What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...
Understanding language in the real world requires us to compose the meaning of individual words in a way that makes the final composed product more meaningful than the string of isolated words. For ...
Word processing entails retrieval of a unitary yet multidimensional semantic representation (e.g., a lemon’s colour, flavour, possible use) and has been investigated in both cognitive neuroscience and ...
We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...
Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...
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