Load the Llama-2 7b chat model from Hugging Face Hub in the notebook. Create a PromptTemplate withLangChainand use it to create prompts for your use case. For 1–2 example prompts, add relevant static text from external ...
pythonnlpdata-scienceragllmgenaiollamagenai-usecase UpdatedSep 29, 2024 Jupyter Notebook ametnes/nesis Star47 Code Issues Pull requests Discussions Your AI Powered Enterprise Knowledge Partner. Designed to be used at scale from ingesting large amounts of documents formats such as pdfs, docx, xlsx...
According to the example:[Chroma - LlamaIndex 🦙 0.7.22 (gpt-index.readthedocs.io)](https://gpt-index.readthedocs.io/en/stable/examples/vector_stores/ChromaIndexDemo.html#basic-example-using-the-docker-container) Normally, we delete or modify a document based on our query, not based on th...
5. Ollama Ollamais a more user-friendly alternative to Llama.cpp and Llamafile. You download an executable that installs a service on your machine. Once installed, you open a terminal and run: $ ollama run llama2 Ollama will download the model and start an interactive session. Ollama pr...
Llama. * Both Yi and Llama are all based on the Transformer structure, which has been the standard architecture for large language models since 2018. * Grounded in the Transformer architecture, Llama has become a new cornerstone for the majority of state-of-the-art open-source models due to...
LangChain Python Link LiteLLM Python LinkCost and quota considerations for Meta Llama models deployed as serverless API endpointsQuota is managed per deployment. Each deployment has a rate limit of 200,000 tokens per minute and 1,000 API requests per minute. However, we currently limit one deplo...
Compatible with all LangChain LLMs including GPT-4, Claude 3, and Llama 2. eval https://github.com/browser-use/eval WebVoyager evaluation for Browser Use This repository is a fork oforiginal repo Evaluation runs The file structure is the same as the original repo. The only difference is ...
It offers observability for common large language model frameworks, such as LlamaIndex, Dify, LangChain, OpenAI, and Qwen, and provides richer metrics, traces, and continuous profiling data. For more information, see Monitor Python applications. Background information ...
For more information, see Deploy LLM applications in EAS. Inference Acceleration Inference acceleration can be enabled for the Qwen, Llama2, ChatGLM, or Baichuan2 model that is deployed on A10 or GU30 instances. The following inference acceleration method...
There are a variety of frameworks for connecting LLMs to your data sources, such as LangChain and LlamaIndex. These frameworks provide a variety of features, like evaluation libraries, document loaders, and query methods. New solutions are also coming out all the time. We recommend reading abou...