By far one of my favorite use cases for Claude is instantly writing disposable one-off scripts to accomplish whatever bespoke task I'm trying to do. Legitimately feels like a superpower for using computers.
LLMS
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LLM Architecture Becomes Demystified and More Accessible
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Also I feel like LLM architecture is demystified now and we have enough open datasets too. It’s not as high skill bracket as it was a couple of years ago.
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From Bench to Bot: The Importance of Prompt Engineering
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From bench to bot: How important is prompt engineering?
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz -
LLM Building: Status Play or Commercial Strategy for TCS and Wipro?
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I feel like asking TCS or Wipro to build an LLM is more a status thing than a commercial thing and also explains why startups exist. Play the story out. Let’s say they commit resources and build it. The LLM space is quite commoditised — the utility of whatever they end up
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Using Large Context Windows for AI Automation
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Les fenêtres contextuelles était trop courte à l’époque. Mais avec Gemini et son million de token il y a moyen d’automatiser ça sûrement maintenant oui
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Citations in RAG: Building Trust and Reducing AI Hallucinations
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In the world of AI, trust is key. Citations enhance trust and reduce hallucination risks. They provide a bridge between AI responses and underlying data, adding transparency. At Cohere, we optimize our models for RAG, providing real-time citations. This ensures the most
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Voice AI and RTC capabilities advance in 2025
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2025,大模型能力依然不断提升,Voice AI 会继续在语义理解,延迟,情感,功能和多模态交互等方面得到加强。 回声,噪声,自动增益控制(3A),稳定性,弱网适应以及多模态实时交互能力上,RTC 依然展现出不可替代的核心优势,且会持续迭代升级。 如果去年大家都觉得 Voice AI 只能做 Call Center
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Choosing the Right AI Model and UI for Development Efficiency
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It’s not about always using the most advanced model. Some, like o1, can be phenomenal but are overkill for most cases. It’s about finding the right model and UI for the job. Cursor’s integrated workflow or 4o with Canvas, for instance, has been a game-changer for efficiency.
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AI Models Selection Guide: Tasks and Tools Recommendations
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4o for quick tasks Claude 3.5 Sonnet for conversation-related (human voice) tasks Cursor and 4o for coding o1 for tackling complex, multi-step tasks 4o + Canvas for text editing Google search with Gemini + Perplexity for internet and fact-related queries
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How AI Tool Preferences Evolved: From ChatGPT to Specialized Agents
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Did you reflect on how your AI Habits Evolved in 2024? I just did, here's a quick recap: One year ago, I relied on ChatrGPT (GPT-4) for everything. Now? Until we get to AGI (or ASI, whatever), there's a power of strategic specialization… This is what I currently prefer:
