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This course covers building prompt systems with OpenAI GPT-3, few-shot training, adding external info and final thoughts on generative AI and prompts.
This course covers 4 components of LangChain and uses Hugging Face and OpenAI LLMs to build and analyze models. Students get to experience GPT-3 and see the final results.
Learn to build a generative AI for question-answering using Python in less than an hour with James Briggs. Understand AI, data preprocessing, text embedding, and get results.
Learn to use Falcon 40B, the top-performing open-source Large Language Model, with Hugging Face Transformers and LangChain to create chatbots. Offered by James Briggs.
Learn to interact with the web using Python, covering essentials like APIs, JSON, and Python requests. Offered by James Briggs, it takes less than an hour.
for chatbots. Learn about implementing memory for better conversational AI, explore LangChain's Memory & see examples.
Learn to build a RAG pipeline using Pinecone vector database and Llama 2 13B chat model with James Briggs in under an hour.
Learn to build a multi-modal hybrid search engine for eCommerce using OpenAI's CLIP, BM25, and Python in under an hour with James Briggs.
Learn to fine-tune bi-encoder models for semantic search using GenQ, a method that generates synthetic training data. Offered by James Briggs, it takes less than an hour.
Learn to create custom components using Streamlit for ML, focusing on an interactive card component with Material UI design elements. Offered by James Briggs, under 1 hour.
Learn to build a Q&A AI using Python in less than an hour with James Briggs. Master open-domain question-answering (ODQA) to retrieve information in a natural, human-like way.
Explore the unique language of Dhivehi and learn to build an effective WordPiece tokenizer in this short, engaging program by James Briggs.
Explore semantic search and question-answering in NLP with James Briggs. Learn about different QA forms, their components, and applications in under an hour.
Learn to develop multilingual sentence transformers with James Briggs in under an hour. Understand how multilingual models work, the datasets to use, and how to apply pretrained models.
Learn to fine-tune high-quality sentence transformers using multiple negatives ranking (MNR) loss in under an hour with James Briggs.
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