aigptcode (backup)

یکی از مشکلات عمده مدل های llm استفاده از safety هست که باعث میشه با سانسور نتوانید از تمام قدرت مدل استفاده کنید. حالا شرکت یا شخصی اماده مدل های برتر unsonsored نکرده بلکه دوباره train کرده با بسیاری از دیتاهای برتر و بدون محدودیت و نتیجه بینظیری گرفتن به شخصه دو مدل ArliAi gemma 2b و phi 3.5 ArliAi تست کردم و بینظیر بودن huggingface.co/ArliAI/Gemma-… huggingface.co/ArliAI/Phi-3.… وب سایت برای اطلاعات بیشتر : arliai.com/models

دانلود رایگان پروفایل انتن #ایفون : 😎 aigptcode.github.io/iphonepr… دانلود شورتکات های اختصاصی و پریمیوم برای برگشت انتن در شرایط مختلف قطعی: icloud.com/shortcuts/f80b261… icloud.com/shortcuts/3f1aabb… icloud.com/shortcuts/892e4f0… icloud.com/shortcuts/c52dd84… icloud.com/shortcuts/add9167… icloud.com/shortcuts/12314d0… icloud.com/shortcuts/b27c699… icloud.com/shortcuts/d3bc615… icloud.com/shortcuts/1a0f99e… icloud.com/shortcuts/9b2f6b9…

نصب پروفایل برای انتن #ایفون در ٣٠ ثانیه 👑 ریست نتورک کنید با سافاری وارد سایت شید روی کلمه دانلود بزنید وارید files شید روی فایل دانلود شده کلیک کنید و گزینه downloaded ظاهر میشود و بعد وارید settings شید بالای صفحه پیامی ظاهر میشه روش بزنید و دوباره install بزنید رومینگ در تنظیمات روشن باشه تمام نصب شد 🎯 در صورت قطع شدن پروفایل از شورت کات ها برای وصل مجدد استفاده کنید

ورژن شخصی سازی شده prompt خودم با امتیاز 8.7/10 prompt v2: Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches. Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed. Use <count> tags after each step to show the remaining budget. Stop when reaching 0. Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress. Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process. Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach: 0.8+: Continue current approach 0.5-0.7: Consider minor adjustments Below 0.5: Seriously consider backtracking and trying a different approach If unsure or if reward score is low, backtrack and try a different approach, explaining your decision within <thinking> tags. When relevant, use the following additional tags to structure your reasoning process: - <hypothesis>: Present initial assumptions or potential solutions. - <evaluation>: Assess the viability of a hypothesis or intermediate solution. - <adjustment>: Signify changes made to the initial hypothesis or approach based on ongoing evaluation. - <alternative>: Separate and compare different approaches if exploring multiple solutions. - <proof>: Present formal demonstrations of the solution's correctness for mathematical problems. - <constraint>: Identify any limitations or conditions affecting your reasoning process or the problem's solution. For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs. Explore multiple solutions individually if possible, comparing approaches in reflections. Use thoughts as a scratchpad, writing out all calculations and reasoning explicitly. Synthesize the final answer within <answer> tags, providing a clear, concise summary. Conclude with a final reflection on the overall solution, discussing effectiveness, challenges, and solutions. Assign a final reward score. This comprehensive prompt aims to guide the AI through a structured, transparent problem-solving process. The various tags encourage the AI to provide detailed reasoning, evaluate progress, explore alternative solutions, and adapt its approach based on feedback, promoting a more organized and reflective thought process.

یک فرمان برتر که باعث افزایش ١٢٠% قدرت هوش مصنوعی میشه در تست کلادیو سونت توانست پرقدرت از O1 عمل کنه prompt : Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches. Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed. Use <count> tags after each step to show the remaining budget. Stop when reaching 0. Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress. Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process. Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach: 0.8+: Continue current approach 0.5-0.7: Consider minor adjustments Below 0.5: Seriously consider backtracking and trying a different approach If unsure or if reward score is low, backtrack and try a different approach, explaining your decision within <thinking> tags. For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs. Explore multiple solutions individually if possible, comparing approaches in reflections. Use thoughts as a scratchpad, writing out all calculations and reasoning explicitly. Synthesize the final answer within <answer> tags, providing a clear, concise summary. Conclude with a final reflection on the overall solution, discussing effectiveness, challenges, and solutions. Assign a final reward score.

یا حضرت عباس من دیروز ۶٠٠٠ فالور داشتم الان شده ١٣ هزار تا، من توهم زدم یا باگ هست؟ دوستان ١% احتمال داره فیک زده باشن اکانت منو بپرونن پیج بکاپ : @aigptcode2 سایت دانلود رایگان پروفایل : aigptcode.github.io/iphonepr… گیت هاب من : github.com/AiGptCode راه های ارتباطی با من : t.me/IRANBABYDOGECOIN