** Awọn Aṣoju AI Ibanujẹ fun Ifijiṣẹ sọfitiwia adaṣe: Iṣajọpọ LangChain ati DSPy ni Awọn Pipeline DevOps ***
Ibere
Ilẹ-ilẹ idagbasoke sọfitiwia ti n dagba ni iyara, pẹlu isọdọmọ ti Imọye Artificial (AI) ati Ẹkọ Ẹrọ (ML) ni ọpọlọpọ awọn aaye ti igbesi-aye idagbasoke. Ọkan ninu awọn agbegbe ti o ni ileri julọ ti ohun elo fun AI wa ni adaṣe adaṣe awọn ilana ifijiṣẹ sọfitiwia, pẹlu telemetry ati isọpọ ilọsiwaju / imuṣiṣẹ ilọsiwaju (CI/CD). Ninu àpilẹkọ yii, a yoo ṣawari ipa ti awọn aṣoju AI ni ṣiṣe adaṣe awọn ilana ifijiṣẹ sọfitiwia ati ki o lọ sinu imuse iṣe ti awọn irinṣẹ orchestration bi LangChain ati DSPy.
**Ipa ti Awọn aṣoju AI ni Ifijiṣẹ sọfitiwia ***
Awọn aṣoju AI jẹ awọn eto sọfitiwia ti o le ṣe awọn iṣẹ-ṣiṣe ni ominira, ṣiṣe awọn ipinnu ti o da lori data ati awọn ofin. Ni aaye ti ifijiṣẹ sọfitiwia, awọn aṣoju AI le ṣee lo lati ṣe adaṣe awọn ilana lọpọlọpọ, bii:
- **Telemetry ***: Awọn aṣoju AI le gba ati ṣe itupalẹ data lati awọn orisun oriṣiriṣi, gẹgẹbi awọn iwe ohun elo, awọn metiriki iṣẹ, ati esi olumulo, lati pese awọn oye si ihuwasi ati iṣẹ ohun elo naa.
- ** Ilọsiwaju Ilọsiwaju ***: Awọn aṣoju AI le ṣe adaṣe adaṣe, idanwo, ati imuṣiṣẹ ti awọn iyipada koodu, ni idaniloju pe ohun elo nigbagbogbo wa ni ipo imuṣiṣẹ.
- ** Ilọsiwaju Ilọsiwaju ***: Awọn aṣoju AI le ṣe adaṣe adaṣe awọn iyipada si iṣelọpọ, idinku akoko ati igbiyanju ti o nilo lati gba awọn ẹya tuntun ati awọn atunṣe si awọn olumulo.
- ** Abojuto ati Gbigbọn ***: Awọn aṣoju AI le ṣe atẹle iṣẹ ṣiṣe ohun elo ati awọn olupilẹṣẹ gbigbọn ati awọn oniṣẹ si awọn ọran ti o pọju ṣaaju ki wọn to ṣe pataki.
** LangChain: Ilana kan fun Ilé Awọn aṣoju AI ***
LangChain jẹ ilana Python fun kikọ awọn aṣoju AI ti o le ṣe ajọṣepọ pẹlu ọpọlọpọ awọn orisun data ati ṣe awọn iṣẹ-ṣiṣe ni adase. LangChain n pese API ti o rọrun ati ogbon inu fun awọn aṣoju ile ti o le:
- ** Ibaṣepọ pẹlu awọn orisun data ***: LangChain n pese ọpọlọpọ awọn orisun data, pẹlu awọn data data, APIs, ati awọn ọna ṣiṣe faili, ti awọn aṣoju le ṣe ibaraẹnisọrọ pẹlu.
- ** Ṣe awọn iṣẹ-ṣiṣe ***: LangChain n pese awọn iṣẹ-ṣiṣe ti o pọju ti awọn aṣoju le ṣe, pẹlu sisẹ ọrọ, idanimọ aworan, ati sisọ ede adayeba.
- ** Kọ ẹkọ lati data ***: LangChain n pese ọpọlọpọ awọn algorithms ẹkọ ẹrọ ti awọn aṣoju le lo lati kọ ẹkọ lati data.
** DSPy: Ilana kan fun Ilé Awọn Aṣoju AI Pinpin ***
DSPy jẹ ilana Python fun kikọ awọn aṣoju AI ti o pin kaakiri ti o le ṣe iwọn lati pade awọn iwulo awọn ohun elo titobi nla. DSPy n pese ọpọlọpọ awọn ẹya, pẹlu:
- ** Awọn iṣiro pinpin ***: DSPy gba awọn aṣoju laaye lati ṣiṣẹ lori awọn ẹrọ pupọ, ti o jẹ ki o dara fun awọn ohun elo ti o tobi.
- ** Data parallelism ***: DSPy ngbanilaaye awọn aṣoju lati ṣe ilana data ni afiwe, ti o jẹ ki o dara fun awọn ohun elo ti o nilo iširo iṣẹ-giga.
- ** Scalability ***: DSPy ngbanilaaye awọn aṣoju lati ṣe iwọn lati pade awọn iwulo ti awọn ohun elo nla.
** Iṣajọpọ LangChain ati DSPy ni Awọn Pipeline DevOps ***
Lati ṣepọ LangChain ati DSPy ni awọn opo gigun ti DevOps, a le lo awọn igbesẹ wọnyi:
- ** Fi LangChain ati DSPy sori ẹrọ ***: Fi LangChain ati DSPy sori ẹrọ nipa lilo pip. `` bash pip fi sori ẹrọ langchain dspy
2. ** Ṣẹda aṣoju LangChain ***: Ṣẹda aṣoju LangChain ti o le ṣe ibaraẹnisọrọ pẹlu awọn orisun data ati ṣe awọn iṣẹ-ṣiṣe.
`` Python
gbe wọle langchain
oluranlowo = langchain.Agent (
orukọ = "my_agent",
data_sources=[langchain.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")]
)
- ** Ṣẹda a DSPy oluranlowo ***: Ṣẹda a DSPy oluranlowo ti o le ṣiṣe awọn lori ọpọ ero ati ilana data ni ni afiwe. `` Python gbe wọle dspy
Ṣẹda aṣoju DSPy kan
oluranlowo = dspy.Agent ( orukọ = "my_agent", data_sources=[dspy.DataSource("database", "my_database")], awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")] )
4. ** Ṣepọpọ LangChain ati awọn aṣoju DSPy ***: Ṣepọ awọn LangChain ati awọn aṣoju DSPy ni pipeline DevOps nipa lilo ọpa bi Jenkins tabi GitLab CI / CD.
`` Python
gbe wọle langchain
gbe wọle dspy
# Ṣẹda aṣoju LangChain kan
langchain_agent = langchain.Agent(
orukọ = "my_langchain_agent",
data_sources=[langchain.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")]
)
# Ṣẹda aṣoju DSPy kan
dspy_agent = dspy.Agent(
orukọ = "my_dspya_agent",
data_sources=[dspy.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")]
)
# Ṣepọ awọn aṣoju ni opo gigun ti epo DevOps
opo gigun = [
langchain_agent,
dspy_agent
]
** Top 5-10 Awọn aṣẹ ti a lo julọ / awọn snippets ***
Eyi ni awọn pipaṣẹ 5-10 ti o lo julọ / awọn snippets fun LangChain ati DSPy:
- ** LangChain: Ṣẹda aṣoju LangChain kan *** `` Python gbe wọle langchain
oluranlowo = langchain.Agent ( orukọ = "my_agent", data_sources=[langchain.DataSource("database", "my_database")], awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")] )
2. ** DSPy: Ṣẹda aṣoju DSPy ***
`` Python
gbe wọle dspy
oluranlowo = dspy.Agent (
orukọ = "my_agent",
data_sources=[dspy.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")]
)
- ** LangChain: Ṣe ajọṣepọ pẹlu orisun data kan *** `` Python gbe wọle langchain
oluranlowo = langchain.Agent ( orukọ = "my_agent", data_sources=[langchain.DataSource("database", "my_database")], awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")] )
data = agent.data_sources[0].gba_data()
4. ** DSPy: Ṣe ajọṣepọ pẹlu orisun data kan ***
`` Python
gbe wọle dspy
oluranlowo = dspy.Agent (
orukọ = "my_agent",
data_sources=[dspy.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")]
)
data = agent.data_sources[0].gba_data()
- ** LangChain: Ṣe iṣẹ kan *** `` Python gbe wọle langchain
oluranlowo = langchain.Agent ( orukọ = "my_agent", data_sources=[langchain.DataSource("database", "my_database")], awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")] )
àbájáde = agent.awọn iṣẹ-ṣiṣe[0].perform_task(data)
6. ** DSPy: Ṣe iṣẹ kan ***
`` Python
gbe wọle dspy
oluranlowo = dspy.Agent (
orukọ = "my_agent",
data_sources=[dspy.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")]
)
àbájáde = agent.awọn iṣẹ-ṣiṣe[0].perform_task(data)
- ** LangChain: Kọ ẹkọ lati inu data *** `` Python gbe wọle langchain
oluranlowo = langchain.Agent ( orukọ = "my_agent", data_sources=[langchain.DataSource("database", "my_database")], awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")] )
aṣoju.ko_lati_data(data)
8. ** DSPy: Kọ ẹkọ lati inu data ***
`` Python
gbe wọle dspy
oluranlowo = dspy.Agent (
orukọ = "my_agent",
data_sources=[dspy.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")]
)
aṣoju.ko_lati_data(data)
- ** LangChain: Ṣepọ pẹlu opo gigun ti epo DevOps *** `` Python gbe wọle langchain
oluranlowo = langchain.Agent ( orukọ = "my_agent", data_sources=[langchain.DataSource("database", "my_database")], awọn iṣẹ-ṣiṣe = [langchain.Task ("text_processing", "my_text_processing")] )
opo gigun = [ oluranlowo ]
10. ** DSPy: Ṣepọ pẹlu opo gigun ti epo DevOps ***
`` Python
gbe wọle dspy
oluranlowo = dspy.Agent (
orukọ = "my_agent",
data_sources=[dspy.DataSource("database", "my_database")],
awọn iṣẹ-ṣiṣe = [dspy.Task ("text_processing", "my_text_processing")]
)
opo gigun = [
oluranlowo
]
** Iworan ***
Eyi ni iwoye ti LangChain ati awọn aṣoju DSPy ni opo gigun ti epo DevOps kan: `` aworan apẹrẹ { "type": "ọgọ", "data": { "labels": ["LangChain", "DSPy"], "awọn ipilẹ data": [ { "label": "Aṣojú", "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)"], "AalaWidth": 1 } ] }, "awọn aṣayan": { "akọle": { "ifihan": otitọ, "ọrọ": "LangChain ati Awọn aṣoju DSPy ni Pipeline DevOps" }, "iwọn": { "yAxes": [ { "awọn ami": { "beginAtZero": otitọ } } ] } } }
Iwoye yii fihan LangChain ati awọn aṣoju DSPy ni opo gigun ti DevOps, pẹlu aṣoju LangChain ti o ni awọn iṣẹ-ṣiṣe 10 ati aṣoju DSPy ti o ni awọn iṣẹ-ṣiṣe 20.
**Ipari**
Ninu àpilẹkọ yii, a ṣawari ipa ti awọn aṣoju AI ni ṣiṣe adaṣe awọn ilana ifijiṣẹ sọfitiwia ati ki o lọ sinu imuse iṣe ti awọn irinṣẹ orchestration bi LangChain ati DSPy. A rii bi LangChain ati DSPy ṣe le lo lati ṣẹda awọn aṣoju AI ti o le ṣe ajọṣepọ pẹlu awọn orisun data, ṣe awọn iṣẹ ṣiṣe, ati kọ ẹkọ lati data. A tun rii bii LangChain ati DSPy ṣe le ṣepọ ni awọn opo gigun ti DevOps nipa lilo awọn irinṣẹ bii Jenkins tabi GitLab CI / CD. Pẹlu igbasilẹ ti AI ati ML ti o pọ si ni idagbasoke sọfitiwia, LangChain ati DSPy n di awọn irinṣẹ pataki ti o pọ si fun awọn olupilẹṣẹ ati awọn oniṣẹ n wa lati ṣe adaṣe awọn ilana ifijiṣẹ sọfitiwia.