La plupart des gens utilisent ChatGPT pour des tâches basiques: Écrire un texte, faire un résumé et reformuler. Mais son vrai pouvoir ? Automatiser des tâches complexes à haute valeur. Voici 10 prompts qui peuvent littéralement remplacer des heures (voire des jours) de
LLMS
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AI Tool for Client Feedback Analysis and Improvement
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10. Analyse de Sentiment Client "Analyse ces retours clients : [TEXTE]
→ Classe sentiments → Identifie frustrations → Détecte opportunités → Propose plan d’amélioration" Transforme feedback en croissance. -
AI Tool for Advanced Data Analysis: Correlations, Predictions, and Recommendations
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4. Analyse de Données Avancée "Analyse ce dataset : [DÉTAILS]
→ Trouve corrélations cachées → Prédit tendances futures → Génère graphiques → Donne recommandations stratégiques" Transforme des données brutes en décisions concrètes. -
Unlocking ChatGPT’s True Power: Advanced Tasks and High-Value Automation with 10 Prompts
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La plupart des gens utilisent ChatGPT pour des tâches basiques: Écrire un texte, faire un résumé et reformuler. Mais son vrai pouvoir ? Automatiser des tâches complexes à haute valeur. Voici 10 prompts qui peuvent littéralement remplacer des heures (voire des jours) de
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OpenAI intern researcher release evaluation LLM research capabilities
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I'm very curious about OpenAI's planned intern researcher release by September this year. Having tried using current LLMs for OpenAI's Golf Challenge, I would say that Codex & Opus are actively bad researchers (not meaningful difference between them)
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Integer Overflow Bug Fix in vLLM: uint32_t to size_t
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4/4 The fix upstream? Two characters, basically:uint32_t → size_t Weeks of debugging for one tiny type-width bug. Great reminder that in RL infra, the hardest part is often finding the right boundary around the failure. 👉Blog with the full investigation + the upstream vLLM PR: ai21.com/blog/vllm-cuda-inte…
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Silent 32-bit Integer Overflow in vLLM Mamba-1 CUDA Kernel
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3/4 Root cause: a silent 32-bit integer overflow inside a vLLM CUDA kernel for Mamba-1 selective scan forward kernel. cache_index * ssm_states_batch_stride overflowed once cache slots got large enough, corrupting writes with no crash and no warning.
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Discovery of a logprob anomaly during Jamba training
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1/4 We hit a strange logprob mismatch while training Jamba 3B with GRPO. Rollout logprobs and training-side recompute should match before any weight update. Ours didn't. That was the canary. 🧵 [Translated from EN to English]
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Simple AI Scripts vs LLM-Driven Agents Infrastructure
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I don't think so. The AI is a pretty simple script. Yes, pathfinding may need some computation, but that's it. Ofc, if we then go next level -> use LLM driven AI agents, then that would require some server, GPU, cloud, etc. But that's an optional and nice to have addition.
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AI21Labs découvre débordement uint32 dans kernel CUDA vLLM Mamba-1
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Thanks to @AI21Labs for tracking down a silent uint32 overflow in vLLM's Mamba-1 CUDA kernel and contributing the fix. Root cause: `uint32_t` stride × cache_index overflows silently at scale. Fix merged in #35275. The debugging story is worth a read. 🔗 ai21.com/blog/vllm-cuda-inte…