Pre-Trained Language Models AND Vector database
Common descendants
16 Documents
LlamaIndex sur X : "Save Memory (and Money) in RAG pipeline with @Cohere 's Int8 and Binary Embeddings..."
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2024-03-30 About
Leonie sur X : "Ollama allows you to run open source LLMs LOCALLY..."
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2024-03-30 About
RAG makes LLMs better and equal | Pinecone
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2024-03-13 About
Jerry Liu sur Twitter : "if you have access to a rich query language (e.g. SQL / any DSL), use a vector db to index additional metadata to help the LLM execute queries using this query language, while preventing prompt overflows!
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2023-07-20 About
Jerry Liu sur Twitter : "Tuning top-k for semantic search is challenging... Introducing the LlamaIndex AutoRetriever for vector databases"
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2023-05-13 About
Domain Adaptation with Generative Pseudo-Labeling (GPL) | Pinecone
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2023-04-09 About
Jo Kristian Bergum sur Twitter : "The movement around connecting LLMs with your data via retrieval augmentation seems to lack a focus on retrieval quality."
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2023-04-07 About
Multilingual Sentence Transformers | Pinecone
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2023-01-13 About
BERTopic: The Future of Topic Modeling | Pinecone
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2022-05-12 About
Domain Transfer with BERT | Pinecone
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2022-01-04 About
Making the Most of Data: Augmentation with BERT | Pinecone
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2021-12-18 About
Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine
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2021-12-05 About
Unsupervised Training for Sentence Transformers | Pinecone
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2021-11-24 About
Multilingual Sentence Transformers | Pinecone
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2021-11-04 About
Next-Gen Sentence Embeddings with Multiple Negatives Ranking Loss | Pinecone
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2021-10-27 About
Sentence Embeddings and Transformers | Pinecone
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2021-10-23 About