Synthesia Reveals First AI Avatar with Human Expressions
Key Takeaways Synthesia's "Expressive Avatars" can now reply to textual content prompts with human-like expressions and actions; These enhancements are ...
Tag: Human
Researchers at Stanford University Explore Direct Preference Optimization (DPO): A New Frontier in Machine Learning and Human Feedback
Exploring the synergy between reinforcement studying (RL) and huge language fashions (LLMs) reveals a vibrant space of computational linguistics. These ...
AI-Controlled Fighter Jets Are Dogfighting With Human Pilots Now
Searching for love? Watch out what you want for.A loose-knit neighborhood of con artists often called Yahoo Boys has begun ...
Human Rights Foundation Announces Finney Freedom Prize On Fourth Bitcoin Halving
At present, on the day of the fourth Bitcoin halving, the Human Rights Basis (HRF) introduced the Finney Freedom Prize, ...
New privacy-preserving robotic cameras obscure images beyond human recognition
From robotic vacuum cleaners and good fridges to child screens and supply drones, the good gadgets being more and more ...
Detained Binance Exec Sues Nigerian Goverment Over Human Rights Violations
A Binance government detained in Nigeria has sued the federal government for violating his basic human rights.In keeping with native ...
UC Berkeley Research Presents a Machine Learning System that Can Forecast at Near Human Levels
Within the evolving panorama of predictive analytics, the artwork and science of forecasting stand as pivotal instruments for decision-making throughout ...
Researchers from NVIDIA and the University of Maryland Propose ODIN: A Reward Disentangling Technique that Mitigates Hacking in Reinforcement Learning from Human Feedback (RLHF)
The well-known Synthetic Intelligence (AI)-based chatbot, i.e., ChatGPT, which has been constructed on prime of GPT’s transformer structure, makes use ...
This AI Paper from Stanford and Google DeepMind Unveils How Efficient Exploration Boosts Human Feedback Efficacy in Enhancing Large Language Models
Synthetic intelligence has seen outstanding developments with the event of enormous language fashions (LLMs). Due to methods like reinforcement studying ...
This AI Paper from ETH Zurich, Google, and Max Plank Proposes an Effective AI Strategy to Boost the Performance of Reward Models for RLHF (Reinforcement Learning from Human Feedback)
In language mannequin alignment, the effectiveness of reinforcement studying from human suggestions (RLHF) hinges on the excellence of the underlying ...