Tatalaina le Fa'amatalaina AI ile Atina'e Atina'e fa'atasi ma LangChain ma DSPy

Folasaga

Fa'amatalaina AI (XAI) ua avea ma vaega taua o atina'e fa'aonaponei fa'aonaponei, e mafai ai e fa'alapotopotoga ona fa'atuatuaina ma malamalama i fa'ai'uga na faia e faiga fa'avae AI. Ae ui i lea, o le faʻatinoina o le XAI i faiga faʻapipiʻi lavelave e mafai ona avea ma se galuega faigata, aemaise lava pe a feagai ma atinaʻe tetele. I totonu o lenei tusiga, o le a tatou suʻesuʻeina pe faʻapefea ona faʻaogaina LangChain ma DSPy e tatala ai le mana o le XAI i le atinaʻeina o atinaʻe, e taulaʻi i le faia o filifiliga faʻavae AI.

O le a le Explainable AI (XAI)?

Fa'amatalaina AI e fa'atatau i le gafatia o faiga AI e tu'uina atu fa'amatalaga manino ma fa'amatalaina mo a latou fa'ai'uga ma valo'aga. E taua tele lenei mea i tulaga maualuga-siteki e pei o le soifua maloloina, tupe, ma felauaiga, lea e mafai ai e le AI ona i ai ni taunuuga taua.

LangChain: Ose Ta'iala mo le Fausiaina o Faiga Fa'amatalaga AI

LangChain o se faʻavae faʻavae mo le fausiaina o faʻamatalaga AI faʻamalamalamaina. E maua ai se seti o meafaigaluega ma faletusi mo le fatuina o faʻataʻitaʻiga e mafai ona tuʻuina atu faʻamatalaga manino ma faʻamatalaina mo a latou filifiliga. LangChain o loʻo fausia i luga o faʻataʻitaʻiga loloto aʻoaʻoga faʻapitoa e pei o TensorFlow ma PyTorch, faʻafaigofie ona tuʻufaʻatasia ma faiga AI o iai.

DSPy: O se Faletusi mo le Fausiaina o Faʻataʻitaʻiga AI Faʻamatalaina

DSPy o se faletusi mo le fausiaina o faʻataʻitaʻiga AI faʻamalamalamaina e faʻaaoga ai le PyTorch framework. O loʻo tuʻuina atu ai se seti o faʻataʻitaʻiga muamua ma meafaigaluega mo le fatuina o faʻamatalaga AI faʻamalamalamaga, e aofia ai faʻataʻitaʻiga mo le faʻavasegaina o ata, faʻaogaina o gagana masani, ma isi mea.

Faʻaaogaina AI Faʻamatalaina i le Atinaʻe Atinaʻe ma LangChain ma DSPy

O le faʻatinoina o le XAI i atinaʻe atinaʻe e manaʻomia ai se malamalamaga loloto i faiga faʻavae AI ma le mafai ona tuʻufaʻatasia vaega XAI i faiga o iai. O iinei, o le a matou suʻesuʻeina se faʻataʻitaʻiga faigofie o le faʻaogaina o le XAI i se faiga faʻapipiʻi lavelave e faʻaaoga ai LangChain ma DSPy.

Fa'ata'ita'iga: Fausiaina o se Fa'ata'ita'iga AI Fa'amatalaina mo le Fa'avasegaina o Ata

I lenei faʻataʻitaʻiga, o le a matou fausia se faʻataʻitaʻiga AI faʻamalamalamaina mo le faʻavasegaina o ata e faʻaaoga ai LangChain ma DSPy. O le a matou faʻaogaina se faʻaogaina faigofie fesoʻotaʻiga neural network (CNN) ma tuʻufaʻatasia vaega XAI e faʻaaoga ai LangChain.

sulu mai fafo
fa'aulufale mai sulu.nn pei nn
faaulufale mai le langchain
mai le langchain faaulufale mai LLAMA

# Fa'amatala le fausaga o le CNN
vasega CNN(nn.Module):
    def __init__(self):
        super(CNN, self).__init__()
        self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
        self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
        self.fc1 = nn.Linear(320, 50)
        self.fc2 = nn.Linear(50, 10)

    def i luma(tagata, x):
        x = sulu.relu(self.conv1(x))
        x = sulu.relu(self.conv2(x))
        x = x.vaaiga(-1, 320)
        x = sulu.relu(self.fc1(x))
        x = tagata.fc2(x)
        toe faafoi x

# Amata le ata CNN
fa'ata'ita'iga = CNN()

# Amata le faʻataʻitaʻiga LangChain LLAMA
llama = LLAMA(fa'ata'ita'iga)

# Fa'amatala le vaega XAI
vasega XAIComponent:
    def __init__(self, model):
        self.model = fa'ata'ita'iga

    def fa'amatala(tagata, input_data):
        # Faʻaaoga LangChain e faʻatupu ai se faʻamatalaga mo faʻamatalaga faʻapipiʻi
        fa'amatalaga = llama.generate_explanation(input_data)
        toe faafoi faamatalaga

# Amata le vaega XAI
xai_component = XAIComponent(fa'ata'ita'iga)

# Suʻe le vaega XAI
input_data = sulu.randn(1, 1, 28, 28)
fa'amatalaga = xai_component.explain(input_data)
lolomi(fa'amatalaga)

I lenei faʻataʻitaʻiga, matou te faʻamalamalamaina se faʻataʻitaʻiga CNN faigofie e faʻaaoga ai PyTorch ma faʻapipiʻi vaega XAI e faʻaaoga ai LangChain. Ona matou faʻamalamalamaina lea o se vaega XAI e faʻaaogaina LangChain e faʻatupu ai se faʻamatalaga mo faʻamatalaga faʻapipiʻi.

Top 5-10 Poloaiga/Snippets Tele Fa'aaogaina

O le pito i luga 5-10 pito sili ona faʻaaogaina poloaiga / snippets mo LangChain ma DSPy:

LangChain

langchain.LLAMA(model): Fa'amataina se fa'ata'ita'iga LangChain LLAMA.
llama.generate_explanation(input_data): Faia se fa'amatalaga mo fa'amatalaga fa'aoga.
langchain.Explanation(model, input_data): Fausia se mea fa'amatalaga mo fa'amatalaga fa'aoga.
llama.explain(input_data): Fa'amatala fa'amatalaga fa'aoga e fa'aaoga ai le fa'ata'ita'iga LLAMA.
langchain.ModelWrapper(model): Afifi le fa'ata'ita'iga i le afifi fa'ata'ita'iga a LangChain.

DSPy

dsp.DSPy(fa'ata'ita'iga): Fa'amataina se fa'ata'ita'iga DSPy.
dsp.explain(input_data): Fa'amatala fa'amatalaga fa'aoga e fa'aaoga ai le fa'ata'ita'iga DSPy.
dsp.ModelWrapper(model): afifi le fa'ata'ita'iga i le afifi fa'ata'ita'iga a DSPy.
dsp.Explanation(model, input_data): Fausia se mea fa'amatalaga mo fa'amatalaga fa'aoga.
dsp.generate_explanation(input_data): Fausia se fa'amatalaga mo fa'amatalaga o lo'o tu'uina.

Va'aiga

Ole fa'aaliga faigofie lea ole vaega XAI ile fa'aogaina ole Chart.js:

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["Input Data", "Faamatalaga"],
    "fa'amaumauga": [
      {
        "label": "XAI Vaega",
        "fa'amaumauga": [10, 20],
        "Lulu lanu": [
          "rgba(255, 99, 132, 0.2)",
          "rgba(54, 162, 235, 0.2)"
        ],
        "Lulu tuaoi": [
          "rgba(255, 99, 132, 1)",
          "rgba(54, 162, 235, 1)"
        ],
        "BorderWidth": 1
      }
    ]
  },
  "filifiliga": {
    "fua": {
      "yAxes": [
        {
          "tiki": {
            "beginAtZero": moni
          }
        }
      ]
    }
  }
}

O lenei faʻaaliga o loʻo faʻaalia ai faʻamatalaga faʻapipiʻi ma le faʻamatalaga na faia e le vaega XAI.

Fa'ai'uga

O le faʻatinoina o le XAI i atinaʻe atinaʻe e manaʻomia ai se malamalamaga loloto i faiga faʻavae AI ma le mafai ona tuʻufaʻatasia vaega XAI i faiga o iai. LangChain ma DSPy e tuʻuina atu se seti o meafaigaluega ma faletusi mo le fausiaina o faʻamatalaga AI faʻamalamalamaga, faʻafaigofie ona faʻaogaina le XAI i faiga faʻapipiʻi lavelave. E ala i le mulimuli i faʻataʻitaʻiga ma faʻaaliga o loʻo tuʻuina atu i lenei tusiga, e mafai e le au atinaʻe ona tatalaina le malosi o le XAI i la latou atinaʻe atinaʻe ma fausia atili manino ma faʻamatalaina faiga faʻavae AI.

Galuega i le Lumanai

O galuega i le lumanaʻi i lenei autu e mafai ona aofia ai:

Faʻaleleia atili vaega XAI faʻaogaina LangChain ma DSPy.
Tu'ufa'atasia vaega XAI ma isi auivi AI ma faletusi.
Atinaʻeina o mea faigaluega faʻapitoa faʻapitoa mo vaega XAI.
Faʻaaogaina le XAI i faiga faʻapitoa AI ma vaega.