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The most powerful of the Jurassic-2 models, Jurassic-2 Ultra is a large language model (LLM) by AI21 Labs, ready for deployment in your private environment. As a heavy-duty LLM, Jurassic-2 Ultra excels at executing complex language comprehension and generation tasks using natural language...
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Optimized for both quality and affordability, Jurassic-2 Mid is a large language model (LLM) by AI21 Labs, ready for deployment in your private environment. As a mid-sized LLM, Jurassic-2 Mid is designed to optimize production costs and speed without sacrificing quality. Jurassic-2 Mid excels at...
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This algorithm produces similarity scores for a document or a line of text compared to documents in a corpus. The algorithm includes a tf-idf text featurizer to create n-gram features describing the text. It then uses the library scipy.spatial.distance to compute the cosine distance between the new...
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Text embedding models are neural networks that transform texts into numerical vectors. They are a crucial building block for semantic search/retrieval systems and retrieval-augmented generation (RAG) and are responsible for the retrieval quality. voyage-large-2-instruct is a cutting-edge...
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Text embedding models are neural networks that transform texts into numerical vectors. They are a crucial building block for semantic search/retrieval systems and retrieval-augmented generation (RAG) and are responsible for the retrieval quality. voyage-code-2 is a cutting-edge embedding model that...
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Embed Light translates text into numerical vectors that models can understand. The most advanced generative AI apps rely on high-performing embedding models to understand the nuances of user inputs, search results, and documents. Embed Light is a smaller version of Embed with 384 dimensions.
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Jina Embeddings v2 Base model is optimized for highly accurate embeddings - For speed of inference and memory efficiency use the Small model. jina-embeddings-v2-base-en is an open-source English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many...
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Text embedding models are neural networks that transform texts into numerical vectors. They are a crucial building block for semantic search/retrieval systems and retrieval-augmented generation (RAG) and are responsible for the retrieval quality. voyage-finance-2 is optimized for finance domain...
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Command R is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This variant...
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Cohere's Rerank endpoint enables you to significantly improve search quality by augmenting traditional key-word based search systems with a semantic-based reranking system which can contextualize the meaning of a user's query beyond keyword relevance. Cohere's Rerank delivers much higher quality...
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