Ho notlolla AI e Hlalosang ho Mehaho ea Khoebo ka LangChain le DSPy

Kenyelletso

AI e hlalosang (XAI) e fetohile karolo ea bohlokoa ea meralo ea likhoebo ea sejoale-joale, e nolofalletsang mekhatlo ho tšepa le ho utloisisa liqeto tse entsoeng ke litsamaiso tse tsamaisoang ke AI. Leha ho le joalo, ho kenya ts'ebetsong XAI lits'ebetsong tse rarahaneng tsa software e ka ba mosebetsi o boima, haholo ha o sebetsana le meralo e meholo ea likhoebo. Sehloohong sena, re tla hlahloba hore na LangChain le DSPy li ka sebelisoa joang ho notlolla matla a XAI meahong ea likhoebo, ho tsepamisitse maikutlo ho etsa liqeto tse tsamaisoang ke AI.

AI e Hlalosang (XAI) ke Eng?

AI e hlalosang e bua ka bokhoni ba litsamaiso tsa AI ho fana ka litlhaloso tse hlakileng le tse tolokang bakeng sa liqeto le likhakanyo tsa bona. Sena se bohlokoa ka ho khetheha libakeng tse nang le maemo a holimo joalo ka tlhokomelo ea bophelo bo botle, lichelete le lipalangoang, moo liqeto tse tsamaisoang ke AI li ka bang le litlamorao tse kholo.

LangChain: Moralo oa ho Aha Litsamaiso tse Hlalosang tsa AI

LangChain ke moralo oa mohloli o bulehileng oa ho aha litsamaiso tse hlakileng tsa AI. E fana ka sete ea lisebelisoa le lilaebrari bakeng sa ho theha mehlala e ka fanang ka litlhaloso tse hlakileng le tse tolokang bakeng sa liqeto tsa bona. LangChain e hahiloe holim'a meralo e tsebahalang ea ho ithuta e tebileng joalo ka TensorFlow le PyTorch, e etsang hore ho be bonolo ho hokahana le litsamaiso tse teng tsa AI.

DSPy: Laeborari ea Ho Haha Mehlala ea AI e Hlalosang

DSPy ke laeborari ea ho aha mefuta e hlakileng ea AI e sebelisang moralo oa PyTorch. E fana ka mefuta e mengata e hahiloeng esale pele le lisebelisoa tsa ho theha litsamaiso tse hlakileng tsa AI, ho kenyeletsoa mefuta ea ho hlopha litšoantšo, ts'ebetso ea puo ea tlhaho, le tse ling.

Ho kenya tšebetsong AI e Hlalosehang ho Mehaho ea Likhoebo ka LangChain le DSPy

Ho kenya ts'ebetsong XAI kahong ea likhoebo ho hloka kutloisiso e tebileng ea litsamaiso tsa motheo tsa AI le bokhoni ba ho kopanya likarolo tsa XAI litsamaisong tse teng. Mona, re tla hlahloba mohlala o bonolo oa mokhoa oa ho kenya ts'ebetsong XAI tsamaisong e rarahaneng ea software e sebelisang LangChain le DSPy.

Mohlala: Ho aha Mohlala o Hlalosang oa AI bakeng sa Khethollo ea Litšoantšo

Mohlala ona, re tla haha mohlala o hlakileng oa AI bakeng sa ho arola litšoantšo ka LangChain le DSPy. Re tla sebelisa meralo e bonolo ea convolutional neural network (CNN) le ho kopanya likarolo tsa XAI ho sebelisa LangChain.

kenya lebone
import torch.nn joalo ka nn
import langchain
ho tsoa ho langchain import LLAMA

# Hlalosa meralo ea CNN
sehlopha sa CNN(nn.Module):
    def __init__(bowena):
        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 forward(self, x):
        x = torch.relu(self.conv1(x))
        x = torch.relu(self.conv2(x))
        x = x.sheba(-1, 320)
        x = torch.relu(self.fc1(x))
        x = self.fc2(x)
        khutla x

# Qala mofuta oa CNN
mohlala = CNN()

# Qala mohlala oa LangChain LLAMA
llama = LLAMA(mohlala)

# Hlalosa karolo ea XAI
Sehlopha sa XAIComponent:
    def __init__(bowena, mohlala):
        self.mohlala = mohlala

    def hlalosa(boithati, input_data):
        # Sebelisa LangChain ho hlahisa tlhaloso ea data e kentsoeng
        tlhaloso = llama.generate_explanation(input_data)
        kgutlisa tlhaloso

# Qala karolo ea XAI
xai_component = XAIComponent(mohlala)

# Lekola karolo ea XAI
input_data = torch.randn(1, 1, 28, 28)
tlhaloso = xai_component.explain(input_data)
hatisa(tlhaloso)

Mohlala ona, re hlalosa mohaho o bonolo oa CNN o sebelisang PyTorch le ho kopanya likarolo tsa XAI ho sebelisa LangChain. Ka mor'a moo re hlalosa karolo ea XAI e sebelisang LangChain ho hlahisa tlhaloso ea lintlha tsa ho kenya.

Top 5-10 Litaelo / Linotsoana tse Sebelisitsoeng ka ho Fetisisa

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa LangChain le DSPy:

LangChain

langchain.LLAMA(mohlala): E qala mohlala oa LangChain LLAMA.
llama.generate_explanation(input_data): E hlahisa tlhaloso bakeng sa lintlha tse kentsoeng.
langchain.Explanation(model, input_data): E theha ntho e hlalosang bakeng sa lintlha tse kentsoeng.
llama.explain(input_data): E hlalosa lintlha tse kentsoeng ka mokhoa oa LLAMA.
langchain.ModelWrapper(mohlala): E phuthela mohlala ka sephutheloana sa mohlala oa LangChain.

DSPy

dsp.DSPy(mohlala): E qala mofuta oa DSPy.
dsp.explain(input_data): E hlalosa lintlha tse kentsoeng ka mokhoa oa DSPy.
dsp.ModelWrapper(mohlala): E thatela mohlala ka sephutheloana sa DSPy.
dsp.Explanation(model, input_data): E theha ntho e hlalosang bakeng sa lintlha tse kentsoeng.
dsp.generate_explanation(input_data): E hlahisa tlhaloso bakeng sa lintlha tse kentsoeng.

Ho bona pono

Mona ke pono e bonolo ea karolo ea XAI e sebelisang Chart.js:

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  "type": "bar",
  "data": {
    "labels": ["Input Data", "Explanation"],
    "lintlha tsa boitsebiso": [
      {
        "label": "XAI Component",
        "data": [10, 20],
        "backgroundColour": [
          "rgba(255, 99, 132, 0.2)",
          "rgba(54, 162, 235, 0.2)"
        ],
        "Mmala oa moeli": [
          "rgba(255, 99, 132, 1)",
          "rgba(54, 162, 235, 1)"
        ],
        "borderWidth": 1
      }
    ]
  },
  "likgetho": {
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Pono ena e bonts'a lintlha tse kentsoeng le tlhaloso e hlahisoang ke karolo ea XAI.

Qetello

Ho kenya ts'ebetsong XAI kahong ea likhoebo ho hloka kutloisiso e tebileng ea litsamaiso tsa motheo tsa AI le bokhoni ba ho kopanya likarolo tsa XAI litsamaisong tse teng. LangChain le DSPy li fana ka lisebelisoa le lilaebrari bakeng sa ho haha litsamaiso tse hlakileng tsa AI, ho etsa hore ho be bonolo ho kenya ts'ebetsong XAI lits'ebetsong tse rarahaneng tsa software. Ka ho latela mohlala le pono e fanoeng sengolong sena, bahlahisi ba ka notlolla matla a XAI meahong ea bona ea likhoebo mme ba hahe lits'ebetso tse hlakileng le tse tolokang tse tsamaisoang ke AI.

Mosebetsi oa Kamoso

Mosebetsi oa nakong e tlang sehloohong sena o ka kenyelletsa:

Ho theha likarolo tse tsoetseng pele tsa XAI ho sebelisa LangChain le DSPy.
Ho kopanya likarolo tsa XAI le meralo e meng ea AI le lilaeborari.
Ho nts'etsapele lisebelisoa tse tsoetseng pele tsa pono bakeng sa likarolo tsa XAI.
Ho sebelisa XAI ho litsamaiso le libaka tse rarahaneng tsa AI.