Table of contents A Multimodal Radiology Breakthrough The Challenge: Moving Beyond Image Classification Human‑in‑the‑Loop at Clinical Scale The Dataset: PadChest‑GR […]
Category: Applications
Australia’s Large Language Model Landscape: Technical Assessment
Key Points No flagship, globally competitive, locally developed LLM (such as GPT-4, Claude 3.5, LLaMA 3.1) has yet emerged from […]
Nous Research Team Releases Hermes 4: A Family of Open-Weight AI Models with Hybrid Reasoning
Nous Research has released Hermes 4, a family of open-weight models (14B, 70B, and 405B parameter sizes based on Llama […]
Meta AI Introduces DeepConf: First AI Method to Achieve 99.9% on AIME 2025 with Open-Source Models Using GPT-OSS-120B
Large language models (LLMs) have reshaped AI reasoning, with parallel thinking and self-consistency methods often cited as pivotal advances. However, […]
NVIDIA AI Released Jet-Nemotron: 53x Faster Hybrid-Architecture Language Model Series that Translates to a 98% Cost Reduction for Inference at Scale
NVIDIA researchers have shattered the longstanding efficiency hurdle in large language model (LLM) inference, releasing Jet-Nemotron—a family of models (2B […]
Google AI Introduces Gemini 2.5 Flash Image: A New Model that Allows You to Generate and Edit Images by Simply Describing Them
Table of contents What Makes Gemini 2.5 Flash Image Impressive? Key Technical Features Benchmark Leadership and Community Reception Pricing, Access, […]
Microsoft Released VibeVoice-1.5B: An Open-Source Text-to-Speech Model that can Synthesize up to 90 Minutes of Speech with Four Distinct Speakers
Table of contents Key Features Architecture and Technical Deep Dive Model Limitations and Responsible Use Conclusion FAQs Microsoft’s latest open […]
SEA-LION v4: Multimodal Language Modeling for Southeast Asia
AI Singapore (AISG) has released SEA-LION v4, an open-source multimodal language model developed in collaboration with Google and based on […]
Google AI Introduced Guardrailed-AMIE (g-AMIE): A Multi-Agent Approach to Accountability in Conversational Medical AI
Recent advances in large language model (LLM)-powered diagnostic AI agents have yielded systems capable of high-quality clinical dialogue, differential diagnosis, […]
Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT)
Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct […]