FiveTech Software tech support forums

https://github.com/FiveTechSoft/tinyAstrology In this example we have created the dataset using chatgpt: 1. You ask chatgpt "tell me small questions and answers related to this topic and write the answer in json format" 2. You tell chatgpt to do it again without including previous...

... dataset. We encourage you to start building your own GGUFs. Full source code is available at the repo. TinyLLama is great for starting on AI training :-)

Used code: https://github.com/FiveTechSoft/tinyMedical Trained model: https://huggingface.co/fivetech/tinyMedical-GGUF/tree/main used engine to run the resulting GGUF file: https://github.com/ggerganov/llama.cpp You can also use LM Studio to use the GGUF files: https:...

... CPU utilization > 10% and 14.4GB RAM After 16min cached_lm_GPT2Tokenizer_128_fivetech_forums_20231222.sql prepared - only then does the training begin - we always have this effort and it currently only runs on the CPU. Training after 8 hours and 3,400 runs, no output in fine-tuned model ...

Hello Antonio, From the looks of it, the training doesn't just happen in one round: First round generated a 715MB file "cached_lm_GPT2Tokenizer_128_fivetech_forums_20231222.sql" in 16min. The second round is actually the training and ...

Do you have a pc with a powerfull nvidia card ?

If so, are you willing to help doing some tests training AI ? Please let me know it

many thanks

This code seems to work, though we still don't know how long it will take the training: I appreciate, if you have a pc with nvidia GPUs, to test it and report how long it takes. Just replace "fivetech_forums_20231222.sql" with a large text file you may ...

... of the topics, with the name of the topic and the list of messages for such topic. Here you have the Google Colab file to run the fine tunning training from Microsoft Phi2: https://github.com/FiveTechSoft/FWH_tools/blob/master/fivetech_forums.ipynb ======== original post Some days ...

...       IF Mod(epoch, 100) == 0            ? "Epoch", epoch, "Loss:", loss        ENDIF    NEXT    ? "Training complete!"RETURN  Epoch 100 Loss: 1.035 Epoch 200 Loss: 1.003 Epoch 300 Loss: 0.947 Epoch 400 Loss: 0.258 Epoch 500 Loss: 0.173 Epoch ...

... By patching individual .prg files back into one, Harbourino enhances the organization and manageability of the code​​​​. Practical Example and Training: Another post on the FiveTech Software tech support forums mentions an offer to demonstrate how to create mod harbour programs using Harbourino ...

Providing it some sentences. Still needs training... attention.prg #define MIN_DOUBLE Val( "-1.7976931348623158e+308" )PROCEDURE Main()    LOCAL aSentences, aVocabulary := {}, aTokenIds, aEmbeddings, ...

...  Called from: svp.prg => MAIN( 40 ) Now I do configure my start window by "try 'n error" with @ y, n ... And take it as a training for design :-) -Detlef

Let the magic begin... :-) Lets start recognizing "eyes" (also "faces") and later on we will recognize anything (training our own "Haar Cascades"). We select and use a CascadeClassifier, for eyes "haarcascade_eye.xml" There are a few "false" ...

... dbf. I already use an archive for students. I already use an archive for all exercises. The archive I have to do is treated as if they were the training cards of a gym. there are 12 exercises a day for six days and for each exercise memorize at least 6 fields,because each exercise can be the ...

... for 2011, ... J means he was a guest, N not. This reduces the number of fields inside the database. Best regards, Otto Otto, I have to make a training sheet for school gym and I have to enter the workouts per week for each subscriber (12 per day), the data of the subscribers require 5/6 fields ...