DeepSeek: A Cost-Effective Open-Source LLM Challenging ChatGPT

2025-02-08
DeepSeek: A Cost-Effective Open-Source LLM Challenging ChatGPT

DeepSeek, an open-source large language model (LLM) developed by a Chinese AI research company, is challenging ChatGPT with its unique Mixture of Experts (MoE) architecture. Its efficiency comes from activating only necessary parameters, resulting in faster speeds and lower costs. Features like multi-head attention and multi-token prediction enable superior performance in long conversations and complex reasoning. Despite concerns about its data sources, DeepSeek's cost-effectiveness and direct output style make it a compelling alternative to ChatGPT.

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AI

Under the Hood of ChatGPT: A Programmer's Perspective

2025-01-04
Under the Hood of ChatGPT: A Programmer's Perspective

This article provides a deep dive into how ChatGPT works, specifically geared towards programmers. Skipping over general AI/ML concepts, it focuses on OpenAI's ChatGPT model, explaining its architecture, the use of Transformer networks, and how Reinforcement Learning from Human Feedback (RLHF) fine-tunes it for conversational tasks. The article also details tokenization, model training, response generation, and the role of RLHF in ensuring accurate and contextually relevant responses.

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Development