A technical analysis of the DeepSeek model series, from V3 to the latest V3.2, covering architecture, performance, and release timeline.
Analyzes the architectural advancements in OpenAI's new open-weight gpt-oss models, comparing them to GPT-2 and other modern LLMs.
Explores how large language models (LLMs) are transforming industrial recommendation systems and search, covering hybrid architectures, data generation, and unified frameworks.
A Google researcher's curated review of key AI research papers from 2024, covering LLMs, new architectures, agents, and security.
An overview of the top 10 open research challenges in Large Language Models (LLMs), focusing on reducing hallucinations and optimizing context learning.
