This article discusses the distinction between real agents and simple workflows in the context of AI and language models. Many systems labeled as agents are often just basic API calls that respond to prompts without true independence or decision-making abilities. The author argues that a genuine agent should be able to reason, reflect, and make ...
OpenAI’s recent complaint against China’s DeepSeek appears to be more of a desperation move than a legitimate concern. The company criticized DeepSeek for using a technique called “distillation,” which involves training a smaller AI model based on the output of a larger one. Many see the irony in this, as distillation is a common practice ...
This article explores the truth about AI agents based on large language models (LLMs), debunking common myths and clarifying key terms. It aims to provide a balanced view of what these AI agents can realistically do, focusing on their capabilities and limitations. The discussion includes various categories of AI agents, like task-specific and workflow agents, ...
Google has released a free white paper explaining how AI agents function and their potential capabilities. These AI agents can observe their surroundings, make decisions, and take actions independently to achieve specific goals, reducing the need for ongoing human intervention. The paper details three essential components that make up these agents: the central AI model, ...
A recent study by Ziff Davis reveals that major AI companies like Google, OpenAI, and Meta are increasingly relying on content from trusted news sources when training their language models. This approach highlights the significance of high-quality media content in shaping the information that chatbots provide. The findings suggest that prominent publishers, such as News ...
Hugging Face has introduced SmolLM2, a new series of compact language models designed for high performance with less computational power. Available in three sizes—135M, 360M, and 1.7B parameters—these models excel in functionalities like instruction following and reasoning, making them ideal for smartphones and edge devices. Notably, the 1.7B model outperforms larger models like Meta’s Llama ...
