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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

India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?

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A fine is a tax for doing wrong. A tax is a fine for doing well.

10 Best LLM Tools to Simplify Your Workflow 1️⃣ LangChain LangChain's flexibility suits complex AI and multi-stage processing. 2️⃣ Cohere Cohere offers integration, scalability, and customization. 3️⃣ Falcon Falcon offers cost-effective, high-per

💡 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

Exposed: The Truth Behind Volkai – Is It Truly India Made AI? So, I recently dug into the buzz around Volkai, the AI company gaining fame as India’s very own innovation in the AI space. Everyone's been hyping it up for being completely built from

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

Hi ! I'm Building a project for entrepreneurs and aspiring entrepreneurs to generate great pitch decks, startup ideas and presentations etc. So firstly working on the startup idea generator - I'm fine tuning the model on real ideas so it can genera