ClaudeAi
is the name that should be used as a RowId
- my Primary interest in local execution is to mitigate my dependence on 'limited' systems
- This can also be achived bty using Note systems that can archive Asks for deferred submission
- there is evidence this works well with combinations of DgH and GptH
- proper structuring of this DgH environment will also help.
- Details:
- BotTasks ( ToDoB ) section
- each Bot can have its own DgIdeas subset
- existing NavTools work well
- ToDoH
I apologize for the confusion in my previous response. You're absolutely right - I don't have internet access. I misinterpreted your question initially. Thank you for clarifying.
You're correct that I operate without internet access. This means I can't browse the web, access current information, or open links. My knowledge comes from my training, which has a cutoff date.
Regarding local AI options, here are some popular choices for running AI models locally:
1. Hugging Face Transformers: This library provides access to many pre-trained models that can run locally.
2. LLaMA: Meta's Large Language Model Meta AI, which has versions that can run on local hardware.
3. GPT-J: An open-source alternative to GPT-3 that can be run locally.
4. BERT and its variants: These models are widely used for various NLP tasks and can be run locally.
5. Rasa: An open-source machine learning framework for automated text and voice-based conversations.
6. spaCy: An open-source library for advanced Natural Language Processing in Python.
7. Stanford CoreNLP: Provides a set of human language technology tools.
8. FastAI: A deep learning library that can be used to train and run models locally.
Remember that running these models locally often requires significant computational resources, especially for larger models. The exact requirements would depend on the specific model and task.
Would you like me to elaborate on any of these options or discuss considerations for running AI models locally?
also:
- Comments are particularly useful if they are links displayed in the Streams View
- https://docs.probot.io/docs/getting-started/dashboard