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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.
Explore prompt engineering for LLMs like GPT-3 with James Briggs' under 1-hour guide on LangChain's key features, including PromptTemplates and example selectors.
This course covers OpenAI's generative question-answering system, from architecture to querying and testing answers. A great way to get into natural language processing!
Learn to use Google's TAPAS for intelligent table question-answering in Python, with James Briggs' under 1-hour guide. Also explore Pinecone vector database and Microsoft MPNet QA model.
Learn to work with dataset builder scripts, use the download manager, and understand Apache Arrow datatypes in Python with James Briggs' under 1-hour material.
This course covers comparison between OpenAI and Cohere's embedding models & covers implementation, data prepping and creating multilingual vector index and queries.
Explore the world of AI-powered search with James Briggs. Learn about sparse and dense vector search, and the innovative SPLADE model. Less than 1-hour commitment.
Learn to use the Reddit API in Python with James Briggs. Master setup, authorization, and data extraction from subreddits 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 host your own datasets via Hugging Face Datasets Hub with James Briggs' beginner-friendly guide. Less than 1-hour workload.
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