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Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: • Build with LLMs • RAG & agents • Dataset engineering • Evaluation metrics that matter This isn’t just theory. It’s how to build. #AI #LLM #RAG #Tec

Hey everyone, First Indian product on Vision RAG, Currently RAG systems often struggle to maintain context, leading to hallucinations and inaccurate response. At https://blackwhole.dev we solving this so you can upload any document and get highly re

Guys I'm a Gen ai enthusiast and currently studying in a engineering college 2nd year ,is there someone interested in hackathons and also projects related to Gen ai like finetuning models and creating chatbots and so on we can collaborate and learn

Context Engineering: The End of Vibe Coding! 100x Better Than Vibe Coding (Full Tutorial)

Most of us rely on prompting to get the work done through ChatGPT. Even I used to follow this technique until one of my friends taught me how to master Context Engineering. Here's how it works: Prompting vs Context Engineering Prompting is about a

Sharing a selection of AI courses I've mastered some of them, and others are in the backlog. HuggingFace Agent Course - https://huggingface.co/learn/agents-course/en/unit0/introduction MCP with Anthropic - https://www.deeplearning.ai/short-course

🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up

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

Hello Friends, I’ve been diving deep into Retrieval-Augmented Generation (RAG) and its evolved form — Agentic RAG — lately, and I’m genuinely curious about how others are thinking about it. I’d love to hear your ideas, interesting use cases, or eve

“Prompt engineering” is fake an always has been, wordcel cope from the start. Engineering implies design, implementation, testing, evaluation and iteration; none of which were clearly done if people are just now realizing it doesn’t work. Your views