.03735321,-0.07836068,-0.00954363,0.0226256,-0.01071985,-0.00363124,-0.05474245,-0.00094027,-0.01435319,-0.04727651,-0.00883559,-0.02516739,0.01604079,-0.00470033,-0.02250626,0.01601783,-0.04987442,0.04092007,-0.00381396,0.0748158,-0.03316813,0.02139807,0.04748983,-0.00474751,0.1191723,0.05823322,-0.01503853,-0.01284522,-0.00219245,0.01032224,-0.04108319,-0.05027166,0.00574693,0.06994934,-0.03150966,0.01206726,0.00195337,0.02624593,-0.0782016,0.00422628,-0.04886693,0.06729128,0.02432906,0.01398495,0.00249912,-0.04922392,-0.04098941,0.04925778,-0.00568689,-0.26719674,0.01700727,0.04305943,0.0279195,-0.02575953,0.03936465,0.04611097,-0.08023421,-0.02879451,0.01419733,-0.03350363,0.06614754,0.02403427,0.03256023,0.0156227,0.03124951,0.08139358,-0.04938905,0.06146516,-0.08959538,0.02208701,0.09532181,0.19469857,-0.02046198,0.06932177,-0.01598303,-0.01441935,-0.03168419,0.00807455,-0.02528173,-0.06101041,0.03779198,0.04240145,-0.04010896,0.0540647,0.13065568,-0.01740106,-0.02948501,0.02054759,0.01659584,-0.01225011,0.02631877,0.07070471,0.03578757,0.06552055,0.00710807,0.00320055,-0.06749997,-0.08122005,0.03770653,-0.03172094,-0.00447403,-0.00616267,-0.04101504,0.03447973,0.04719993,-0.02171431,-0.0467362,-0.05478597,-0.01153816,0.04291584,-0.01881377,0.09396306,0.01937987,-0.0267956],"last_embed":{"tokens":337,"hash":"1t3hq8w"}}},"text":null,"length":0,"last_read":{"hash":"1t3hq8w","at":1780762479836},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Explication Détaillée#{1}","lines":[17,35],"size":911,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Cas d'Usage": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"1ik2sxk","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Cas d'Usage","lines":[36,42],"size":244,"outlinks":[{"title":"nouveautes-ia-par-mois","target":"nouveautes-ia-par-mois","line":5}],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Cas d'Usage#{1}": {"path":null,"last_embed":{"hash":"tmrake","at":1780762480020},"embeddings":{"TaylorAI/bge-micro-v2":{"vec":[-0.09949298,-0.01684811,0.04308075,-0.03871546,-0.03950225,0.04267923,-0.02262673,0.0515889,0.05727603,0.00941591,0.04393233,-0.05559986,0.02748651,0.09996784,0.02359701,0.02640189,-0.02396564,0.085757,-0.02218311,-0.01634913,0.08775601,-0.05006394,0.0094421,-0.06165763,-0.01161524,0.04071899,-0.06256221,-0.01727816,0.02197886,-0.19813363,0.02437647,-0.0196159,-0.01032874,-0.01289755,-0.03870446,0.02660044,-0.09913892,0.04730301,-0.04733253,0.07036565,-0.01230958,-0.00419165,-0.00864978,-0.0092162,0.00045713,-0.0198674,-0.02595611,-0.03458926,-0.05924478,-0.02415651,-0.03046715,-0.00025481,0.00716528,-0.02657037,0.05560737,0.01174464,0.05923586,0.06046523,0.0457193,0.02927713,0.01448773,0.05518069,-0.19341448,0.09770401,-0.00824926,0.05974084,-0.03503877,-0.02432561,0.05713908,0.13522248,-0.01199924,0.01809603,0.01625657,0.0211383,0.03579171,0.0178442,-0.01014365,-0.07320029,0.02407931,-0.05658466,0.02392424,-0.03491157,-0.01254486,-0.03706054,-0.04626152,-0.01000616,0.01403401,-0.04854362,0.05195279,0.03953154,0.0002325,0.03983362,-0.01975366,0.04777664,-0.08958381,0.0269595,0.02543653,0.02234257,-0.0725804,0.1241167,-0.01324108,0.01164214,-0.00948693,0.01723483,0.03804862,-0.03955431,-0.0175585,-0.03576948,-0.01845706,-0.00700863,-0.02978605,-0.00094364,0.0566405,-0.03327972,-0.0169213,-0.04562736,0.03045762,-0.00348089,0.02874948,0.0076643,-0.03193324,0.03081666,0.04311178,0.01046114,0.00405289,-0.02429568,0.0051367,0.05802426,-0.03579413,0.0376468,0.06573825,-0.01158409,-0.00051721,-0.01457143,0.05096213,0.03194937,0.03302038,-0.02555591,0.01319329,0.04736871,-0.04699229,0.02128244,0.04987862,-0.14819784,-0.00764792,0.03667334,0.03017171,0.03936263,-0.02313909,-0.06839522,0.02352078,0.03537281,0.01545802,-0.06559861,-0.00545094,0.01791999,0.07197066,0.07217698,-0.07865617,-0.01214881,-0.05314103,-0.0092993,-0.01922294,0.21390979,-0.03108924,-0.07088123,-0.06542207,-0.00377506,-0.01701519,0.01444275,0.00760608,0.06986815,-0.06081635,0.01335551,0.03350674,-0.01100473,-0.13358139,-0.05390468,-0.01338324,0.02196493,0.02018911,-0.10016648,-0.00487763,-0.00800256,0.02879482,0.02481843,-0.01056444,-0.0343462,0.02077854,0.02195705,-0.02853013,0.03109012,0.02741355,-0.01521151,-0.02582766,0.02176868,0.01547249,-0.0575788,-0.02967286,-0.02368535,0.03367854,0.01069041,0.00610975,-0.01791336,-0.0360637,-0.00316061,-0.0036791,-0.02362935,0.0473097,0.06934728,-0.02813467,-0.00353635,0.01194105,-0.03242074,-0.05292046,0.01482481,0.00594445,0.00377226,-0.03534848,0.03433423,0.04417606,0.06782393,-0.04672768,-0.18761019,-0.01797843,0.02056964,0.02756206,0.04737508,-0.07280777,0.05758562,-0.03086555,0.01909279,0.04963573,0.08425388,-0.02865601,-0.0406775,0.01968734,0.00196087,-0.05535181,0.03571045,-0.01984815,-0.03892812,0.04736808,-0.01639437,0.01513644,0.01812076,-0.11909715,0.03135952,-0.01750372,0.17142926,0.02556209,0.03102191,-0.00772054,0.02938622,0.0327303,-0.01900886,-0.05519425,0.01788647,-0.00057018,0.06248014,0.04142806,0.0668726,-0.03825251,-0.02834737,0.027082,-0.04258101,-0.0984689,-0.00550003,-0.00153766,-0.0601661,-0.06881619,-0.04118594,-0.00145105,0.01315251,0.03361069,0.01469264,-0.05158728,-0.03798649,-0.00983449,-0.01536513,-0.04581166,-0.0253129,-0.00047368,0.00473749,-0.00459054,0.04231207,-0.03772763,0.04190703,-0.02556543,0.05641517,-0.01228568,0.00313225,-0.00453857,-0.03126214,0.13172488,0.0605319,0.02180657,-0.00172796,-0.00960112,-0.02620116,-0.00990229,-0.05104358,-0.00774999,0.05669544,0.00492356,0.04322593,0.04430778,0.02041027,-0.06020161,0.03131045,-0.04739659,0.0450048,0.01950451,0.00688576,-0.00655413,-0.0485019,-0.01293399,0.05457845,0.01421498,-0.2689445,0.03959573,0.04548924,0.06013972,-0.02061464,0.03329046,0.04949388,-0.07853673,-0.01568151,0.01759864,-0.02911421,0.06054005,0.03402358,0.02785027,0.04443354,-0.02182355,0.07188881,-0.05288242,0.03290299,-0.06938404,0.015221,0.08942512,0.22379254,-0.03580367,0.05224265,0.03223187,-0.0680493,-0.01008032,-0.00341386,-0.03570975,-0.05282428,0.04071129,0.01961953,-0.00640281,0.02913071,0.08632503,-0.04768526,-0.01180391,0.01723709,-0.00025898,-0.05526353,0.01868071,0.05267737,0.00794931,0.07715991,0.02277267,-0.01622998,-0.07285923,-0.05952762,0.01160221,-0.02312295,-0.01182765,-0.04733422,-0.02316607,0.02857208,0.04497185,-0.02580821,-0.03466856,-0.07087424,-0.07640005,0.05002724,-0.01448198,0.06623702,-0.00179426,-0.03148979],"last_embed":{"tokens":92,"hash":"tmrake"}}},"text":null,"length":0,"last_read":{"hash":"tmrake","at":1780762480020},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Cas d'Usage#{1}","lines":[37,42],"size":228,"outlinks":[{"title":"nouveautes-ia-par-mois","target":"nouveautes-ia-par-mois","line":4}],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Outils Liés": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"1sc0ida","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Outils Liés","lines":[43,48],"size":184,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Outils Liés#{1}": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"ggeac0","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Outils Liés#{1}","lines":[44,48],"size":168,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Pages Liées": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"1gwn3wj","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Pages Liées","lines":[49,55],"size":126,"outlinks":[{"title":"fine-tuning","target":"fine-tuning","line":2},{"title":"lora","target":"lora","line":3},{"title":"prompt-engineering","target":"prompt-engineering","line":4},{"title":"glossaire-ia","target":"glossaire-ia","line":5},{"title":"transformer-architecture","target":"transformer-architecture","line":6}],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Pages Liées#{1}": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"mime8i","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Pages Liées#{1}","lines":[50,55],"size":110,"outlinks":[{"title":"fine-tuning","target":"fine-tuning","line":1},{"title":"lora","target":"lora","line":2},{"title":"prompt-engineering","target":"prompt-engineering","line":3},{"title":"glossaire-ia","target":"glossaire-ia","line":4},{"title":"transformer-architecture","target":"transformer-architecture","line":5}],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Questions Ouvertes": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"15ib2as","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Questions Ouvertes","lines":[56,59],"size":153,"outlinks":[],"class_name":"SmartBlock"},
|
|
"smart_blocks:concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Questions Ouvertes#{1}": {"path":null,"last_embed":{"hash":null},"embeddings":{},"text":null,"length":0,"last_read":{"hash":"1trlek5","at":1780762405099},"key":"concepts/reinforcement-learning.md#🎮 Reinforcement Learning (RL)#Questions Ouvertes#{1}","lines":[57,59],"size":130,"outlinks":[],"class_name":"SmartBlock"}, |