LangChain State of AI 2023
LangChain 发布《2023 年人工智能状态报告》，旨在展示开发者如何构建大语言模型应用。该报告包含来自 LangSmith 的关于流行模型、向量数据库、检索策略及测试方法的洞察。
SummaryAI generated
On August 26, 2026, LangChain released the “2024 Artificial Intelligence Status Report” and the “2023 Artificial Intelligence Status Report”. Both reports aim to analyze how developers build LLM applications and the trends in this process. The core data for these reports comes from analysis of LangSmith usage patterns. The “2024 Report” reveals the latest changes in the AI ecosystem and the way LLM applications are built by examining usage data from LangSmith; the “2023 Report” focuses on showing how developers build large-model applications and provides specific insights into popular models, vector databases, retrieval strategies, and testing methods.
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- 2026-09-07 21:02The `GPT-6 Astra model was released, and OpenAI President Brockman confidently declared, “Welcome to the era of AGI.”
- 2026-09-08 19:21OpenAI released GPT-6 Astra, marking the arrival of the AGI era, with capabilities for autonomous computer operation and scientific research.
- 2026-09-08 22:40① Nvidia CEO Jensen Huang posted that OpenAI’s GPT-6 Astra, released last week, was trained using approximately 100,000 NV Link 72 clusters, and he believes that General Artificial Intelligence (AGI) has officially arrived; ② GPT-6 Astra can directly operate computers and software to perform complex tasks such as programming, reaching the most advanced level in multiple fields. OpenAI has announced the beginning of the AGI era.
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LangChainLangSmith
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企业 · 官方发布across 1 days
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2026-08-26
LangChain State of AI 2023
LangChain released the “2023 AI State Report”, aiming to show how developers can build large language model applications. The report includes insights from LangSmith on popular models, vector databases, retrieval strategies, and testing methods.
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LangChain State of AI 2024 Report
LangChain released the “2024 AI Status Report,” aiming to conduct an in-depth analysis of the usage patterns of the LangSmith product to demonstrate the evolution of the AI ecosystem and the construction of LLM applications. The report presents relevant data and trends through “Dive into LangSmith product usage patterns.”