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        https://s3.amazonaws.com/assets.fullstack.io/n/20250722182237417_AI%20Bootcamp%20cover%20image%20%281%29.png

        lesson

        Tokens, Embeddings & Modalities — Foundations of Understanding Text, Image, and AudioAI Bootcamp

        - Understand the journey from raw text → tokens → token IDs → embeddings - Compare word-based, BPE, and advanced tokenizers (LLaMA, GPT-2, T5) - Analyze how good/bad tokenization affects loss, inference time, and semantic meaning - Learn how embedding vectors represent meaning and change with context - Explore and manipulate Word2Vec-style word embeddings through vector math and dot product similarity - Apply tokenization and embedding logic to multimodal models (CLIP, ViLT, ViT-GPT2) - Conduct retrieval and classification tasks using image and audio embeddings (CLIP, Wav2Vec2) - Discuss emerging architectures like Byte Latent Transformers and their implications


        Articles

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        Jam on your MIDI keyboard in Angular

        Web MIDI API is an interesting tool. Even though it has been around for a whi...

        Writing Retrowave in Angular

        Web Audio API has been around for a while now and there are lots of great art...