AI Tools

Nous Research has introduced NousCoder-14B, a competitive Olympiad programming model that is trained on the Qwen3-14B using reinforcement learning (RL) with verifiable rewards. On the LiveCodeBench v6 benchmark, which covers …

NVIDIA researchers released PersonaPlex-7b-v1, a full-duplex speech-to-speech conversation model that targets natural voice interactions with precise persona control. From ASR→LLM→TTS to a single full-duplex model Traditional voice assistants typically run …

In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason on evidence, …

What no one tells you about bringing large language models to production: It starts with user stories. I know I know. User stories feel like the product team is always …

def _now_iso() -> str: return datetime.utcnow().replace(microsecond=0).isoformat() + “Z” def _stable_id(prefix: str, seed: str) -> str: h = hashlib.sha256(seed.encode(“utf-8″)).hexdigest()(:10) return f”{prefix}_{h}” class MockEHR: def __init__(self): self.orders_queue: List(SurgeryOrder) = () self.patient_docs: Dict(str, …

Author(s): Sainath Palla Originally published on Towards AI. Over the past few years, most conversations about AI have focused on model size, speed, or how many parameters a system can …

Author(s): hainan Originally published on Towards AI. How AI learns not just keywords but also meaning Modern AI systems are no longer judged by how fast they retrieve data, but …

Author(s): Ajit Originally published on Towards AI. Getting Structured Output from LLM: Guide to Prompts, Parsers, and Tools Large language models (LLMs) like GPT-4 are incredibly powerful at generating human-like …

In this tutorial, we create a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement …