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Simple code to use an AI model to build a dataset: generate.py import jsonimport torchfrom transformers import AutoModelForCausalLM, AutoTokenizer# Load the pre-trained modelmodel_name = "mlabonne/phixtral-4x2_8"tokenizer = AutoTokenizer.from_pretrained(model_name)model ...

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 ...

... where you have the code to fine tune TinyLlama with your own data, in this case we have used a medical 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 :-)

Dear Leandro, The first step is to create a dataset with questions and answers to train (fine tune) a base model such as Microsoft phi-2, TinyLlama, etc. Once trained, a GGUF file is generated, which can be used with FWH using the llama64.dll. ...

Estimado Leandro, Lo primero es crear un conjunto de datos (dataset) con preguntas y respuestas, con las que entrenar (fine tune) un modelo base como Microsoft phi-2, TinyLlama, etc Una vez entrenado, se genera un fichero GGUF que puede ya ser usado desde ...

... layer to the base model Phi-2, based on: https://medium.com/@nimritakoul01/finetuning-microsoft-phi-2-small-language-model-on-veggo-dataset-using-qlora-8bcf70ab625e !pip install accelerate==0.25.0!pip install bitsandbytes==0.41.1!pip install datasets==2.14.6!pip install peft==0.6.2!pip ...

https://medium.com/@nimritakoul01/finetuning-microsoft-phi-2-small-language-model-on-veggo-dataset-using-qlora-8bcf70ab625e Tested on Google Colab T4 go.bat pip install accelerate==0.25.0pip install bitsandbytes==0.41.1pip install datasets==2.14.6pip install peft==0.6.2pip ...

From posts.dbf and posts.fpt now we generate the dataset.json to be trained. We are using just 20 different topics, so the dataset is not too large and we can do quicker tests with it: dataset.prg #include "FiveWin.ch"request dbfcdxfunction ...

First try building the dataset. hb_jsonEncode() GPFs... #include "FiveWin.ch"request dbfcdxfunction Main()    local aPosts := {}    USE posts VIA "dbfcdx"    INDEX ON ...

... = phpbb_forums.forum_id;    ENDTEXT    oCn:SaveToDbf( cSQL, "posts.dbf" )return nil     5. Now we create a small dataset in json to make tests: #include "FiveWin.ch"request dbfcdxfunction Main()    local aPosts := {}, n    USE posts ...

... and when I make changes via the modal dialog. This means that the first check is now already done in the JavaScript part. When I then save the dataset, it is checked again in the Harbour-Script. https://mybergland.com/fwforum/over.gif

I have a single Sql table oRs and I want to have 2 lookup options or Sql indexes on the same recordset .. This dataset is for a local town park where you have information on Owners ( name ) and pets by name . I want to be able to have a single recordset where I can use a radio ...

... Whisper demo Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language ...

... párrafos con la funcion hb_atokens obtengo un arreglo unidimensional, luego lo paso a un arrego de dos dimensiones, luego en fastreport defino un dataset con el dichoso arreglo, y listo. se define ciertas propiedades en el campo que muestra el elemento tan alto como sea necesario. tantas paginas ...

... 'Open Table InSpector' and is a database table inspection tool for Dbase, Clipper, Harbour, xHarbour, FoxPro, ..., files. Otis has a integrated DATASET manager. This need some explanations. A DATASET is a set of ONE or MORE tables and index files. You can save this SET of files with a name and ...