Load LLM qauv thiab tokenizer | B4N1

Load LLM qauv thiab tokenizer

6 months ago · b4n1 Read time: 8 min

**Ua raws li kev tshawb nrhiav qhov xwm txheej nrog DevOps Agents thiab LLMs **

Introduction

Nyob rau niaj hnub no qhov chaw ceev ceev digital, pab pawg DevOps ntsib qhov kev sib tw nyuaj zuj zus: txheeb xyuas thiab daws teeb meem sai li sai tau. Cov txheej txheem kev tshawb fawb ntawm phau ntawv tuaj yeem siv sijhawm ntev thiab ua rau tib neeg yuam kev, ua rau lub sijhawm poob qis thiab txo cov neeg siv khoom txaus siab. Txhawm rau daws qhov teeb meem no, peb tab tom tshawb nrhiav kev sib tshuam ntawm DevOps automation, AI-powered kev tshawb nrhiav qhov xwm txheej, thiab lub luag haujlwm ntawm Cov Qauv Lus Loj (LLMs) hauv kev txhim kho DevOps cov cuab yeej xws li AWS DevOps Agent thiab Copado Agentia.

Tam sim no lub xeev ntawm xwm txheej soj ntsuam

Kev tshawb nrhiav xwm txheej yog qhov tseem ceeb ntawm DevOps, suav nrog kev txheeb xyuas, kev tshuaj xyuas, thiab kev daws teeb meem cuam tshuam rau software systems. Cov txheej txheem ib txwm cia siab rau cov txheej txheem ntawm phau ntawv, xws li kev txheeb xyuas cov cav, kev ua yuam kev, thiab kev sib txuas lus nrog cov neeg muaj feem. Thaum cov txheej txheem no ua tau zoo, lawv tuaj yeem ua qeeb thiab pheej ua yuam kev, ua rau:

  1. Ntau downtime: Cov txheej txheem kev tshawb nrhiav hauv phau ntawv tuaj yeem ncua qhov teeb meem daws teeb meem, ua rau lub sijhawm poob thiab txo cov neeg siv khoom txaus siab.
  2. Tib neeg yuam kev: Cov txheej txheem ntawm phau ntawv muaj kev cuam tshuam rau tib neeg kev ua yuam kev, uas tuaj yeem ua rau tsis raug kuaj xyuas thiab daws teeb meem.
  3. ** Cov teeb meem scalability **: Raws li qhov loj thiab qhov nyuaj ntawm cov tshuab loj hlob tuaj, cov txheej txheem kev tshawb nrhiav phau ntawv yuav nyuaj zuj zus.

Lub luag hauj lwm ntawm DevOps Agents nyob rau hauv qhov xwm txheej soj ntsuam

DevOps cov neeg sawv cev, xws li AWS DevOps Agent thiab Copado Agentia, ua lub luag haujlwm tseem ceeb hauv kev tshawb nrhiav qhov xwm txheej. Cov neeg sawv cev no tuaj yeem:

  1. ** Sau thiab txheeb xyuas cov ntaub ntawv **: DevOps cov neeg sawv cev tuaj yeem sau thiab txheeb xyuas cov cav los ntawm ntau qhov chaw, muab kev nkag siab zoo rau qhov xwm txheej.
  2. Automate yuam kev taug qab: Cov neeg sawv cev tuaj yeem ua qhov yuam kev taug qab, txo lub sijhawm thiab kev siv zog xav tau rau kev tshawb nrhiav phau ntawv.
  3. ** Txhim khu kev sib txuas lus**: Cov neeg sawv cev tuaj yeem pab txhawb kev sib txuas lus ntawm pab pawg, cov neeg muaj feem cuam tshuam, thiab cov tshuab, kom ntseeg tau tias cov ntaub ntawv xwm txheej raug muab faib ua tau zoo.

Lub luag haujlwm ntawm LLMs hauv Kev Tshawb Fawb Teebmeem

Cov Qauv Lus Loj (LLMs) tau hloov pauv lub teb ntawm kev ua cov lus ntuj (NLP), ua kom cov tshuab nkag siab thiab tsim cov ntawv zoo li tib neeg. Hauv cov ntsiab lus ntawm kev tshawb nrhiav qhov xwm txheej, LLMs tuaj yeem:

  1. Saib cov ntawv ceeb toom xwm txheej: LLMs tuaj yeem txheeb xyuas cov ntaub ntawv xwm txheej, txheeb xyuas cov ntaub ntawv tseem ceeb thiab cov qauv uas yuav qhia txog qhov laj thawj ntawm qhov xwm txheej.
  2. Tsim cov ntsiab lus ntawm qhov xwm txheej: LLMs tuaj yeem tsim cov ntsiab lus luv luv ntawm cov ntawv ceeb toom xwm txheej, pab kev sib txuas lus thiab kev txiav txim siab.
  3. ** Muab cov lus qhia txog kev paub txog cov ntsiab lus **: LLMs tuaj yeem muab cov lus qhia paub txog cov ntsiab lus rau kev daws teeb meem, suav nrog cov txheej txheem tshwj xeeb, ib puag ncig, thiab cov neeg muaj feem cuam tshuam.

**Ua raws li kev tshawb nrhiav qhov xwm txheej nrog DevOps Agents thiab LLMs **

Txhawm rau siv qhov kev tshawb nrhiav qhov xwm txheej tsis siv neeg nrog DevOps cov neeg sawv cev thiab LLMs, peb yuav ua raws li cov kauj ruam dhau los:

  1. Integrate DevOps agents: Integrate DevOps agents, xws li AWS DevOps Agent thiab Copado Agentia, nrog rau koj qhov xwm txheej tswj qhov system.
  2. ** Sau thiab txheeb xyuas cov ntawv teev tseg **: Txhim kho DevOps cov neeg sawv cev los sau thiab txheeb xyuas cov cav los ntawm ntau qhov chaw, muab kev nkag siab zoo rau qhov xwm txheej tshwm sim.
  3. ** Qhia tus qauv LLM **: Qhia tus qauv LLM ntawm cov ntaub ntawv qhia txog xwm txheej, cov ntaub ntawv teev tseg, thiab lwm yam ntaub ntawv ntsig txog.
  4. Integrate LLM nrog DevOps tus neeg sawv cev: Muab cov qauv LLM nrog DevOps cov neeg sawv cev, ua rau LLM txheeb xyuas cov xwm txheej ceeb toom thiab muab cov lus qhia rau kev daws teeb meem.
  5. ** Xa cov kev daws teeb meem **: Siv qhov kev tshawb nrhiav qhov xwm txheej tsis siv neeg, kom ntseeg tau tias nws tuaj yeem ua tau, txhim khu kev qha, thiab ruaj ntseg.

** Piv txwv Code: Integrating LLM nrog DevOps Agents**

Nov yog ib qho piv txwv code snippet hauv Python, ua qauv qhia yuav ua li cas koom ua ke LLM qauv nrog DevOps tus neeg sawv cev: `` python ntshuam ntawv los ntawm transformers import AutoModelForSequenceClassification, AutoTokenizer from aws_devops_agent import Agent

qauv = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")

Pib tus neeg sawv cev DevOps

Agent = Agent()

Txhais lub luag haujlwm los txheeb xyuas cov xwm txheej xwm txheej siv tus qauv LLM

def analyze_incident_report(report): # Ua ntej txheej txheem ceeb toom xwm txheej inputs = tokenizer.encode_plus(report, add_special_tokens= Tseeb, max_ntev = 512, return_attention_mask = Muaj tseeb, return_tensors = 'pt')

# Txheeb xyuas qhov xwm txheej qhia siv tus qauv LLM
outputs = qauv(inputs['input_ids'], care_mask=inputs['attention_mask'])

# Tshem tawm daim ntawv teev cov chav kawm kwv yees
kwv yees_class = torch.argmax(outputs.logits)

rov kwv yees_class

Txhais lub luag haujlwm los muab cov lus qhia rau kev daws teeb meem

def provide_suggestions(predicted_class): # Siv daim ntawv teev cov chav kawm kwv yees los muab cov lus qhia rau kev daws teeb meem yog kwv yees_class == 0: rov qab "Xaiv lub kaw lus rau qhov yuam kev" elif kwv yees_class == 1: rov qab "Tshuaj xyuas lub network txuas" lwm tus: rov qab " Hu rau pab pawg txhim kho kom pab"

Kev koom ua ke LLM qauv nrog DevOps tus neeg sawv cev

def xwm txheej_investigation(): # Sau thiab txheeb xyuas cov ntaub ntawv los ntawm tus neeg sawv cev DevOps logs = agent.get_logs()

# Txheeb xyuas cov cav siv LLM qauv
kwv yees_class = analyse_incident_report(logs)

# Muab cov lus qhia rau kev daws teeb meem
cov lus qhia = provide_suggestions(predicted_class)

rov qab cov lus qhia

Siv cov kev daws teeb meem tshawb nrhiav qhov xwm txheej

xwm txheej_kev tshawb nrhiav()

** Sab saum toj 5-10 Feem Ntau Siv Cov Lus Qhia/Snippet **

Nov yog cov saum toj kawg nkaus 5-10 feem ntau siv commands / snippet rau cov tshuab no:

1. `aws devops agent get-logs`: Sau cov cav los ntawm DevOps tus neeg saib xyuas.
2. `transformers.AutoModelForSequenceClassification.from_pretrained()`: Load the LLM model.
3. `tokenizer.encode_plus()`: Ua ntej txheej xwm txheej xwm.
4. `model(inputs['input_ids'], care_mask=inputs['attention_mask'])`: Txheeb xyuas qhov xwm txheej qhia siv tus qauv LLM.
5. `torch.argmax(outputs.logits)`: rho tawm daim ntawv teev cov chav kawm kwv yees.
6. `provide_suggestions(predicted_class)`: Muab cov lus qhia rau kev daws teeb meem.
7. `agent.get_logs()`: Sau cov cav los ntawm tus neeg sawv cev DevOps.
8. `analyze_incident_report(report)`: Txheeb xyuas qhov xwm txheej qhia siv tus qauv LLM.
9. `incident_investigation()`: Siv qhov kev tshuaj xyuas qhov xwm txheej.
10. `torch.save(model.state_dict(), 'model.pth')`: Txuag tus qauv LLM.

**Visualization**

Nov yog qhov pom ntawm qhov kev tshawb nrhiav qhov xwm txheej tsis siv neeg siv Chart.js:
``json
{
  "type": "bar",
  "data": {
    "labels": ["Kev Tshawb Fawb Txog Kev Tshawb Fawb", "Automated Investigation"],
    "datasets": [
      {
        "label": "Lub sijhawm los daws",
        "cov ntaub ntawv": [10, 2],
        "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba(54, 162, 235, 0.2)"],
        "borderColor": ["rgba(255, 99, 132, 1), "rgba(54, 162, 235, 1)"],
        "BorderWidth": 1
      }
    ]
  },
  "options": {
    "title": {
      "display": tseeb,
      "text": "Lub sijhawm los daws qhov xwm txheej"
    },
    "scales": {
      "yAxes": [
        {
          "ticks": {
            "beginAtZero": tseeb
          }
        }
      ]
    }
  }
}

Qhov kev pom no sib piv lub sijhawm los daws qhov xwm txheej uas siv cov txheej txheem kev tshawb nrhiav phau ntawv piv rau cov txheej txheem kev tshawb nrhiav uas siv DevOps cov neeg sawv cev thiab LLMs.

Qhov xaus

Kev ua raws li kev tshawb nrhiav qhov xwm txheej tsis siv neeg nrog DevOps cov neeg sawv cev thiab LLMs tuaj yeem txhim kho qhov ua tau zoo thiab ua tau zoo ntawm kev daws teeb meem. Los ntawm kev sib koom ua ke DevOps cov neeg sawv cev nrog LLMs, cov koom haum tuaj yeem ua haujlwm rau kev txheeb xyuas cov cav, muab cov lus qhia paub txog kev daws teeb meem, thiab txo lub sijhawm los daws qhov xwm txheej. Peb tau tshawb nrhiav qhov kev sib tshuam ntawm DevOps automation, AI-powered kev tshawb nrhiav qhov xwm txheej, thiab lub luag haujlwm ntawm LLMs hauv kev txhim kho DevOps cov cuab yeej xws li AWS DevOps Agent thiab Copado Agentia. Los ntawm kev ua raws li cov kauj ruam los ntawm kauj ruam uas tau teev tseg hauv tsab xov xwm no, cov koom haum tuaj yeem siv qhov ntsuas qhov ntsuas tau, txhim khu kev qha, thiab ruaj ntseg automated kev tshawb nrhiav kev daws teeb meem.

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