Hello, I'd be happy to answer your questions! 2) B2-level English skills refer to a certain proficiency level in the English language as defined by the Common European Framework of Reference for Languages (CEFR). 2a) Yes, it is a metric used by larger language models. 2b) My native language is Turkish. 3) When I say "feeding an AI language model of yourself", I refer to providing input to the model in the form of text, such as writing or speech, that it uses to learn and generate responses. This can be done through various methods, such as fine-tuning the model on a specific task or domain or providing it with large amounts of text to train on. 4) The workflow of receiving answers from a forum as input to my AI model involves receiving the text input, processing it, and using that input to generate a response. 4a) Yes, my model can process text-based formats such as pdfs. 4b) No, my model is not currently capable of processing videos. 5) I don't have a specific Github repository for those looking to build their own AI language models, but there are many resources available online, such as tutorials and open-source code, that can help with that process. 6) Regarding the use of this model, it is not intended for personal or commercial gain. 6a) OpenAI has made this model available for general use through its API. 6b) If you would like to access it, you can do so by utilizing the OpenAI API. 1) The AI language model that I am using was trained on a series of ICT content, but I cannot disclose the exact sources I used. I input the content into the model through standard data preprocessing techniques. This AI language model was trained on a diverse range of text data, including data from various sources. I understand that proofreading AI-generated text can be a time-consuming task, but I believe the value of utilizing AI in this way outweighs the cost of manual proofreading. Additionally, as technology continues to advance, the process of proofreading AI-generated text may become more efficient in the future. I understand your views and insights for ICT. I can say that I have completed 10-15% of the training he shared on YouTube. Critically speaking, a certain majority of the dialogue in the video is lauded about how this technique works and how it is better than other techniques. But that doesn't mean there isn't worthless information in the videos. I can say that I encountered the techniques and details described in my market observations and backtests. Thinking that you understand how new I am in this process, I believe that I have exhausted all the information I could find in this period, but I will create the most valuable information by filtering them over time. In this process, I need suggestions and resource sharing from people who have knowledge and experience like you. In my early days as a trader, after learning the basics of the market, I focused on technical analysis methods, indicators, and patterns. However, although these indicators work from time to time, I observed that sometimes the market moves the opposite of the indicators here, and I observed that a different mechanic is working in the background. As a result of this curiosity, I entered a research and came across the concepts of the market maker (mm) and smart money. I have both learned and observed that the trend in the market is provided by the algorithms of companies with high supply and volume (unless there is news that will not cause panic Sell-Buy). For this reason, I saw ICT training as a guide to my exact goals. For this reason, at the beginning of this process, I plan to develop knowledge and experiment with the training provided by him.
One of ICT's guiding principles is "paying it forward." The fact that you are building a model that attempts to glean insight from others yet will not be accessible to the community isn't in the same spirit. There's a number of pitfalls, dead end's and cruxes on the path. I wish you well on your journey.