Sources
Denis Yarats
We are entering an era where LLMs are being optimized for real user satisfaction by learning from both explicit and implicit feedback. In addition to enhancing accuracy and factuality, we also prioritize readability and comprehension. Streaming answers at 1200 t/s helps a lot… https://t.co/KRvw6GQPKs
Rohan Paul The paper addresses the challenge of large memory footprint in LLMs, hindering their deployment on devices with limited resources. The paper introduces a novel compression technique to reduce LLM size while maintaining performance. This paper proposes , a post-training… https://t.co/5jbuPsT8Sj
- Rohan Paul
The paper addresses the question of whether LLMs can explore effectively in open-ended tasks, similar to humans. Current LLMs excel in many areas but their ability to discover new information through exploration remains under-examined. Proposes to evaluate LLMs' exploration… https://t.co/igqZ9R792L
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