
Learn to create a chatbot and conversational agent using Falcon 40B, the top open-source LLM, with Hugging Face Transformers and LangChain. Explore code generation, refactoring, and agent capabilities.

Explore SageMaker and Hugging Face integration for efficient NLP model training, deployment, and optimization. Learn preprocessing, hyperparameter tuning, and model compression techniques.

Explore MPT-7B LLM implementation in Hugging Face and LangChain, covering setup, initialization, tokenization, and text generation. Learn to leverage open-source models for AI applications.

Hands-on Docker tutorial for beginners, covering containers, images, and Dockerfiles. Build a simple ML project using Huggingface Transformers and deploy to DockerHub.

Learn to build a language translation app using Python, Hugging Face Transformers, and Gradio. Covers installation, text translation with deep learning, and creating a lightweight ML app interface.

Learn to automate stock and crypto research using Python, web scraping, and deep learning. Build a pipeline to gather, summarize, and analyze financial news for various assets.

Learn to generate blog posts using GPT2 and Hugging Face Transformers. Master text encoding, AI-powered content creation, and output decoding for efficient writing and content production.

Learn to create a deep learning Q&A web app using Python, Transformers, and Anvil. Covers model loading, app development, integration, and deployment in a hands-on tutorial.

Learn to implement AI-powered Q&A using Hugging Face Transformers. Explore BERT, transfer learning, and practical coding with pre-trained models for your own data and solutions.

Learn the basics of Hugging Face Transformers library, including installation, pre-defined pipelines, and implementing models in PyTorch. Explore tokenization, attention masks, and model outputs in this practical coding guide.

Learn to perform sentiment analysis using BERT and Python. Scrape Yelp reviews, calculate sentiment scores, and leverage pre-trained models for efficient NLP tasks. Ideal for those interested in advanced text analysis techniques.

Learn to automate blog post summarization using AI-powered tools. Scrape web content, process text, and generate concise summaries with Hugging Face Transformers and Beautiful Soup in Python.

Build a real-time speech-to-text app using Hugging Face Transformers and Gradio. Learn to implement live audio transcription with Facebook's Wav2Vec2 model in this hands-on tutorial.

Learn topic modeling with BERTopic, extract insights from Kaggle notebooks, and create interactive visualizations. Master applied NLP techniques using transformers and c-TF-IDF for interpretable, dense topic clusters.

Explore Llama 2, the top open-source LLM, in LangChain. Learn to implement a 70B parameter chat model using Hugging Face and create a conversational agent with practical examples.

Learn to implement table question-answering using TAPAS in Python, covering retrieval pipelines, dataset preprocessing, and advanced aggregation queries with Hugging Face transformers and Pinecone vector database.

Explore document summarization using Langchain, Hugging Face Transformers, and clustering techniques for efficient text analysis and insights.

Master model optimization techniques by converting T5 Large to ONNX format and implementing 8INT quantization using Hugging Face Transformers Optimum, with MLflow integration for text summarization tasks.