Author(s): Youssef Hosni Originally published on Towards AI. Keep up to date with recent major language model research Large language models (LLMs) have advanced rapidly in recent years. As new …
AI Tools
-
-
Knowledge graphs and their limitations With the rapid development of AI applications, knowledge graphs (KGs) have emerged as a fundamental structure to represent knowledge in a machine-readable form. They organize …
-
Image by author # Introduction Technical interviews are not about memorizing random questions. They are about demonstrating clear thinking, strong fundamentals and the ability to reason under pressure. The quickest …
-
-
AI Tools
Nuss Research releases NussCoder-14b: a competitive Olympiad programming model, post-trained on QUEN3-14b via reinforcement learning.
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 …
-
AI Tools
NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natural and Full-Duplex Conversations
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 …
-
AI Tools
How to Build a Self-Assessing Agent AI System with LlamaIndex and OpenAI Using Retrieval, Tool Usage, and Automated Quality Check
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, …
-
-
AI Tools
How to Build a Secure, Autonomous Pre-Authorization Agent for Healthcare Revenue Cycle Management with Human-in-the-Loop Control
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, …
-