@Yaaaaaashhh@NeelNanda5 Cool Going! Interpretability in ML is crucial. Many ML models are black boxes, so making them interpretable could lead to their use in economics and finance. These fields currently rely on statistics. It would be great to see when interpretability tools can be applied there.
@abhishekn@jamesbrandecon The relationship between data features and key performance indicators is often non-linear, requiring more nuanced approaches. This allows for more accurate predictions and informed decisions.
@abhishekn@jamesbrandecon While supervised fine-tuning is useful, RLHF actually outperforms SFT in market research, especially for complex consumer behavior. Simply exposing models to high-performing data isn't enough - we need specialized reward models to capture nuanced customer behavior.
I'm looking for speakers for FOSS Overflow. It's a GSoC-like paid internship organised by IIT Bhilai for students from all over India. If you ❤️ OSS and want to encourage more students to become a part of OSS, come help with our initiative. 💪
RT for karma 🙏
#opensource#gsoc
Becoming part of history in the internet world: ICANN’s approval for Indian script URLs was monumental. With 20+ official languages, 7 ICANN-approved IDNs, Hindi URLs remain underutilized due to English dominance and complex scripts. Simplifying Devanagari for keyboards is key