NLP: Text Representation AND LLM
Common descendants
14 Documents
LlamaIndex 🦙 sur X : "Fine-tuning Embedding Models for RAG with LoRA'
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2024-04-23 About
Jo Kristian Bergum sur X : "...helping people understand the shortcomings of text embedding models for their data. The most powerful has been demonstrating how the embedding models' tokenizers work."
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2024-03-16 About
Nils Reimers sur X : "Embeddings can store only 1 aspect/topic per embedding well."
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2024-03-13 About
openai-cookbook/examples/Customizing_embeddings.ipynb
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2023-09-17 About
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
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2023-08-25 About
[2305.07185] MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
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2023-07-01 About
[2305.12517] Retrieving Texts based on Abstract Descriptions
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2023-06-15 About
skeskinen/bert.cpp: ggml implementation of BERT
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2023-05-09 About
Aran Komatsuzaki sur Twitter : "Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System Enables LLMs to outperform ChatGPT in scenarios involving ultra-long document summarization or long-term conversations."
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2023-04-27 About
[2202.08904] SGPT: GPT Sentence Embeddings for Semantic Search
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2023-04-25 About
Jo Kristian Bergum sur Twitter : "Do GTP embeddings work for our domain?"
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2023-04-07 About
Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."
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2023-04-05 About
[2212.09741] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
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2023-02-17 About
[2201.04337] PromptBERT: Improving BERT Sentence Embeddings with Prompts
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2022-09-16 About