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LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization , chatbots , and code analysis .
LangChain for instance utilizes sentence transformers for purposes of indexing documents. In particular, an indexing is generated by generating embeddings for chunks of documents and storing (document chunk, embedding) tuples.
DBRX is an open-sourced large language model (LLM) developed by Mosaic ML team at Databricks, released on March 27, 2024. [1] [2] [3] It is a mixture-of-experts transformer model, with 132 billion parameters in total. 36 billion parameters (4 out of 16 experts) are active for each token. [4]
Things like AutoGPT and LangChain, all of that I put in the tooling set and now we're just starting to see exciting, true AI applications that are not just being tested in the experimental budgets ...
deepset is an enterprise software vendor that provides developers with the tools to build production-ready natural language processing (NLP) systems. It was founded in 2018 in Berlin by Milos Rusic, Malte Pietsch, and Timo Möller.
Project Jupyter (/ ˈ dʒ uː p ɪ t ər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages.
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Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc.. The data elements Neo4j stores are nodes, edges connecting them, and attributes of nodes and edges.