Custom LLMs

Custom LLMs (Large Language Models) are tailored artificial intelligence models designed to meet specific business, domain, or application needs. By fine-tuning or configuring models on custom datasets, organizations can achieve more accurate, context-aware, and controlled language understanding compared to general-purpose pretrained models.

Features of Custom LLMs:

• Domain-specific model behavior through fine-tuning or prompt customization.
• Improved accuracy and relevance using proprietary or curated datasets.
• Support for conversational AI, content generation, summarization, and reasoning tasks.
• Flexible deployment options including local, on-premises, and private environments.
• Greater control over data privacy, model outputs, and system behavior.

Custom LLMs Usage:

$ sudo su
$ sudo apt update
$ ollama run llama3.2:1b 
$ Get started with your model and chat on your wish!
$ Inside the shell: /show info to know model details.
    

Disclaimer: Custom LLM implementations may rely on open-source or proprietary language models and supporting tools, each distributed under their respective licenses. These models are developed and maintained by their original authors or communities. The software is provided "as is," without warranties or guarantees of any kind. Users are responsible for ensuring lawful use, licensing compliance, and suitability for their specific artificial intelligence and data processing requirements.