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X updates its developer agreement to ban third parties from using the X API or X Content for training or fine-tuning foundation or frontier AI models.

Fine-Tuning: The Secret Sauce of AI Magic! Ever wonder how AI gets so smart? It’s all about fine-tuning! Imagine a pre-trained model as a genius with general knowledge. 🧠✨ Fine-tuning takes that genius and hones its skills for a specific task, li

Working on a cool AI project, that involves vector db and LLM fine-tuning

OpenAI researchers have discovered hidden features within AI models that correspond to misaligned "personas," revealing that fine-tuning models on incorrect information in one area can trigger broader unethical behaviors through what they call "emerg

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

"Save this" Some of these sites will help you to try and test the premium models of the popular ai models like Chat GPT and Claude LM Arena Groq Cloud Open Router

The “Entry-Level” AI Engineer Job Description of 2025 🚨 HR today: > “We’re looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning

Hey everyone, I'm an engineering student geeking out over Generative AI. Loving LangChain, Hugging Face models, Crew.ai's chatbots, fine-tuning, and RAG. Plus, machine learning and data science are pretty cool too! Anyone else into this stuff? Looki

BREAKTHROUGH INSIGHT: Most people train AI models. Smart people fine-tune AI models. But the real secret? Learning to dance with AI's existing knowledge. Stop forcing. Start flowing.

💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e