To help improve the accuracy of AI responses, Meta launches new generative AI tool.
Meta’s trying to tackle the problem of generative AI tools producing inaccurate or misleading responses, by, ironically, using AI itself, via a new process that it’s calling “Shepherd”
As you can see in this example below, Meta’s new Shepherd LLM is designed to critique model responses, and suggest refinements, in order to power more accurate generative AI outputs.
In the words of Meta –
“At the core of our approach is a high-quality feedback dataset, which we curate from community feedback and human annotations. Even though Shepherd is small (7B parameters), its critiques are either equivalent or preferred to those from established models including ChatGPT. Using GPT-4 for evaluation, Shepherd reaches an average win rate of 53-87% compared to competitive alternatives. In human evaluation, Shepherd strictly outperforms other models and on average closely ties with ChatGPT.”
Meta’s new generative AI tool is called Shepherd.
So while generative AI is impressive in what it can provide now, it’s getting closer to being more reliable as an assistive tool, and likely a bigger part of your workflow too.
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