Theha moemeli oa LangChain | B4N1

Theha moemeli oa LangChain

8 months ago · b4n1 Tiempo de lectura: 6 min

Ho kopanya li-AI Agents bakeng sa Phano ea Software e Itirisang: Ho Kopanya LangChain le DSPy ho DevOps Pipelines

Selelekela

Sebopeho sa nts'etsopele ea software se ntse se tsoela pele ka potlako, ka kamohelo e ntseng e eketseha ea Artificial Intelligence (AI) le Machine Learning (ML) likarolong tse fapaneng tsa bophelo ba tsoelo-pele. E 'ngoe ea libaka tse ts'episang ka ho fetesisa tsa kopo ea AI ke ts'ebetsong ea ho tsamaisa software, ho kenyeletsoa telemetry le kopano e tsoelang pele / phepelo e tsoelang pele (CI/CD). Sehloohong sena, re tla hlahloba karolo ea baemeli ba AI ho iketsetsa mekhoa ea ho fana ka software le ho hlahloba ts'ebetsong e sebetsang ea lisebelisoa tsa 'mino oa liletsa tse kang LangChain le DSPy.

**Seabo sa Baemeli ba AI ho Phano ea Software **

Baemeli ba AI ke mananeo a software a ka etsang mesebetsi ka boithaopo, a etsa liqeto a ipapisitse le data le melao. Boemong ba phano ea software, liakhente tsa AI li ka sebelisoa ho iketsetsa lits'ebetso tse fapaneng, joalo ka:

  1. Telemetry: Baemeli ba AI ba ka bokella le ho sekaseka lintlha ho tsoa mehloling e fapaneng, joalo ka litlaleho tsa lits'ebetso, metrics ea ts'ebetso, le maikutlo a basebelisi, ho fana ka leseli mabapi le boitšoaro le ts'ebetso ea sesebelisoa.
  2. Kemahano e Tsoelang Pele: Baemeli ba AI ba ka iketsetsa kaho, teko, le phepelo ea liphetoho tsa khoutu, ho netefatsa hore kopo e lula e le maemong a ka sebelisoang.
  3. Tlhahiso e Tsoelang Pele: Baemeli ba AI ba ka iketsetsa phepelo ea liphetoho tlhahisong, ba fokotsa nako le boiteko bo hlokahalang ho fumana likarolo tse ncha le litokiso ho basebelisi.
  4. Tlhokomeliso le Tlhokomeliso: Baemeli ba AI ba ka beha leihlo tšebetso ea sesebelisoa mme ba hlokomelisa ba ntlafatsang le ba sebetsang ka mathata a ka bang teng pele e ka ba mahlonoko.

LangChain: Moralo oa ho Aha Baemeli ba AI

LangChain ke moralo oa Python oa ho haha ​​mahlahana a AI a ka sebelisanang le mehloli e fapaneng ea data le ho etsa mesebetsi e ikemetseng. LangChain e fana ka API e bonolo le e hlakileng bakeng sa baemeli ba kaho ba ka:

  1. **Ho sebelisana le mehloli ea data **: LangChain e fana ka mefuta e mengata ea mehloli ea boitsebiso, ho kenyelletsa le li-database, li-API, le mekhoa ea lifaele, tseo mahlahana a ka sebetsanang le tsona.
  2. **Etsa mesebetsi **: LangChain e fana ka mefuta e mengata ea mesebetsi eo mahlahana a ka e etsang, ho kopanyelletsa le ho sebetsana le mongolo, ho lemoha litšoantšo, le ho sebetsana le puo ea tlhaho.
  3. **Ithute ho tsoa ho data **: LangChain e fana ka mefuta e mengata ea mekhoa ea ho ithuta mochine eo mahlahana a ka e sebelisang ho ithuta ho data.

DSPy: Moralo oa Kaho ea Baemeli ba AI ba Ajoang

DSPy ke moralo oa Python oa ho aha liakhente tsa AI tse ajoang tse ka holang ho fihlela litlhoko tsa lits'ebetso tse kholo. DSPy e fana ka mefuta e mengata ea likarolo, ho kenyelletsa:

  1. Computing e ajoang: DSPy e lumella liakhente ho sebetsa ka mechini e mengata, e etsa hore e be e loketseng bakeng sa lits'ebetso tse kholo.
  2. Ho bapana ha data: DSPy e lumella liakhente ho sebetsana le data ka mokhoa o ts'oanang, ho etsa hore e be e loketseng lits'ebetso tse hlokang komporo ea ts'ebetso e phahameng.
  3. Scalability: DSPy e lumella liakhente ho lekanya ho fihlela litlhoko tsa lits'ebetso tse kholo.

Ho kopanya LangChain le DSPy ho DevOps Pipelines

Ho kopanya LangChain le DSPy ho liphaephe tsa DevOps, re ka sebelisa mehato e latelang:

  1. ** Kenya LangChain le DSPy **: Kenya LangChain le DSPy u sebelisa pip.
pip kenya langchain dspy
  1. **Etsa moemeli oa LangChain **: Etsa moemeli oa LangChain o ka sebelisanang le mehloli ea data le ho etsa mesebetsi.
import langchain


moemeli = langchain.Agent(
    lebitso = "moemedi_waka",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)
  1. Etsa moemeli oa DSPy: Etsa moemeli oa DSPy o ka sebetsang ka mechine e mengata le ho sebetsana le data ka ho bapisa.
kenya dspy

# Theha moemeli oa DSPy
moemeli = dspy.Agent(
    lebitso = "moemedi_waka",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)
  1. Ho kopanya LangChain le mahlahana a DSPy: Ho kopanya liakhente tsa LangChain le DSPy ka pipeline ea DevOps u sebelisa sesebelisoa se kang Jenkins kapa GitLab CI/CD.
import langchain
kenya dspy

# Theha moemeli oa LangChain
langchain_agent = langchain.Agent(
    lebitso = "my_langchain_agent",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)

# Theha moemeli oa DSPy
dspy_agent = dspy.Agent(
    lebitso = "my_dspya_agent",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)

# Kopanya liakhente pompong ea DevOps
peipi = [
    langchain_agent,
    dspy_agent
]

Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa

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

  1. LangChain: Theha moemeli oa LangChain
import langchain

moemeli = langchain.Agent(
    lebitso = "moemedi_waka",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)
  1. DSPy: Theha moemeli oa DSPy
kenya dspy

moemeli = dspy.Agent(
    lebitso = "moemedi_waka",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)
  1. **LangChain: Kopana le mohloli oa data **
import langchain

moemeli = langchain.Agent(
    lebitso = "moemedi_waka",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)

data = agent.data_sources[0].get_data()
  1. **DSPy: Ho sebelisana le mohloli oa data **
kenya dspy

moemeli = dspy.Agent(
    lebitso = "moemedi_waka",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)

data = agent.data_sources[0].get_data()
  1. LangChain: Etsa mosebetsi
import langchain

moemeli = langchain.Agent(
    lebitso = "moemedi_waka",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)

sephetho = agent.tasks[0].perform_task(data)
  1. DSPy: Etsa mosebetsi
kenya dspy

moemeli = dspy.Agent(
    lebitso = "moemedi_waka",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)

sephetho = agent.tasks[0].perform_task(data)
  1. LangChain: Ithute ho data
import langchain

moemeli = langchain.Agent(
    lebitso = "moemedi_waka",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)

agent.ithute_ho tsoa_data(data)
  1. DSPy: Ithute ho data
kenya dspy

moemeli = dspy.Agent(
    lebitso = "moemedi_waka",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)

agent.ithute_ho tsoa_data(data)
  1. LangChain: Kopanya le pipeline ea DevOps
import langchain

moemeli = langchain.Agent(
    lebitso = "moemedi_waka",
    data_sources=[langchain.DataSource("database", "my_database")],
    mesebetsi=[langchain.Task("text_processing", "my_text_processing")]
)

peipi = [
    moemeli
]
  1. DSPy: Kopanya le pipeline ea DevOps
kenya dspy

moemeli = dspy.Agent(
    lebitso = "moemedi_waka",
    data_sources=[dspy.DataSource("database", "my_database")],
    mesebetsi=[dspy.Task("text_processing", "my_text_processing")]
)

peipi = [
    moemeli
]

Pono ya pono

Mona ke pono ea li-agent tsa LangChain le DSPy liphaepheng tsa DevOps:

{
  "type": "bar",
  "data": {
    "labels": ["LangChain", "DSPy"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Moemeli",
        "data": [10, 20],
        "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
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "LangChain le DSPy Agents in DevOps Pipeline"
    },
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Ponahalo ena e bonts'a baemeli ba LangChain le ba DSPy ka pompong ea DevOps, 'me moemeli oa LangChain a na le mesebetsi e 10 mme moemeli oa DSPy a na le mesebetsi e 20.

Qetello

Sehloohong sena, re ile ra hlahloba karolo ea baemeli ba AI ho iketsetsa mekhoa ea ho fana ka lisebelisoa tsa software le ho hlahloba ts'ebetsong e sebetsang ea lisebelisoa tsa 'mino oa liletsa tse kang LangChain le DSPy. Re bone hore na LangChain le DSPy li ka sebelisoa joang ho theha mahlahana a AI a ka sebelisanang le mehloli ea data, ho etsa mesebetsi, le ho ithuta ho data. Hape re bone kamoo LangChain le DSPy li ka kopanngoang kateng liphaepheng tsa DevOps ho sebelisa lisebelisoa tse kang Jenkins kapa GitLab CI/CD. Ka kamohelo e ntseng e eketseha ea AI le ML ho nts'etsopele ea software, LangChain le DSPy li ntse li fetoha lisebelisoa tsa bohlokoa ka ho fetisisa bakeng sa bahlahisi le basebelisi ba batlang ho iketsetsa mekhoa ea ho fana ka software.

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