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Reinforcement learning (RL) plays a crucial role in scaling language models, allowing them to solve complex tasks such as competitive-level mathematics and programming through deeper inference. However, achieving stable and reliable training motivation is...
This article provides a technical comparison of two recently released Experts (MOE) transformer models: Alibaba’s QWEN3 30B-A3B (issued in April 2025) and OpenAI’s GPT-oss 20B (issued in August 2025). Both models represent different approaches...
Google DeepMind announced Genie 3, a revolutionary AI system that generates interactive, physically consistent virtual worlds from simple text prompts. This marks a substantial leap in the world’s model field – a class of...
this Model Context Protocol (MCP) It has quickly become the basic standard for connecting large language models (LLMs) and other AI applications with their truly useful systems and data. In 2025, MCP is widely...
The Speaking Dialogue Model (SDMS) is located at the boundary of dialogue AI, allowing seamless spoken interaction between people and machines. However, as SDM becomes an integral part of digital assistants, smart devices and...
@dataclass class Task: id: str description: str priority: int status: TaskStatus = TaskStatus.PENDING dependencies: List[str] = None result: Optional[str] = None def __post_init__(self): if self.dependencies is None: self.dependencies = [] class SAGEAgent: “””Self-Adaptive Goal-oriented...
Openai just sent an earthquake wave in the AI world: The company released for the first time not one, but two open language models since its debut in 2019. Meet gpt-oss-1220b and GPT-oss-20b– Anyone...
LLM is deployed through dialogue interfaces that have beneficial, harmless and honest assistant roles. However, they are unable to maintain consistent personality traits throughout the training and deployment phase. LLMS displays dramatic and unpredictable...
class GeminiAutoGenFramework: “”” Complete AutoGen framework using free Gemini API Supports multi-agent conversations, code execution, and retrieval “”” def __init__(self, gemini_api_key: str): “””Initialize with Gemini API key””” self.gemini_api_key = gemini_api_key self.setup_gemini_config() self.agents: Dict[str, autogen.Agent]...
In today’s data-driven world, valuable insights are often buried in unstructured texts such as clinical notes, lengthy legal contracts, or customer feedback threads. Extracting meaningful traceable information from these documents is both a technical...