Nader Ale Ebrahim @aleebrahim
Enhancing Academic #ResearchVisibility & #Impact | Creator of #ResearchTools | Advocate for #OpenAccess & University Rankings | Virtual R&D Teams orcid.org/0000-0001-7091… Malaysia, Iran Joined September 2010-
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AI is threatening science jobs. Which ones are most at risk?
AI is threatening science jobs. Which ones are most at risk? Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.
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Journal giant Elsevier unveiled an AI tool that scans millions of paywalled papers. Is it worth it? First-of-its-kind product raises questions about costs, access, and equity science.org/content/articl…
Peer Review Is Breaking Under Its Own Weight! chronicle.com/article/peer-r…
Before you submit your manuscript, give it a “mock peer review” first. 📝🔍 Upload your paper to Review-it and get feedback that feels like a real human reviewer, covering clarity, structure, argument strength, and potential weaknesses. Try it here: review-it.ai
Can we use AI for academic writing? It depends. timeshighereducation.com/campus/can-we-…
Fit your paper to the journal requirements.
Are AI Tools Killing Review Articles? Two Failure Modes Suggest Otherwise. aarontay.substack.com/p/are-ai-tools…
Voicebox Open source voice cloning powered by Qwen3-TTS. Create natural-sounding speech from text with near-perfect voice replication. voicebox.sh
built a desktop app for local voice cloning with Qwen3-TTS.
built a desktop app for local voice cloning with Qwen3-TTS. Once click install, create voices from audio or record a clip and generate literally anything. Its called Voicebox, available now at voicebox.sh
What is the difference between a systematic review and a scoping review? linkedin.com/feed/update/ur…
Explore Google latest AI products and features ai.google/products/
Reviewer's point of view!
Which science jobs are most at risk from AI? To find out, Nature spoke to more than four dozen researchers across academia and industry who use AI in their work. nature.com/articles/d4158…
Nader Ale Ebrahim retweeted
AI increases productivity for all participants, with substantially larger gains for lower-education individuals.
To make the most of ChatGPT, I highly recommend visiting the official training page at the OpenAI Academy: academy.openai.com/public/content Exploring these learning resources will significantly transform the way you use AI in your daily work.
برای استفاده بهینه از چت جی پی تی حتما به این صفحه آموزشی academy.openai.com/public/content سر بزنید . قطعا بعد از استفاده از آموزش هایش تحول در کاربردهای هوش مصنوعی برای پیشبرد کارهایتان را خواهید دید.
@ObscureRebelle NotebookLM را امتحان کن
Nader Ale Ebrahim retweeted
ببین، نویسنده این مقاله داره میگه که با یه حرکت فوقالعاده ساده، دقت مدلهایی مثل چتجیپیتی و کلاود رو میتونی به شدت بالا ببری. داستان از این قراره که این مدلها متن رو فقط از چپ به راست میخونن. یعنی وقتی داری یه دیتای طولانی بهش میدی و تهش سوال میپرسی، مدل موقع خوندن اون دیتا هنوز نمیدونه تو قراره چه سوالی بپرسی، پس ممکنه از نکات کلیدی سرسری رد بشه. نویسنده مقاله پیشنهاد میده که پرامپت خودت رو دقیقاً دو بار پشت سر هم توی یه پیام بفرستی. یعنی بنویسی: (متن راهنما + سوال) + (متن راهنما + سوال) با این کار، مدل توی دور دوم پردازش، چون یک بار سوال رو دیده، حالا با دید بازتر و تمرکزِ صددرصدی روی هدف تو، کل متن رو دوباره مرور میکنه. نتایج تستها روی مدلهای مختلف مثل جمینای و دیسیک نشون داده که این حرکت ساده، دقت رو توی بعضی تسکها از بیست درصد به بالای نود درصد رسونده. جالبترین بخشش اینجاست که این کار نه هزینهای داره، نه زمان پاسخدهی رو زیاد میکنه و نه نیاز به مهندسی پرامپت پیچیده داره. فقط یه کپیپیست ساده است که باعث میشه هوش مصنوعی بفهمه دقیقاً کجای دیتای تو اهمیت بیشتری داره. در واقع داری به مدل یه شانس دوباره میدی تا قبل از جواب دادن، یک بار دیگه با آگاهی کامل کل صورت مسئله رو بخونه.
LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the
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