Large Language Model – Page 8

From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and […]

New fully open and transparent large language model launches — it’s Swiss, of course

The Swiss have something of a reputation for being methodical — particularly when it comes to things like banking — […]

Memory-R1: How Reinforcement Learning Supercharges LLM Memory Agents

Large language models (LLMs) now stand at the center of countless AI breakthroughs—chatbots, coding assistants, question answering, creative writing, and […]

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 […]

Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide

Table of contents 1. Regulatory and Risk Posture 2. Capability vs. Cost, Latency, and Footprint 3. Security and Compliance Trade-offs […]

Meet South Korea’s LLM Powerhouses: HyperClova, AX, Solar Pro, and More

South Korea is rapidly establishing itself as a key innovator in large language models (LLMs), driven by strategic government investments, […]

NVIDIA AI Releases Nemotron Nano 2 AI Models: A Production-Ready Enterprise AI Model Family and 6x Faster than Similar Sized Model

NVIDIA has unveiled the Nemotron Nano 2 family, introducing a line of hybrid Mamba-Transformer large language models (LLMs) that not […]

Category: Large Language Model