This blog delves into creating an advanced chatbot using the LLaMA-2 model, Qdrant vector database, RAG framework, and LangChain, highlighting their integration in a user-friendly Streamlit web app.
使用Langchain-chatchat框架,搭建本地知识库时,发现使用ChatGLM-3 6B模型时,LLM的回答不能按照prompt输出指定格式的结果。 于是,准备尝试千问大模型,使用的模型是 Qwan-14B-Chat-Int4,发现接入千问模型时,存在一些问题 问题描述 报的错误是: 报错内容 ValueError: Found modules on cpu/disk. Using Exllama or...
https://www.youtube.com/watch?v=RfIXVlMEi4c这视频咱们要玩儿个新鲜的,试试phidata库,造一个能用上记忆、知识和工具的大佬级LLM。咱们得写个代码片段,用Llama 3、Ollama和Phidata来调用指令。接下来瞧见没,咱要把任何LLM都变身为贴身小秘书。想动手操作?跟我一起!试
I am running GPT4ALL with LlamaCpp class which imported from langchain.llms, how i could use the gpu to run my model. because it has a very poor performance on cpu could any one help me telling which dependencies i need to install, which parameters for LlamaCpp need to be changed ...
We'll use the Amazon EC2 instance running Ubuntu with an A10G 24GB GPU as an example of running vLLM and TGI with Llama 2, and you can replace this with your own server to implement on-prem Llama 2 deployment. The Colab notebook to connect via LangChain with Llama 2 hosted as the...
In this post, we explore how to harness the power of LlamaIndex, Llama 2-70B-Chat, and LangChain to build powerful Q&A applications. With these state-of-the-art technologies, you can ingest text corpora, index critical knowledge, and generate text that answers users’...
Build and deploy a chat application for complex database interaction with LangChain agents. 16 min read·Feb 9, 2024 -- 11 Ahmed Tariq A Simple Guide to Run the LLama Model in a Docker Container Before we start, I’m assuming that you guys already have the concepts of containerization,...
LangChain 2 Language Models 2 large language models 1 lcnc 1 LlamaIndex 1 LLM 11 LLM (Large Language Models) 4 LLMs 3 LMM 1 Low Code Machine Learning 1 low-code machine learning 1 Low-Code No-Code 2 Machine Learning 4 Machine learning using SAP HANA 2 Mistral AI...
In this study, we present a framework to automatically extract polymer-property data from full-text journal articles using commercially available (GPT-3.5) and open-source (LlaMa 2) large language models (LLM), in tandem with the named entity recognition (NER)-based MaterialsBERT model. ...
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