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.
中文配音-llama-3+Ollama实现本地函数调用 Local Function Calling with Llama3 using Ollama and超级码力铁码金哥 立即播放 打开App,看更多精彩视频100+个相关视频 更多1584 1 8:50 App Ollama中的Function calling 与OpenAI的对比 3883 -- 16:51 App LangChain vs. LlamaIndex - RAG该用啥? 1.8万 7 ...
Using Exllama or Exllamav2 backend requires all the modules to be on GPU.You can deactivate exllama backend by setting `disable_exllama=True` in the quantization config object 看报错应该是模块没有全部加载到GPU。 根据报错,找到在“model_adapter.py”文件中,有一块是 报错的位置 引发错误的代码 ...
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 ...
In this post, we explore how to harness the power ofLlamaIndex,Llama 2-70B-Chat, andLangChainto 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’ questi...
The 'llama-recipes' repository is a companion to the [Llama 2 model](https://github.com/facebookresearch/llama). The goal of this repository is to provide examples to quickly get started with fine-tuning for domain adaptation and how to run inference for the fine-tuned models. For ease ...
Get started with serverless chat with LangChainjs Get started with serverless chat with LlamaIndex Serverless Azure OpenAI Assistant with function calling JavaScript frontend + Python backend Evaluate your chat app Scale Azure OpenAI with Azure Container Apps Scale Azure OpenAI with Azur...
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Large Language Models (LLMs) like OpenAI’s GPT-3, Google’s BERT, and Meta’s LLaMA are revolutionizing various sectors with their ability to generate a wide array of text?—?from marketing copy and data science scripts to poetry.
Llama2 70B Chat HF answer:Negative. The sentence expresses a negative experience with the product, specifically mentioning that one of the metal boning pieces broke through and was hanging out at the bottom after only the second time of wearing it. The person also mentions that the produ...