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Section: Large Language Models (LLMs)
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模型托管。通过简单 API 运行各种开源 AI 模型(SDXL, Llama 3等),无需管理服务器。
Section: Large Language Models (LLMs)
Section: Inference and Data Infrastructure · Run and fine-tune open models behind a hosted API.
Section: Large Language Models (LLMs)
Section: Large Language Models (LLMs)
Section: AI 算力与模型网关 (AI Compute & Model Gateways) · 模型托管。通过简单 API 运行各种开源 AI 模型(SDXL, Llama 3等),无需管理服务器。
Section: 링크 · AI 모델을 API로 실행하는 플랫폼
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
A fast in-process analytical database that has zero external dependencies, runs on Linux/macOS/Windows, offers a rich SQL dialect, and is free and extensible.
The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
OpenRouter.ai is a platform that provides access to a wide range of large language models, including open-source and proprietary options like ChatGPT, Gemini, and Perplexity, allowing users to find the best models and pricing for their prompts and use cases website | docs
A curated list of papers, projects, and resources related to Large Language Models.
Vector search inside Postgres. Try this before adding a dedicated vector database.
This course delves into the transformative role of Transformers in deep learning, particularly their impact on the advancement of language models like ChatGPT and GPT-4.