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0:57
YouTube
Technical Suneja
The Truth About Prompt Engineering 💯 #shorts #ai #jobs
AI is changing software engineering faster than ever, but what does that really mean for developers, testers, students, and the future of tech? In this podcast with Sumit Goyal, we discuss AI, coding jobs, QA automation, prompt engineering, AI interviews, Playwright, MCP, Claude, and the skills that will matter in 2026. No hype. No fear. Just ...
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¡¿Qué?! ¡No es una estafa! 🔍 👉🏻 Código $0: kjy7392 Busca el código en la barra de búsqueda de la app de TEMU. 🔗 Enlace en mi biografía.⚡ Reclama el tuyo y deja de preguntar por qué no te funciona. 😅 (Solo con compras que califiquen. Aplican términos y condiciones ❤️) 📦 #fyp #parati #viral #familytime
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AI agents default to generating code. Ponytail makes your agent ask whether it should. Before writing anything, the skill forces it to reason like the laziest senior developer in the room — the one who knows the best code is the code you never wrote. Can this be done by deleting something? Reusing what exists? Not building it at all? Less code, less surface area, fewer bugs. The senior-engineer instinct, bottled into a skill. #github #opensource
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Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
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