SOBRE ESTE EPISÓDIO
Reinforcement Learning from Human Feedback (RLHF) is a powerful machine learning technique that enhances the alignment of artificial intelligence (AI) systems with human preferences. By integrating human feedback into the training process, RLHF has become a cornerstone for fine-tuning large language models (LLMs) such as GPT-4 and Claude, enabling them to generate more accurate, helpful, and contextually appropriate outputs.
Inglês
Estados Unidos da América
TRANSCRIÇÃO 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
PESQUISAR EPISÓDIOS PASSADOS
Pesquisar episódios anteriores de Continuous Improvement .
OUTROS EPISÓDIOS NESTE PODCAST
In alternative investments, climate change is increasingly moving from the sustainability function into the investment committee. Private equity, private debt, real estate, and infrastructure investors are discovering that climate risk is not simply a reporting obligation or an ESG consideration. I…
Uncertainty is often treated as a problem to be solved. Organizations commission forecasts, build business cases, develop scenarios, and create increasingly sophisticated models in the hope that better information will make the future predictable. Yet the most consequential decisions in an enterpri…
The transition to a net-zero economy is no longer a peripheral ESG initiative. It is an economy-wide structural transformation that is changing the assumptions underpinning investment, risk management, valuation, and capital allocation. Climate change is increasingly moving from the sustainability …
The early years of sustainable finance were largely defined by exclusion. If a company operated in a high-carbon sector, portfolio managers could apply a screening rule, remove the security from the investable universe, and move on. From an architecture perspective, this was relatively straightforw…
The investment management industry is facing a fundamental architectural challenge. For years, environmental, social, and governance (ESG) factors have often been treated as overlays—separate datasets acquired from external vendors, stored in specialized platforms, and consulted by investment teams…
Aviso: O podcast e a arte incorporada nesta página são de Victor Leung, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
