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LangChain

404 articles · Page 5 of 5
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jun 12, 2023 · Artificial Intelligence

Comprehensive Guide to Using OpenAI APIs: Models, Prompts, Embeddings, Fine‑Tuning, LangChain, and Multimodal Applications

This article provides a detailed, step‑by‑step tutorial on OpenAI’s language models, API endpoints, prompt engineering, embeddings, moderation, fine‑tuning, LangChain workflows, memory management, and multimodal capabilities such as audio transcription and image generation, complete with code examples and practical usage tips.

APIFine-tuningLangChain
0 likes · 45 min read
Comprehensive Guide to Using OpenAI APIs: Models, Prompts, Embeddings, Fine‑Tuning, LangChain, and Multimodal Applications
21CTO
21CTO
Jun 2, 2023 · Artificial Intelligence

Why LangChain Is the Fast‑Growing Framework for LLM‑Powered Apps

LangChain, launched in 2022, quickly evolved from a Python library to a multi‑environment framework that helps developers build chat‑based applications, agents, and memory‑aware LLM solutions, while integrating with major cloud and AI tooling ecosystems.

AI AgentsAuto-GPTChat applications
0 likes · 8 min read
Why LangChain Is the Fast‑Growing Framework for LLM‑Powered Apps
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
May 15, 2023 · Artificial Intelligence

How LangChain, Auto‑GPT, and HuggingGPT Shape LLM‑Powered Application Development

This article analyzes the current landscape of large‑language‑model application frameworks—LangChain, Auto‑GPT, and HuggingGPT—detailing their core capabilities, workflow patterns, limitations, and how they enable developers to integrate LLMs into real‑world products while outlining future platform requirements.

AI frameworksApplication DevelopmentAuto-GPT
0 likes · 17 min read
How LangChain, Auto‑GPT, and HuggingGPT Shape LLM‑Powered Application Development
DeWu Technology
DeWu Technology
Mar 17, 2023 · Artificial Intelligence

Prompt‑Ops and LangChain: Engineering LLM Applications

Prompt‑Ops frameworks like LangChain let developers turn pre‑trained LLMs into versatile applications by abstracting model calls, chaining prompts, integrating tools, managing memory, and handling private data, while addressing challenges such as nondeterminism, version control, and prompt injection in production environments.

AI applicationsAgentLLM
0 likes · 15 min read
Prompt‑Ops and LangChain: Engineering LLM Applications