Offline AI vs Online AI

You have probably used OpenAI’s ChatGPT or Anthropic’s Claude, both extremely capable and powerful artificial intelligence apps.

You may not have used a fully offline AI, like Llama 3, which can run on your personal device like iPhone, iPad or laptop on Survivalist.ai.

So what are the differences between offline AI and their online counterparts?

AspectOffline AI
(e.g., Llama 3)
Online AI
(e.g., Claude, GPT)
Pros1. Privacy – data stays on device
2. No internet connection required
3. No usage costs after initial download
4. Potentially faster response times
1. More powerful and capable
2. Regularly updated with new information
3. No local storage or processing power required
4. Can handle a wider range of tasks
Cons1. Limited by device’s computational power
2. Takes up storage space
3. May have less up-to-date information
4. Typically less capable than large online models
1. Requires internet connection
2. Potential privacy concerns with data transmission
3. Usage may incur costs
4. Dependent on service availability

Offline AI (e.g., Llama 3, Phi-3)

Pros:

  1. Privacy: All data processing occurs locally on your device, which means your queries and personal information aren’t transmitted to external servers. This can be crucial for sensitive or confidential information.
  2. No internet connection required: Once downloaded, you can use the AI model anywhere, anytime, without needing an internet connection. This is particularly useful in areas with poor connectivity or when traveling.
  3. No usage costs after initial download: After the initial download (which might be free or have a one-time cost), you can use the model as much as you want without incurring additional charges.
  4. Potentially faster response times: Since processing happens locally, responses can be near-instantaneous, especially for simpler queries. There’s no latency from sending data to and receiving responses from remote servers.

Cons:

  1. Limited by device’s computational power: The model’s performance is constrained by your device’s processing capabilities. This can result in slower performance on less powerful devices or limit the size and capability of the model you can run.
  2. Takes up storage space: Large language models can require significant storage space on your device, which might be an issue for devices with limited capacity.
  3. May have less up-to-date information: The model’s knowledge is limited to what was included when it was trained or last updated. It won’t have real-time information about current events or recent developments.
  4. Typically less capable than large online models: Due to the constraints of running on a local device, these models are often smaller and less powerful than their online counterparts, potentially limiting their capabilities and the quality of their outputs.

Online AI (e.g., Claude and GPT):

Pros:

  1. More powerful and capable: Online models can leverage vast computational resources, allowing them to be much larger and more sophisticated. This typically results in higher quality outputs across a wider range of tasks.
  2. Regularly updated with new information: These models can be continuously updated with new data and improvements, ensuring they have more current information and capabilities.
  3. No local storage or processing power required: The model runs on remote servers, so it doesn’t take up space or computational resources on your device. This allows even devices with limited capabilities to access powerful AI.
  4. Can handle a wider range of tasks: Due to their size and sophistication, online models can typically handle a broader spectrum of tasks and queries, from creative writing to complex problem-solving.

Cons:

  1. Requires internet connection: You need a stable internet connection to use these services. Poor connectivity can result in slow response times or service interruptions.
  2. Potential privacy concerns: Your queries and potentially sensitive information are sent to external servers for processing. While reputable services have strong security measures, some users may be uncomfortable with this data transmission.
  3. Usage may incur costs: Many advanced AI services charge based on usage. While some offer free tiers, heavy use or access to more advanced features often comes with a cost.
  4. Dependent on service availability: If the service experiences downtime or is discontinued, you lose access to the AI. You’re also subject to any changes in service terms or functionality that the provider implements.