large language models
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Software is Changing (Again): Key Takeaways from Andrej Karpathy’s Talk at YC AI Startup School
Andrej Karpathy’s talk at Y Combinator’s AI Startup School explores Software 3.0, the rise of LLMs as programmable computers, vibe coding, and building partial autonomy apps. Learn how AI is transforming how we build — and who gets to build — the future of software.
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OpenAI Unveils GPT-4.1: A Quantum Leap in AI Performance and Efficiency
OpenAI’s latest release, GPT-4.1, redefines AI capabilities with a massive 1 million-token context window, enhanced coding and instruction-following skills, and cost-effective performance. Discover how GPT-4.1 and its Mini and Nano variants are set to transform AI applications across industries.
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Understanding Large Language Models (LLMs): The Basics of Their Math, Training, and Inference
Large Language Models (LLMs) have transformed the world of artificial intelligence, enabling machines to generate human-like text, answer questions, and even write code. But how do they actually work? This article breaks down the key concepts behind LLMs in a way that is easy to understand, with just enough math to show how things come…
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The Future of Artificial Intelligence
Artificial Intelligence is rapidly evolving, particularly through advancements in generative AI, large language models (LLMs), and autonomous AI agents. These innovations are reshaping industries by automating tasks, enhancing productivity, and augmenting human capabilities. However, limitations exist, such as biases and inaccuracies, necessitating careful integration and oversight. A balanced approach can maximize benefits while mitigating risks.
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