If you have installed everything and are still not seeing your card being used,see this fileon steps I took to re-install llama-cpp-python with CUDA support. Using a full Linux OS? Check out the equivalent notebooks in this repository:https://github.com/marklysze/LlamaIndex-RAG-Linux-CUDA...
Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B - marklysze/LlamaIndex-RAG-Linux-CUDA
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...
So you need both when using MongoDB as a vector store with LlamaIndex. 1 vs_model = SearchIndexModel( 2 definition={ 3 "fields": [ 4 { 5 "type": "vector", 6 "path": "embedding", 7 "numDimensions": 1536, 8 "similarity": "cosine", 9 }, 10 {"type": "filter", "path": ...
LlamaIndex is an impressive data framework designed to support the development of applications utilizing LLMs (Large Language Models). It offers a wide range of essential tools that simplify tasks such as data ingestion, organization, retrieval, and integration with different application frameworks. The...
Fine-tuning Llama 2 models on Intel® Data Center GPUs using BigDL LLM By Du, Wesley, Wang, Yang Y and Unnikrishnan Nair, Rahul In the rapidly evolving field of Generative AI (GenAI), fine-tuning large language models (LLMs) presents unique challenges because of their hi...
Integration with SQL and Chroma DB vector databases Description This course begins by introducing foundational concepts of Large Language Models (LLMs) and their applications, focusing on LlamaIndex. You'll set up your development environment and create your first LlamaIndex program, covering essential...
Integration with SQL and Chroma DB vector databases Description This course begins by introducing foundational concepts of Large Language Models (LLMs) and their applications, focusing on LlamaIndex. You'll set up your development environment and create your first LlamaIndex program, covering essential...
OpenChatKit models The OpenChatKit base model implementation has the following four files: model.py– This file implements the handling logic for the main OpenChatKit GPT-NeoX model. It receives the inference input request, loads the model, loads the Wikipedia i...
Local models and external connectors Using custom LLMs Using local LLMs with Ollama Using local LLMs with llama.cpp via LlamaSharp Using local models with LM Studio Using Semantic Kernel LLM connectors Generating answers with Anthropic LLMs Upload files and ask questions from command line using...