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Favoris ; Knowledge AND Retrieval augmented LM

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Retrieval augmented LM

56 Documents

[2404.13950] SPLATE: Sparse Late Interaction Retrieval

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2024-04-23 A propos

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2024-04-12 A propos

Leonie sur X : "Ollama allows you to run open source LLMs LOCALLY..."

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2024-03-30 A propos

DSPy Cheatsheet | DSPy

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2024-03-30 A propos

Krista Opsahl-Ong sur X : "Got a pipeline with **multiple prompts**, like a DSPy program? ... Introducing MIPRO, a Multi-prompt Instruction Proposal Optimizer...."

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2024-03-09 A propos

ColBERT gist:c1182551fa609736d47df4af82f7c5ab

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2024-03-08 A propos

ColBERT Inference in the Browser

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2024-03-08 A propos

Announcing Vespa Long-Context ColBERT | Vespa Blog

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2024-03-03 A propos

Intro to DSPy: Goodbye Prompting, Hello Programming! | by Leonie Monigatti | Feb, 2024 | Towards Data Science

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DSPy (Demonstrate-Search-Predict)

2024-03-01 A propos

Omar Khattab sur X : "ColBERT in 81 languages by generalizing from English training! ..."

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2024-02-28 A propos

Omar Khattab sur X : "A thread on late interaction, how it works efficiently, and why/where it's been shown to improve quality"

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2024-02-05 A propos

Craig Macdonald sur X : "a thread of our main ColBERT research findings"

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2024-02-01 A propos

long document ranking · Issue #11 · stanford-futuredata/ColBERT

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2024-01-31 A propos

Exploring ColBERT with RAGatouille | Simon Willison’s TILs

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2024-01-29 A propos

Jo Kristian Bergum sur X : (on "why using ColBERT?")

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2024-01-28 A propos

bclavie/RAGatouille

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2024-01-26 A propos

Omar Khattab sur X : "...Let's use 30 lines of DSPy—without any hand-written prompts or any calls to OpenAI ($0)—to teach..."

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2024-01-01 A propos

Omar Khattab sur X : "A🧵on beating the hardware lottery for retrieval: the internals of the late interaction stack. ColBERT..."

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2023-12-29 A propos

raphaelsty/neural-cherche: Neural Search

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2023-11-17 A propos

[2310.03025] Retrieval meets Long Context Large Language Models

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2023-10-07 A propos

Fine-tuning with Retrieval Augmentation - LlamaIndex

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2023-10-07 A propos

[2310.01352] RA-DIT: Retrieval-Augmented Dual Instruction Tuning

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2023-10-07 A propos

Omar Khattab sur X : "This isn't the main point of this great new paper by @sophiaalthammer et al. But it's incredible how ColBERT at 1000 training queries is better than DPR trained at *50,000* queries!"

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2023-09-14 A propos

Inside DSPy: The New Language Model Programming Framework You Need… – Towards AI

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DSPy (Demonstrate-Search-Predict)

2023-09-06 A propos

Omar Khattab sur X : "Announcing 𝗗𝗦𝗣y..."

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2023-08-24 A propos

[2212.14024] Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

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2023-06-23 A propos

Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."

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2023-06-18 A propos

Retrieval-augmented LMs, and prompting

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2023-06-16 A propos

LangChain Retrieval Webinar - YouTube

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2023-05-27 A propos

[2305.15294] Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

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2023-05-26 A propos

Jerry Liu sur Twitter : "To evaluate retrieval-augmented LLM’s, we can compare the query/response/source context to see if they match. We just added this to @gpt_index..."

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2023-04-11 A propos

[2304.01982] Rethinking the Role of Token Retrieval in Multi-Vector Retrieval

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2023-04-05 A propos

stanfordnlp/dspy: 𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.

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2023-02-18 A propos

deepset sur Twitter : " Generative models have taken the world of NLP by storm. But LLMs do not know about your personal data. This makes personal assistants, enterprise knowledge management and many other applications challenging. Retrieval augmented pipelines are the answer"

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2023-02-02 A propos

fly51fly sur Twitter : "REPLUG: Retrieval-Augmented Black-Box Language Models..."

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2023-01-31 A propos

Omar Khattab sur Twitter : "New features in 𝗖𝗼𝗹𝗕𝗘𝗥𝗧 ‣ Index Updater. Simple API to add/remove documents..."

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2023-01-30 A propos

Uri Alon sur Twitter : "K-nearest neighbors language models (kNN-LMs; @ukhndlwl et al., ICLR'2020) improve the perplexity of standard LMs... Why?"

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2023-01-11 A propos

Yi Tay sur Twitter : "Don't retrieve, recite!..."

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2022-10-06 A propos

[2208.03299] Few-shot Learning with Retrieval Augmented Language Model

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2022-08-08 A propos

[2207.06300] Re2G: Retrieve, Rerank, Generate

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2022-07-14 A propos

Recent Advances in Retrieval-Augmented Text Generation

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2022-07-11 A propos

[2203.13088] Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction

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2022-03-30 A propos

Jason Weston sur Twitter : "SeeKeR: An open source search-augmented language model"

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2022-03-25 A propos

REALM: Retrieval-Augmented Language Model Pre-Training (Paper Explained) - YouTube

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2022-01-23 A propos

[2108.13934] Robust Retrieval Augmented Generation for Zero-shot Slot Filling

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2022-01-19 A propos

Integrate ORQA and REALM for Open Domain Question Answering · Issue #312 · deepset-ai/haystack

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2022-01-12 A propos

[2004.12832] ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

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2022-01-12 A propos

[2007.00814] Relevance-guided Supervision for OpenQA with ColBERT

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2022-01-07 A propos

Improving Language Models by Retrieving from Trillions of Tokens | DeepMind

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2021-12-09 A propos

[2112.01488] ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

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2021-12-05 A propos

Building Scalable, Explainable, and Adaptive NLP Models with Retrieval | SAIL Blog

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2021-10-07 A propos

A Moderate Proposal for Radically Better AI-powered Web Search

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2021-07-10 A propos

Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"

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2021-02-23 A propos

Retrieval Augmented Generation with Huggingface Transformers and Ray | Distributed Computing with Ray

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2021-02-11 A propos

[2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training

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**Augment language model pre-training with a retriever module**, which
is trained using the masked language modeling objective.

> To capture knowledge in a more modular and interpretable way, we augment language model pre-training with a latent knowledge retriever, which allows the model to retrieve and attend over documents from a large corpus such as Wikipedia, used during pre-training, fine-tuning and inference. **For the first time, we show how to pre-train such a knowledge retriever in an unsupervised manner**, using masked language modeling as the learning signal and backpropagating through a retrieval step that considers millions of documents

Hum, #TODO: parallel to be drawn with techniques in [KG-augmented Language Models](tag:knowledge_graph_augmented_language_models) which focus "on the problem of capturing declarative knowledge in the learned parameters of a language model."

[Google AI Blog Post](doc:2020/08/google_ai_blog_realm_integrat)

[Summary](https://joeddav.github.io/blog/2020/03/03/REALM.html) for the [Hugging Face awesome-papers reading group](doc:2021/03/huggingface_awesome_papers_pap)

2020-12-12 A propos

Google AI Blog: REALM: Integrating Retrieval into Language Representation Models

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2020-08-13 A propos