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Ai and python ollama for local llm ai usage
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certainly! ollama is a tool that simplifies the use of large language models (llms) locally on your machine. it provides an easy interface to work with these models using python. in this tutorial, i'll guide you through setting up ollama and using it for local ai applications.
### prerequisites
3. **basic python knowledge**: familiarity with python syntax and basic programming concepts.
### step 1: install ollama
**for macos:**
**for linux:**
**for windows:**
### step 2: setting up a local model
once ollama is installed, you can pull a model to use locally. for example, let's pull the `llama2` model:
this command will download the llama 2 model and set it up for local usage.
### step 3: using ollama with python
you can interact with the ollama models using python. below is a simple example of how to send prompts to the model and receive responses.
1. **install the required packages**:
you may need to install the `requests` package to interact with the ollama api. you can do this with pip:
2. **create a python script**:
here’s a simple script that uses the ollama model:
### step 4: running the script
2. open your terminal and navigate to the directory where the file is saved.
3. run the script:
you should see a response from the llama 2 model based on the prompt you provided.
### step 5: exploring further
you ...
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### prerequisites
3. **basic python knowledge**: familiarity with python syntax and basic programming concepts.
### step 1: install ollama
**for macos:**
**for linux:**
**for windows:**
### step 2: setting up a local model
once ollama is installed, you can pull a model to use locally. for example, let's pull the `llama2` model:
this command will download the llama 2 model and set it up for local usage.
### step 3: using ollama with python
you can interact with the ollama models using python. below is a simple example of how to send prompts to the model and receive responses.
1. **install the required packages**:
you may need to install the `requests` package to interact with the ollama api. you can do this with pip:
2. **create a python script**:
here’s a simple script that uses the ollama model:
### step 4: running the script
2. open your terminal and navigate to the directory where the file is saved.
3. run the script:
you should see a response from the llama 2 model based on the prompt you provided.
### step 5: exploring further
you ...
#python llm packages
#python llm example
#python llm tools
#python llm
#python llm agent framework
python llm packages
python llm example
python llm tools
python llm
python llm agent framework
python llm tutorial
python llm library
python llm agent
python llm api
python llm course
python local database
python local timezone
python local server
python locals
python locals() function
python localtime
python local keyword
python local import