1. **Parameter-efficient Finetuning (PEFT) Methods**: These methods update only a fraction of the weights, reducing memory usage and training time.
2. **Representation Finetuning (ReFT) Methods**: They train interventions to manipulate a small fraction of model representations, steering model behaviors to solve downstream tasks at inference time.
3. **Low-rank Linear Subspace ReFT (LoReFT)**: This method intervenes on hidden representations in the linear subspace spanned by a low-rank projection matrix, demonstrating state-of-the-art performance on various benchmarks while using significantly fewer parameters than traditional PEFT methods.
4. **Evaluation Practices**: It’s essential to establish fair benchmarks for comparing PEFTs and ReFTs, ensuring real-world performance assessment.
5. **AI Solutions for Business Evolution**: Identify automation opportunities, define KPIs, select an AI solution, and implement gradually.
6. **AI Sales Bot from aidevmd.com/aisalesbot**: This bot can automate customer engagement 24/7 and manage interactions across all customer journey stages.
Useful Links:
– AI Lab in Telegram @aiscrumbot – free consultation
– Twitter – @itinaicom
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