Rag Stories

just some poems i come up with

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These are subject-based poems that I have written. Each one is about something different. Message me if you have any requests!

Historia superbohaterów z innego świata. Główną bohaterką jest biologicznie i umysłowo szesnastoletnia Irna, dziewczyna która na piętnaście lat była zamknięta w bańce całkowicie blokującej jej rozwój. Teraz po wydostaniu z bańki dziewczyna musi pomóc starym i nowym przyjaciołom w pokonaniu tajemniczego kryminalnego władcę Miasta - Czarnego Smoka. W tym samym czasie tajna rządowa organizacja zatrudnia młodego studenta Adama Miśkiewicza, który ma im pomóc w pojmaniu Piotra Michalskiego - arcysztukmistrza, który za nic sobie robi prawa i regulacje, ceniąc sobie wolność ponad "bezsensowną" pracę na rzecz społeczeństwa.

The wooden doll stands out in the cold rain, on a stormy night. She stares back longingly at a house she once used to live in, but alas no longer does. The doll began to walk and walk, searching for something, perhaps anything worth living for. And what she does find sets her life on a path she didn't know it could take.

It's a murderous dialogue.

"Why do you only talk to rag dolls, Emma?" A story of a girl who sees things differently, and of the friends who accompanied her all along.

When Dakota has to stop drag racing because she can't handle the stress, she decides to find herself again. There has to be more to life then this? What happened to the music girl before? Then, she meets a guy by accident. Louis Tomlinson is under a lot of stress but this girl seems to be... different? Can he help her? Xx Audy *Nothing against Eleanor

(NOT MY ARTWORK) Thank you @Gay_Anxiety for recommending me to make this book! You put on a strange headset that you bought out of insomnia, waking up in a strange circus that was very colorful and lively. A certain rag doll appears to have caught your eye as she appears to give you a short rundown on what's going on here. Will you escape? Will you abstract? Will you finally get the ragdoll of your dreams? (Hopefully!)

Ashleigh and Hannah are twins . They are on a tour with the one and only FVK . what happens between Shane and Ashleigh . or even Hannah and Luke ???? SUCK AT DESCRIPTIONS SORRY

This poem is about a girl.

Read it to find out.

Amygdala was a regular girl, except one thing. She had major anger issues. Her parents got her a rag doll, to take her anger out on. But that was a horrid mistake, and for one reason.

" You supposed to be proud of who you are. 'cause it's you and no one will be like you because we were born in different." How can you encourage someone insecure to their selves? If you are in their position, what would you do? Are you going to distance yourself once someone will recite their insecurities on you? Disclaimer: This story is fiction and I based the characters on the real one, but those scenes in this story are not part of the real-time event or in their autobiography. Lastly, may I warn you about the language of the characters, smoking, drinking, and some scenes that might be not allowed to the young readers; if you're young and read this story, read at your own risk.

this is a lyric thing-

RAG vs Fine-Tuning: When to Choose, What to Choose, and Why Big language models (like ChatGPT, Gemini) are very smart. But they don't know everything, and they don't always stay up to date. That's why people use two main tricks to make them better: RAG (Retrieval-Augmented Generation) → like giving the model a library card. It can read fresh documents before answering. Fine-Tuning (FT) → like training the model in school. It learns a subject deeply, so it can answer in a certain way every time. Why does this matter? Businesses lose money if answers are wrong. (Example: a bank chatbot gave outdated rules to 30% of customers in a test). In healthcare, a wrong answer could even harm a patient. And in customer service, style matters. A polite, consistent tone can increase satisfaction by 20-30%. So, in this blog, we will discuss which approach is best suited for your project-RAG, Fine-Tuning, or a Hybrid-so that you can quickly figure out when and how to use them. Now, if you want a fast answer without reading the whole blog, let's see the quick 30-second rule of thumb: Choose RAG → if your facts change often, like news, policies, or prices. Example: a travel app needs flight updates every hour. Choose Fine-Tuning → if your tasks are stable and need the same style, like legal advice or customer support. Example: a call center bot that always sounds helpful and calm. Choose Hybrid → if you need both. Example: a medical bot that speaks politely (FT) but also pulls the latest research papers (RAG). Think of it like this: RAG = Google Search + AI brain. Fine-Tuning = Teacher training the AI in one subject. Hybrid = Both together: well-trained + still able to look things up. Conclusion The smartest AI teams today don't just choose between RAG or Fine-Tuning - they know when to use each, and how to combine both for lasting impact. Source: https://www.agicent.com/blog/rag-vs-fine-tuning/