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Enroll for free: https://bit.ly/49Cd8E5 Learn to build AI applications capable of processing entire books with efficiency and high-quality outputs using the Jamba model, a hybrid of transformer and Mamba architectures. Most large language models struggle with long contexts due to computational limits or quality loss. Jamba, developed by AI21 Labs, solves this by combining the efficiency of Mamba with the precision of transformers. In this short course, Build Long-Context AI Apps with Jamba, built in partnership with AI21 Labs and taught by Chen Wang and Chen Almagor, you’ll: - Learn how the hybrid Jamba architecture processes long contexts efficiently. - Gain practical experience in tasks like processing large documents, tool-calling, and building RAG pipelines. - Explore the training process and performance metrics for long-context models. Taught by experts Chen Wang and Chen Almagor from AI21 Labs, this course includes hands-on labs and real-world applications to help you build better AI. Learn more: https://bit.ly/49Cd8E5
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