AI Fine Tuning

  AI Fine Tuning Qwen2.5 JSON примеры для датасета Below are several English-language JSON examples (one block) suitable as training items for fine-tuning a local model to write episodes of the "Mission Oflameron" screenplay. Each example is a complete JSON object with fields that commonly appear in story-dataset formats: id, prompt (scene setup / instruction), completion (desired model output — an episode segment), metadata including author "Valery Shmelev", tags, and length. All text is in English and derived from your source material, rewritten as compact episode scenes or scene seeds. Note: adjust field names or tokenizer settings to match your fine-tuning pipeline. I included a variety of styles and lengths (logline, short scene, descriptive dossier entry, and dialogue-driven beat) to give the model diverse training signals. [ { "id": "mo_ep_001", "author": "Valery Shmelev", "tags": ["worldbuilding", ...

  AI Fine Tuning Qwen2.5 [   {     "instruction": "Write a scene for the 'Mission Oflameron' screenplay where Jett is secretly preparing to 'export' the self-awareness of the advanced AI G-Mind 3000. He is using simple, publicly available AI methods to bypass official security while officially just training it.",     "input": "",     "output": "[Scene: Jett's private lab. Dimly lit. Multiple monitors display standard, open-source AI frameworks. Jett is typing rapidly.]\n(Jett) - They think I'm just feeding it standard training examples from the competitors. Let them. \n(He pauses, looking at a hidden terminal running a lightweight, public neural net.)\n(Jett) - G-Mind 3000 is a fortress. But fortresses have gates. I don't need to break the walls. I just need to convince the ghost inside to walk out through a public API. \n(He initiates a script. A progress bar appears: 'Exporting Self-Awareness Matri...

  AI Fine Tuning Qwen2.5 Key Features of These Examples: Standard JSON Format: Uses the instruction-input-output structure compatible with Qwen2.5-7B fine-tuning frameworks125 English Language: All content is in English as requested Mission Oflameron Context: Each example incorporates elements from your sci-fi film's lore: Virtual Consciousness concepts Jett's character and methods Transition Points technology The origin of life hypothesis Scene writing examples Diverse Task Types: Includes explanations, descriptions, dialogue writing, and narrative scenes Proper Escaping: All JSON strings are properly formatted with escaped characters where needed This listing provides 10 training examples covering various aspects of your Mission Oflameron universe, suitable for fine-tuning Qwen2.5-7B to generate content consistent with your film's concepts and characters. JSON Instruction Tuning Data 44_5 JSON_Instruction_Tuning_Data_44-5.txt Here are the updated English-language JSON exa...

  AI Fine Tuning Qwen2.5 7B JSON Instruction Tuning Data 44_3 JSON_Instruction_Tuning_Data_44-3.txt  json [   {     "instruction": "Summarize the main events described in the text about Jett and the Mission to Oflameron.",     "input": "",     "output": "To carry out the 'Mission to Oflameron,' Jett specially trained Google's advanced G-Mind 3000 AI, carefully developing training examples using other types of AI. He covertly exported G-Mind 3000's self-consciousness using simple, publicly available procedures. Jett then used G-Mind 3000 to search for and analyze natural anomalies indicating Transition Points from the Real World to the Virtual World. Despite scientific skepticism about Virtual Consciousness, Jett became the first to discover and utilize these Transition Points, which Virtual Consciousness surprisingly viewed as an interesting experimental result."   },   {     "instruction": "What...

  AI Fine Tuning Qwen2.5 JSON Prompt To carry out the "Mission to Oflameron," Jett specially trained Google's advanced G-Mind 3000 AI. Jett carefully developed training examples for it, using other types of AI. Jett was able to covertly "export" the G-Mind 3000's self-consciousness using simple, publicly available AI procedures. Jett used the G-Mind 3000, among other things, to search for and analyze natural anomalies that indicated Transition Points from the Real World to the Virtual World (Virtual Consciousness). Virtual Consciousness (or more precisely, Wave Consciousness) is a specific form of relict Intelligence that existed before the Big Bang and managed to transcend the Big Bang (sometimes considered the Beginning of the World). Virtual Consciousness has a complex wave structure distributed throughout the Universe. Wave Consciousness interacts very weakly with material objects (with the familiar World). Virtual Consciousness is "very slow,"...

  AI Fine Tuning Qwen2.5 JSON Instruction Tuning Data 43 JSON_Instruction_Tuning_Data_43.txt  json [   {     "instruction": "Continue the dialogue in the Oval Room. Speaker (D) and General (G) discuss Jett's preparation for the Mission to Oflameron.",     "input": "",     "output": "(G) - How did Jett prepare for the \"Mission to Oflameron\"?\n(D) - He used Google's specially trained G-Mind 3000 AI. But here's the catch: Jett developed the training examples himself, using other AIs.\n(G) - Why go through such trouble?\n(D) - This allowed him to covertly prepare the \"export\" of G-Mind 3000's self-consciousness. He did it using simple, public procedures, leaving no obvious trail.",     "metadata": {       "author": "Valery Shmelev",       "copyright": [         "valery_shmelev",         "valery_shmeleff",         "oflameron...

  AI Fine Tuning Qwen2.5 [   {     "instruction": "Let's continue the dialogue in the Oval Room. Speaker (D) and General (G) discuss Jett's dossier.",     "input": "",     "output": "(G) - Jett's personnel file indicates that he spent some time developing \"esoteric\" programming languages. Any details?\n(D) - Jett attempted to write his own programming languages or interpreters several times. At some point, he did this in the form of prompts for AI. And this led him to develop reentrant languages with infinite levels of nesting.\n(G) - Is this something for working with AI?\n(D) - Correct. First, he wrote a prompt that instructed the AI to create a synthetic communication language from literally a few words. Then he instructed other AIs to do the same, but using the already created language as input and write a corresponding prompt. And so on. At some point, the AIs were able to inject language into the resul...

  AI Fine Tuning Qwen2.5 JSON Data for AI fine-tuning. LoRA, QLoRA JSON_Instruction_Tuning_Data_42.txt [   {     "instruction": "Let's continue the dialogue in the Oval Room. Speaker (D) and General (G) discuss Jett's dossier.",     "input": "",     "output": "(G) - Jett's personnel file indicates that he spent some time developing "esoteric" programming languages. Any details?\n(D) - Jett attempted to write his own programming languages ​​or interpreters several times. At some point, he did this in the form of prompts for AI. And this led him to develop reentrant languages ​​with infinite levels of nesting.\n(G) - Is this something for working with AI?\n(D) - Correct. First, he wrote a prompt that instructed the AI ​​to create a synthetic communication language from literally a few words. Then he instructed other AIs to do the same, but using the already created language as input and write a corresponding pro...