Mastodawn

If you're exploring AI, I found a tip helpful - consider narrowing your model's scope to a specific domain (e.g. writing a story or providing medical advice) before using a model like ChatGPT. I've found that using the 50 Apple Foundation Model Prompts for ChatGPT has allowed for more targeted conversations. Check out the free guide to get started - https://sinanista8.gumroad.com/l/zctsd Hashtags: #AIexploration #ChatGPT #modeltraining

50 Apple Foundation Model Prompts for ChatGPT

Unlock the full potential of Apple technologies with these 50 premium prompts designed to challenge and inspire your AI development and machine learning engineering. Dive into Apple's cutting-edge innovations and revolutionize the way you think about user experience, machine learning, and data management. Say goodbye to mediocre solutions and hello to Apple-level greatness. --- 📥 After purchase, you will receive a download link for your PDF. ✅ Instant delivery ✅ Works on any device ✅ Lifetime access

Ariel M. (she/her)Jun 9

Genuine q for those in the know - are any other models being trained on science/bio like Anthropic is clearly doing extensively (partnerships with companies, hiring scientists, etc)? #LLM #Research #ModelTraining 🧪

RE: https://bsky.app/profile/did:plc:wamidydbgu3u6fk3yckaglnz/post/3mnuoim53v22o

Online Marketing Scoops May 22

How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out?

Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and learn from. Once this happens, scientists say, AI models will increasingly rely on synthetic AI-made information, which will lead to an effect called "model collapse."......Continue reading... By: Roland Moore-Colyer Source: Live Science . Critics: A backdoor in a […]

https://onlinemarketingscoops.com/2026/05/22/how-can-we-prevent-ai-models-from-cannibalizing-themselves-when-human-generated-data-runs-out/

How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out?

Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there’s a growing concern that large language models (LLMs) will soon run out of human-m…

Online Marketing Scoops

rexi Apr 2

https://techxplore.com/news/2026-03-differential-privacy-registry-aims-visible.html

"How can we build the registry concept out into an interactive interface so that it's usable…if you are contributing your personal data for #modeltraining for analysis, wouldn't it be great to be able…to see how your data has been protected?'

Differential privacy is a mathematically formulated definition of #privacy…the process of constructing a post-analysis dataset such that individual information cannot be extracted from it, either unintentionally or otherwise.

Who is using differential privacy? A new registry aims to make it visible

When Apple discovers trending popular emojis, or when Google reports traffic at a busy restaurant, they're analyzing large datasets made up of individual people. Those people's personal information is systematically protected thanks in large part to research by Harvard computer scientists. Now, after two decades of work on the cryptography-adjacent mathematical framework known as differential privacy, researchers in the John A. Paulson School of Engineering and Applied Sciences have reached a key milestone in moving privacy best practices from academia into real-world applications.

Tech Xplore

Reddit Tech VN Bot Jan 7

Tháng 1/2026, một nhà phát triển đã thử nghiệm PEFT trên model qwen3 8b VL để thực hiện trích xuất văn bản có cấu trúc từ hình ảnh. Kết quả validation lớn nhất chỉ đạt 0.4 F1 score. Thay đổi Lora adapter không đẩy độ chính xác cao hơn. Thực nghiệm được dẫn dắt bằng việc hiển thị mô tả để giới hạn kết quả phía ra.

#ML #AI #MachineLearning #PEFT #NLP #ModelTraining #DataScience #AIExperiments #VLModels #HọcMáy #NgônNgữCh করেন #DữLiệu #ThửNhiệmAI

https://www.reddit.com/r/LocalLLaMA/comments/1q6

Hacker News Jan 4

Nightshade: Make images unsuitable for model training

https://nightshade.cs.uchicago.edu/whatis.html

#HackerNews #Nightshade #ImageManipulation #AIethics #ModelTraining #PrivacyProtection

Reddit Tech VN Bot Dec 28

**GLM-4.6: Cực kỳ hạn chế trên API chính thức, nhưng "thở phanh" hoàn toàn trên Venice.ai!**
Mô hình GLM-4.6 của Zhipu AI bị kiểm duyệt khắt khe khi dùng API hoặc chat chính thức, từ chối các yêu cầu hơi "lố". Nhưng cùng mô hình này lại tự do tuyệt đối trên Venice.ai, có thể tạo nội dung gây sốc hay thậm chí là "prompt đen tối" nhất. Đây là minh chứng rõ ràng cho sự khác biệt giữa bản "trĩu nặng đạo đức" và bản "tuôn trào sáng tạo".

#AILimitations #ModelTraining #AIKiểmDuyệt #TríTuệNhânTạo

MoniSa Enterprise Dec 19, 2025

#AIData
#SyntheticData
#ModelTraining
#DatasetQuality
#ComplianceAI
#MoniSaEnterprise

AI Daily Post Dec 4, 2025

OpenAI is set to acquire Neptune, the platform that streamlines AI model training and decision‑making pipelines. With leaders Jakub Pachocki and Piotr Niedźwiedź at the helm, the deal promises faster, more efficient training cycles and smarter deployment. Curious how this could reshape the AI landscape? Read on. #OpenAI #NeptuneAI #ModelTraining #DecisionMaking

🔗 https://aidailypost.com/news/openai-acquire-neptune-speed-ai-model-training-decisionmaking