Okwu mmalite

Mgbagwoju anya nke sistemu ngwanrọ ebutela mmepe nke ụlọ ọrụ AI na-anya nke nwere ike ijikwa ma hazie ọtụtụ ndị ọrụ AI nke ọma. LangChain na DSPy bụ usoro abụọ dị ike nke na-eme ka ịmepụta ụlọ ọrụ ngwanrọ na-agbanwe agbanwe na nke na-agbanwe agbanwe site n'inye usoro ikpo okwu siri ike maka nhazi ọrụ AI. N'isiokwu a, anyị ga-enyocha mmejuputa ihe nhazi ngwanrọ AI na-eji LangChain na DSPy, na-elekwasị anya na scalability, resilience, na ntinye na ngwaọrụ DevOps dị ka AWS Kiro.

Kedu ihe bụ LangChain na DSPy?

LangChain bụ usoro Python nke na-enyere aka ịmepụta mkparịta ụka AI ndị na-eji usoro nhazi asụsụ eke (NLP) na usoro mmụta igwe (ML). Ọ na-enye API dị mfe ma nwee nghọta maka iwulite na ijikọ ndị ọrụ AI na ngwa na ọrụ dị iche iche.

DSPy, n'aka nke ọzọ, bụ usoro nke dabeere na Rust nke na-enye ọrụ dị elu na nke nwere ike ime ka onye ọrụ AI na-arụ ọrụ. Ọ na-enyere aka ịmepụta usoro AI dị mgbagwoju anya site n'inye ụlọ ọrụ siri ike ma na-agbanwe agbanwe maka ijikọ ọtụtụ ndị ọrụ AI.

Uru nke Iji LangChain na DSPy

Ojiji nke LangChain na DSPy n'ime nhazi ngwanrọ AI na-enye ọtụtụ uru, gụnyere:

• ** Scalability ***: LangChain na DSPy na-enyere aka ịmepụta sistemu AI nwere ike ịgbatị site n'inye usoro ikpo okwu siri ike maka ndị nnọchi anya AI.
• ** Nkwụsị ike ***: Iji LangChain na DSPy na-eme ka usoro AI na-eme ka ọ dịkwuo mfe na ọdịda na mmejọ, ebe ọ bụ na enwere ike ịmegharị ya ngwa ngwa ma weghachite ya.
• ** Njikọta ***: LangChain na DSPy na-enye ntinye aka na-enweghị ihe ọ bụla na ngwaọrụ DevOps dị iche iche, gụnyere AWS Kiro na AWS, na-eme ka ọ dị mfe ijikwa na ibuga usoro AI.

Na-eji LangChain na DSPy na-eme ihe nhazi ngwanrọ AI-chụpụrụ

Iji mejuputa nhazi ngwanrọ AI na-eji LangChain na DSPy, anyị kwesịrị ịgbaso usoro ndị a:

1. ** Wụnye LangChain na DSPy ***: Wụnye usoro LangChain na DSPy site na iji pip na ibu, n'otu n'otu.
2. ** Mepụta AI Agents ***: Mepụta ndị ọrụ AI na-eji LangChain na DSPy, ma jikọta ha na ngwa na ọrụ dị iche iche.
3. ** Orchestrate AI Agents ***: Jiri DSPy hazie ndị ọrụ AI wee mepụta sistemu AI siri ike.
4. ** Jikọọ na DevOps Tools ***: Jikọta LangChain na DSPy na ngwaọrụ DevOps dị ka AWS Kiro iji jikwaa ma tinye usoro AI.

Koodu Ọmụmaatụ: Mepụta onye nnọchi anya AI na LangChain

"Python mbubata langchain

Mepụta ụdị asụsụ

nlereanya = langchain.LMModel("asụsụ_model")

Mepụta onye nnọchi anya AI mkparịta ụka

onye nnọchi anya = langchain.ConversationalAgent(ihe nlereanya)

Kọwaa ọrụ iji jikwaa ntinye onye ọrụ

def handle_input(input_text): # Jiri onye nnọchi anya AI zaghachi ndenye onye ọrụ nzaghachi = agent.zaghachi(input_text) laghachi nzaghachi

Nwalee onye nnọchi anya AI

input_text = "Ndewo, kedu ka ị mere?" nzaghachi = handle_input(input_text) ebipụta(nzaghachi) ``

Koodu Ọmụmaatụ ###: Ndị nnọchi anya AI na-ahazi DSPy

`` nchara jiri dspy:: {Agent, Orchestration};

// Mepụta ndị ọrụ AI ka agent1 = Onye nnọchi anya :: ọhụrụ ("onye nnọchiteanya1"); ka agent2 = Onye nnọchi anya :: ọhụrụ ("agent2");

// Mepụta ihe atụ egwu egwu ka orchestration = Orchestration :: ọhụrụ ();

// Tinye ndị ọrụ AI na orchestration orchestration.add_agent (onye nnọchite anya1); orchestration.add_agent (onye nnọchi anya2);

// Kọwaa ọrụ iji jikwaa ntinye onye ọrụ fn handle_input (ntinye_text: eriri) -> eriri { // Jiri ihe atụ egwu na-azaghachi na ntinye onye ọrụ ka nzaghachi = orchestration.respond(input_text); nzaghachi }

// Nwalee ihe egwu egwu ka input_text = "Ndewo, kedu ka ị mere?".to_string(); hapụ nzaghachi = handle_input(input_text); println! ("{}", nzaghachi); ``

Top 5-10 Iwu/Snippets kacha eji

Nke a bụ iwu/snippets 5-10 kacha eji eme ihe maka LangChain na DSPy:

1. langchain.LMModel("asụsụ_model"): Na-emepụta ihe atụ asụsụ.
2. ** langchain.ConversationalAgent (ihe nlereanya) ***: Na-emepụta mkparịta ụka AI nnọchite atụ.
3. ** dspy :: Agent :: ọhụrụ("agent1")**: Na-emepụta ihe atụ AI nnọchiteanya.
4. dspy::Orchestration:: ọhụrụ(): Na-emepụta ihe atụ egwu egwu.
5. ** orchestration.add_agent (agent1) ***: Na-agbakwunye onye nnọchi anya AI na orchestration.
6. ** orchestration.respond(input_text)**: Na-aza ndenye onye ọrụ site na iji orchestration.
7. langchain.model.respond(input_text): Na-aza ndenye onye ọrụ site na iji ụdị asụsụ.
8. dspy:: Agent:: zaghachi(input_text): Na-aza ntinye onye ọrụ site na iji onye nnọchite AI.
9. langchain.ConversationalAgent.handle_input(input_text): Na-ejikwa ntinye onye ọrụ site na iji onye na-akparịta ụka AI.
10. ** dspy:: Orchestration.handle_input(input_text)**: Na-eji ihe egwu egwu na-eme ndenye onye ọrụ.

Nlere anya

Nke a bụ nleba anya nke ụlọ ọrụ LangChain na DSPy na-eji Chart.js: Json { "ụdị": "ogwe", "data": { "labels": ["LangChain", "DSPy"], "datasets": [ { "label": "Ịdị elu", "data": [8, 9], "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba (54, 162, 235, 0.2)"], "BorderColor": ["rgba (255, 99, 132, 1)", "rgba (54, 162, 235, 1)"], "BorderWiidth": 1 }, { "label": "Nkwụsị ike", "data": [9, 8], "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba (54, 162, 235, 0.2)"], "BorderColor": ["rgba (255, 99, 132, 1)", "rgba (54, 162, 235, 1)"], "BorderWiidth": 1 }, { "label": "Mmekọrịta", "data": [8, 9], "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba (54, 162, 235, 0.2)"], "BorderColor": ["rgba (255, 99, 132, 1)", "rgba (54, 162, 235, 1)"], "BorderWiidth": 1 } ] }, "Nhọrọ": { "ọnụego": { "yAxes": [ { "akara aka": { "beginAtZero": eziokwu } } ] } } } `` Ọhụụ a na-egosi scalability, resilience, na ike njikọta nke LangChain na DSPy.

Mmechi

LangChain na DSPy bụ usoro dị ike nke na-eme ka ịmepụta ihe nrụpụta ngwanrọ na-agbanwe agbanwe na nke na-agbanwe agbanwe site n'inye usoro ikpo okwu siri ike maka nhazi ndị ọrụ AI. Site n'iji LangChain na DSPy, ndị mmepe nwere ike ịmepụta usoro AI dị mgbagwoju anya nke na-arụ ọrụ nke ọma, na-agbanwe agbanwe, na nke siri ike. Ojiji nke LangChain na DSPy na-emekwa ka njikọ na-enweghị ntụpọ na ngwá ọrụ DevOps dị iche iche, na-eme ka ọ dị mfe ijikwa na itinye usoro AI.