HuggingChat is the best open source Chat GPT competitor | Hugging chat - Beginners tutorial

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Testing AI

Testing AI

Күн бұрын

Пікірлер: 9
@testingai
@testingai Жыл бұрын
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@Data_scientist_t3rmi
@Data_scientist_t3rmi Жыл бұрын
do you have a video that shows the exact steps in order t build this on Google Colab Notebook or on Azure ML Notebook ? thanks
@testingai
@testingai Жыл бұрын
@@Data_scientist_t3rmi Not yet
@CarlosRodriguez-cj8oo
@CarlosRodriguez-cj8oo Жыл бұрын
Great information, thanks kindly!!
@SD-rg5mj
@SD-rg5mj Жыл бұрын
hello is there an api? I mean so that the generated text has directly in a Google sheet anyway thank you very much for your videos
@testingai
@testingai Жыл бұрын
not an official one, but if you google it someone make an unofficial one
@101RealTalker
@101RealTalker Жыл бұрын
I STILL, despite all these "daily advancements", have yet to find one that can handle this particular case usage, all in one go, can anyone solve for this?: Preprocess the markdown files: Tokenize the text. Remove stop words. Apply TF-IDF (Term Frequency-Inverse Document Frequency) to identify significant words and phrases. Apply deep learning techniques: Utilize deep learning algorithms like RNNs (Recurrent Neural Networks) and word embeddings. Leverage attention mechanisms and transformer-based models. Use pre-trained language models: Consider using pre-trained models such as BERT (Bidirectional Encoder Representations from Transformers) or GPT (Generative Pre-trained Transformer). Fine-tune the models: Train the pre-trained models on your specific dataset to improve their performance. Evaluate the generated summaries: Use metrics like ROUGE (Recall-Oriented Understudy for Gisting Evaluation) to assess the quality of the summaries. Iterate and refine: Continuously experiment and adjust the model architecture and hyperparameters based on feedback. Ensure computational resources: Allocate sufficient computational resources such as GPUs (Graphics Processing Units) for efficient training and inference All to achieve this desired output: to take 2 million words documented for one singular project, and extract out of it all the cross references in a 10K word transcript equivalent, am I really the only person with such a, demand with no supply? lol...I have been searching and searching, but seems like I am indeed both in no man's land and the pioneer of an undiscovered continent.
@testingai
@testingai Жыл бұрын
i think that requires a bit more building that searching. Something like an AI workflow
@101RealTalker
@101RealTalker Жыл бұрын
@@testingai not sure what you mean by that.
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