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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

"Just fine-tuned LLaMA 3.2 using Apple's MLX framework and it was a breeze! The speed and simplicity were unmatched. Here's the LoRA command I used to kick off training: ``` python lora.py \ --train \ --model 'mistralai/Mistral-7B-Instruct-v0.2' \ -

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

"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

Random Thought : I was wondering, why ChatGPT weren't build on the Increment Learning modle.. Because I might destroy it's algo.... Let me expain.. In the world of machine learning, training models can be approached in two main ways, Batch Lea

Are there any Startups working on building datasets for Large Language Model Training !

What are your views on startup cult.fit Do you think business model like that works?

What's Your Opinion On Data based startup❓ Intro: See In the current era of AI, To make AI model lots of data is required and so how about building a startup based on data provider, data servers, or anything related data. What could possibly be it's

any developer here? what's the best way to fine tune the mvp text based chat bot model I got two data 1. main data 700 rows 2. data for fine tune more than 3000+ rows feeling problems downloading the local model is there more ways in starting

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