A chatbot interface called ChatLLaMA was created for Facebook’s LLaMA, a group of expansive language models introduced by Meta. Even though LLaMA is smaller than GPT-3, it performs better. For instance, the 13B model performs admirably despite being a tenth the size of the GPT-3.
Such models may run effectively on a single GPU, making them cost-effective, and they promise quick inference speeds and real-time support like chatGPT. However, LLaMA was not improved with the use of a mechanism called reinforcement learning using human feedback. LLaMA’s 7 billion-parameter model, which was optimised using the Alpaca dataset, is used by ChatLLaMA as an interaction platform.
- Social media managers
- Customer support representatives
- Chatbot developers
- AI enthusiasts
- Businesses seeking cost-effective AI solutions
- Content creators
- Educators in AI and technology fields.
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