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  1. 22 de may. de 2024 · Tsinghua University. /  40.00000°N 116.32667°E  / 40.00000; 116.32667. Tsinghua University is a public university in Haidian, Beijing, China. It is affiliated with and funded by the Ministry of Education of China. The university is part of Project 211, Project 985, and the Double First-Class Construction.

  2. 14 de may. de 2024 · ChatGPTは直接的に大規模言語モデル(LLM)ではなく、LLMを基に構築された対話型AIのサービスです。. OpenAIのGPT-3、GPT-4と言ったLLMによって駆動されており、質問への回答、文章生成、会話シミュレーションなどを行います。. Googleの対話型AIであるBard(現在は ...

  3. pypi.org › project › llama-cpp-agentllama-cpp-agent · PyPI

    4 de ene. de 2024 · Introduction. The llama-cpp-agent framework is a tool designed to simplify interactions with Large Language Models (LLMs). It provides an interface for chatting with LLMs, executing function calls, generating structured output, performing retrieval augmented generation, and processing text using agentic chains with tools.

  4. 2 de may. de 2024 · The English Wikipedia currently has nearly 7 million articles as of now, containing more than 4.5 billion words. Let’s start by storing some of Wikipedia’s knowledge in a vector database. Using LangChain’s WikipediaLoader, we can query multiple Wikipedia articles and store them in the variable pages.

  5. 22 de may. de 2024 · Techopedia erklärt die Bedeutung des Large Language Model (LLM) Ein Sprachmodell ist ein Modell der künstlichen Intelligenz (KI), das darauf trainiert ist, menschliche Sprache zu verstehen und zu erzeugen. Es lernt die Muster, Strukturen und Beziehungen innerhalb einer gegebenen Sprache und wird traditionell für enge KI-Aufgaben wie die ...

  6. 20 de may. de 2024 · In the UK, members of the House of Commons are described as Members of Parliament, like in Canada, but members of the House of Lords are not. ^ When the London Assembly was first established in 2000 there was some debate over its members' post-nominal letters. The most commonly used were "AM", "GLA", "MLA" and "GLAM".

  7. 17 de may. de 2024 · The Cerebras platform has trained a huge assortment of models from multi-lingual LLMs to healthcare chatbots. We help customers train their own foundation models or fine-tune open source models like Llama 2. Best of all, the majority of our work is open source.