The scenario illustrates the power of iPaaS in action. For many enterprises, iPaaS turns what was once a costly, complex…
Browsing: Ai
Understanding Limitations of Current Reward Models Although reward models play a crucial role in Reinforcement Learning from Human Feedback (RLHF),…
If in retrospect all that seems obvious, it’s only because the research by David Autor, an MIT labor economist, and…
ByteDance, the Chinese tech giant behind TikTok and other global platforms, has officially released Trae Agent, a general-purpose software engineering…
The Agent Communication Protocol (ACP) is an open standard designed to enable seamless communication between AI agents, applications, and humans.…
Optimizing LLMs for Human Alignment Using Reinforcement Learning Large language models often require a further alignment phase to optimize them…
In this tutorial, we explore how to build an intelligent and self-correcting question-answering system using the DSPy framework, integrated with…
TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo antibody design. Achieving a 16%…
Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend to perform well on familiar…
Kyutai, an open AI research lab, has released a groundbreaking streaming Text-to-Speech (TTS) model with ~2 billion parameters. Designed for…