After making these changes, you should be able to import the Code Interpreter Tool from the llama hub. If you're still encountering issues, it could be due to a problem with your Python environment or the way you're trying to import the module. Unfortunately, I cannot see the link you ...
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...
git clone https://github.com/ggerganov/llama.cppcdllama.cpp mkdir build# I use make method because the token generating speed is faster than cmake method.# (Optional) MPI buildmakeCC=mpiccCXX=mpicxxLLAMA_MPI=1# (Optional) OpenBLAS buildmakeLLAMA_OPENBLAS=1# (Optional) CLBlast buildmakeLLAM...
LlamaIndexis a powerful tool to implement the“Retrieval Augmented Generation” (RAG)concept in practical Python code. If you want to become anexponential Python developerwho wants to leverage large language models (aka.Alien Technology) to 10x your coding productivity, you’ve come to the right ...
Code snippet 3 —missing data imputation And that’s it — missing values are now imputed! But how do weevaluatethe damn thing? That’s the question we’ll answer next. MissForest evaluation To perform the evaluation, we’ll make use of our copied, untouched dataset. We’ll add two...
In this section, you use the Azure AI model inference API with a chat completions model for chat. რჩევა The Azure AI model inference API allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Meta Llama Instruct models - ...
To know more about how to use OpenAI’s GPT models, read our article Using GPT-3.5 and GPT-4 via the OpenAI API in Python. Below, you can find a list of some other popular LLMs: BERT. Google in 2018 and released in open-source, BERT is one of the first modern LLM and one of...
description="The Hub commit to pull from", ) ) prompt.invoke({"question": "foo", "context": "bar"}) #在prompt中进行配置 prompt.with_config(configurable={"hub_commit": "rlm/rag-prompt-llama"}).invoke( {"question": "foo", "context": "bar"} ...
$ python generate.py --load_8bit --base_model 'decapoda-research/llama-7b-hf' --lora_weights 'tloen/alpaca-lora-7b' Output: It has two URLs, one is public, and one is running on the localhost. If you use Google Colab, the public link can be accessible. ...
The getimmersivereaderlaunchparams API endpoint should be secured behind some form of authentication (for example, OAuth) to prevent unauthorized users from obtaining tokens to use against your Immersive Reader service and billing; that work is beyond the scope of this tut...