Kuronga AI Agents neLangChain uye DSPy yeZeroOps DevOps Automation | B4N1

Kuronga AI Agents neLangChain uye DSPy yeZeroOps DevOps Automation

3 months ago · b4n1 Read time: 4 min

Nhanganyaya

Munzvimbo yeinjiniya yesoftware, DevOps otomatiki yave chinhu chakakosha chekuona kufambiswa kwakanaka uye kwakanaka, kutarisa, uye kugadzirisa kwekushandisa. Zvisinei, sezvo kuoma kwemapurogiramu epurogiramu emazuva ano kunowedzera, kudiwa kwekupindira kwemaoko uye kutarisa kwevanhu kunowedzera kurema. Apa ndipo panouya pfungwa yeZeroOps - chiono apo vamiririri veAI vanoronga nekuita otomatiki mabasa akaomarara, vachisunungura vanogadzira vanhu kubva kumabasa emazuva ose uye anodzokororwa.

Muchikamu chino, tichaongorora mharadzano yeAI, software engineering, uye DevOps otomatiki kuti tiwane ZeroOps. Tichaongorora basa reLangChain neDSPy mukugonesa chiono ichi uye nekupa mienzaniso inoshanda yekuti matekinoroji aya anogona kushandiswa sei kugadzira mabasa akaomarara.

Dambudziko neChinyakare DevOps otomatiki

Yechinyakare DevOps otomatiki inotsamira zvakanyanya pakunyora uye nemaoko kumisikidzwa yezvishandiso zvakaita seJenkins, Ansible, uye Docker. Nepo maturusi aya akabatsira mukugadzirisa budiriro nekuendesa, kazhinji zvinoda hunyanzvi hwakakosha uye nguva yekumisa nekuchengetedza.

Zvakare, sezvo maapplication achiwedzera kuoma uye kugoverwa, iyo chaiyo-nguva yekutarisa uye mhinduro inowedzera kukosha. Apa ndipo panouya vamiririri veAI - vanogona kuongorora data kubva kwakasiyana masosi, kuona mapatani, uye kuita sarudzo vakazvimirira.

Kusimuka kweAI Agents muDevOps otomatiki

AI vamiririri vane mukana wekushandura maDevOps otomatiki nekupa chaiyo-nguva yekutarisa, kuona kusanzwisisika, uye otomatiki kuita sarudzo. Nekusimudzira maalgorithms ekudzidza muchina uye kugadzirwa kwemutauro wechisikigo, vamiririri veAI vanogona kuongorora matanda, metrics, uye mamwe masosi edata kuti vaone zvingangoitika zvisati zvanyanya kunetsa.

LangChain uye DSPy matekinoroji maviri ari pamberi pechimurenga ichi. LangChain iraibhurari yePython inogonesa kusikwa kwekukurukurirana kweAI vamiririri, nepo DSPy iri raibhurari yeRust inopa yakakwira-level interface yekuvaka uye kutumira ma AI modhi.

LangChain: Raibhurari yePython yeKutaurirana AI Agents

LangChain iraibhurari yePython inogonesa kugadzirwa kwevanotaurirana AI vamiririri. Inopa iri nyore uye intuitive API yekuvaka uye kutumira chatbots, vabatsiri vezwi, uye mamwe mataurirwo ekukurukurirana.

Chimwe chezvinhu zvakakosha zveLangChain kugona kwayo kubatanidza nemhando dzakasiyana dzeAI, kusanganisira mhando dzemitauro, magirafu ezivo, uye miti yesarudzo. Izvi zvinoita kuti vanogadzira vagadzire kuyerera kwakaomarara kwekukurukurirana uye kugadzirisa kwekuita sarudzo iyo inogona kuiswa nyore uye kuchengetedzwa.

Heino muenzaniso wekugadzira yakapusa chatbot uchishandisa LangChain:

import langchain

# Gadzira modhi yemutauro
muenzaniso = langchain.LMModel("distilbert-base-uncased")

# Gadzira ruzivo rwegirafu
girafu = langchain.KnowledgeGraph("my_graph")

# Gadzira chatbot
chatbot = langchain.Chatbot(modhi, girafu)

# Tsanangura kuyerera kwekukurukurirana
kuyerera = [
    {"input": "mhoro", "output": "mhoro!"},
    {"input": "makadii", "output": "Ndiri kuita zvakanaka, ndatenda!"},
]

# Tumira iyo chatbot
chatbot.deploy(flow)

DSPy: Raibhurari YeNgura Yekuvaka uye Kuendesa AI Models

DSPy iraibhurari yeRust inopa yakakwira-level interface yekuvaka uye kuendesa AI modhi. Inogonesa vanogadzira kugadzira uye kudzidzisa muchina wekudzidza modhi vachishandisa akasiyana algorithms uye masisitimu, anosanganisira TensorFlow uye PyTorch.

Chimwe chezvakakosha zveDSPy kugona kwayo kubatanidza neakasiyana data masosi, kusanganisira dhatabhesi, APIs, uye mafaera masisitimu. Izvi zvinoita kuti vagadziri vagadzire mapaipi e data akaomarara uye mafambiro ebasa anogona kutumirwa uye kuchengetedzwa zviri nyore.

Heino muenzaniso wekugadzira yakapusa muchina kudzidza modhi uchishandisa DSPy:

shandisa dspy::{Model, Dataset};

// Gadzira dataset
rega dataset = Dataset :: itsva("my_dataset");

// Gadzira modhi
regai modhi = Muenzaniso :: mutsva("my_model");

// Dzidzisa muenzaniso
model.train(dataset);

// Shandisa modhi
model.deploy();

Kuronga AI Agents neLangChain uye DSPy

Zvino zvataona mashandisirwo angaitwa LangChain neDSPy kugadzira maAI ekukurukurirana uye modhi yekudzidza muchina, ngationgororei kuti matekinoroji aya angashandiswa sei kuronga maAI agents.

Rimwe rematambudziko akakosha muDevOps otomatiki kubatanidza akawanda maturusi uye masevhisi kugadzira yakabatana uye otomatiki mafambiro ebasa. Apa ndipo panouya LangChain neDSPy - vanopa chimiro chepamusoro chekuvaka uye kutumira maAI maajenti anogona kubatanidza nemidziyo uye masevhisi akasiyana.

Heino muenzaniso wenzira yekurongedzera AI vamiririri vachishandisa LangChain uye DSPy:

import langchain
import dspy

# Gadzira modhi yemutauro
muenzaniso = langchain.LMModel("distilbert-base-uncased")

# Gadzira ruzivo rwegirafu
girafu = langchain.KnowledgeGraph("my_graph")

# Gadzira chatbot
chatbot = langchain.Chatbot(modhi, girafu)

# Gadzira modhi yekudzidza yemuchina
ml_model = dspy.Model("my_model")

# Tsanangura kuyerera kwekukurukurirana
kuyerera = [
    {"input": "mhoro", "output": "mhoro!"},
    {"input": "makadii", "output": "Ndiri kuita zvakanaka, ndatenda!"},
]

# Tumira iyo chatbot
chatbot.deploy(flow)

# Dzidzisa muchina wekudzidza modhi
ml_model.train("my_dataset")

# Tumira muchina wekudzidza modhi
ml_model.deploy()

Yepamusoro 5-10 Yakanyanya Kushandiswa Mirairo / Zvimedu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveLangChain uye DSPy:

  1. langchain.LMModel("distilbert-base-uncased"): Vanogadzira modhi yemutauro vachishandisa DistilBERT algorithm.
  2. langchain.KnowledgeGraph("my_graph"): Inogadzira girafu reruzivo vachishandisa girafu rataurwa.
  3. langchain.Chatbot(modhi, girafu): Inogadzira chatbot vachishandisa modhi yemutauro yakataurwa uye girafu yeruzivo.
  4. dspy.Model("my_model"): Inogadzira modhi yemuchina yekudzidza vachishandisa iyo yakataurwa.
  5. dspy.Dataset("my_dataset"): Vanogadzira dataset vachishandisa dataset rataurwa.
  6. model.train(dataset): Inodzidzisa modhi yekudzidza muchina uchishandisa dataset yakataurwa.
  7. model.deploy(): Inotumira modhi yekudzidza muchina.
  8. chatbot.deploy(flow): Inotumira chatbot ichishandisa kuyerera kwekutaura kwakatsanangurwa.
  9. graph.add_node("node1", "node2"): Inowedzera nodi kugirafu yezivo.
  10. graph.add_edge("node1", "node2"): Inowedzera mupendero kugirafu yeruzivo.

Kuona

Heino ratidziro yeLangChain uye DSPy architecture uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["LangChain", "DSPy"],
    "datasets": [
      {
        "label": "Conversational AI Agents",
        "data": [10, 5],
        "backgroundColor": ["#4CAF50", "#FF9800"]
      },
      {
        "label": "Michina Yekudzidza Mienzaniso",
        "data": [5, 10],
        "backgroundColor": ["#2196F3", "#9C27B0"]
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "zvinyorwa": "LangChain uye DSPy Architecture"
    },
    "legend": {
      "kuratidza": chokwadi
    }
  }
}

Ichi chitarisiko chinoratidza kugovera kwekukurukurirana kweAI vamiririri uye michina yekudzidza modhi pakati peLangChain neDSPy.

Mhedziso

Muchinyorwa chino, takaongorora mharadzano yeAI, software engineering, uye DevOps otomatiki kuti uwane ZeroOps. Taona mashandisirwo angaitwa LangChain neDSPy kugadzira maajenti eAI ekukurukurirana uye modhi yekudzidza muchina, uye kuti matekinoroji aya anogona kushandiswa sei kuronga maAI agents.

Nekusimudzira simba reAI uye otomatiki, vagadziri vanogona kugadzira yakaoma uye inoshanda mafambiro ebasa ayo anogona kutumirwa nyore uye kuchengetedzwa. Kunyangwe iwe uri mugadziri ane ruzivo kana uchangotanga, LangChain neDSPy inopa ine simba uye intuitive interface yekuvaka uye kutumira maAI vamiririri.

Sezvo nyika yeinjiniya yesoftware ichiramba ichishanduka, kudiwa kweautomation uye AI inongoramba ichikura. Nekugamuchira matekinoroji aya, vanogadzira vanogona kugadzira zvakanyanya kushanda, scalable, uye inochengeteka masisitimu anogona kuenderana nekuchinja zvinodiwa uye nharaunda.

Muchinyorwa chinotevera, tichaongorora mamwe misoro yepamusoro muLangChain uye DSPy, kusanganisira nzira yekubatanidza nemamwe maturusi uye masevhisi, uye maitiro ekugadzira tsika AI modhi uye workflows. Ramba wakatarisa!

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