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Learn to fine-tune a pre-trained YOLO v5 model using a custom clothing dataset with Venelin Valkov. Understand YOLO, install libraries, evaluate results in under 1 hour.
. Learn to create, save, load & explore natural language processing models using HuggingFace library.
This course covers a ChatGPT API, compare it with a web app, get an API key, set up Google Colab, make your first request, recreate web prompts, maximum tokens, count tokens with tiktoken, generate multiple completions, and adjust the temperature.
Learn to build your first neural network using PyTorch with Venelin Valkov. This under 1-hour tutorial covers data preparation, network structure, and activation functions.
Learn to run the GPT4All chatbot model in a Google Colab notebook with Venelin Valkov's tutorial. Understand data curation, training code, and model comparison.
Learn to fine-tune Alpaca LoRa for sentiment analysis on a custom Bitcoin tweets dataset in under an hour with Venelin Valkov. Gain skills in data preprocessing, model training, and performance analysis.
Learn to use chat models with LangChain, create embeddings, and generate completions with large language models in under an hour with Venelin Valkov.
Learn to build coherent chatbots using different memory types with ChatGPT and LangChain in less than an hour with Venelin Valkov.
Explore the breakthrough in Large Language Models and Generative Agents with Venelin Valkov. Learn how these agents simulate human-like behavior in an interactive sandbox in under an hour.
Dive into LangChain's functionalities with Venelin Valkov's tutorial. Learn to use data loaders, indexes, and vector stores, and ask questions on a PDF file using ChatGPT in under an hour.
Learn to do inference with Stanford Alpaca, set up necessary libraries, generate text using a prompt template, and compare its performance with ChatGPT in under an hour with Venelin Valkov.
Learn to manage Machine Learning experiments with Python and DVC in less than an hour, offered by Venelin Valkov. The program covers reproducibility and tracking of results.
Learn to deploy a pre-trained BERT model as a REST API using FastAPI and Uvicorn in under an hour with Venelin Valkov. Includes hands-on project work.
This course covers using BERT to create, train, and evaluate a sentiment classifier using Transfer Learning and Hugging Face.
Learn text preprocessing and sentiment analysis using BERT, huggingface, and PyTorch in this short tutorial by Venelin Valkov. Master tokenization, padding, and creating data loaders.
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