Prompting/In-context learning AND Retrieval Augmentation
Common descendants
16 Documents
NER using DSPy
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2024-04-12 About
Leonie sur X : "Ollama allows you to run open source LLMs LOCALLY..."
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2024-03-30 About
DSPy Cheatsheet | DSPy
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2024-03-30 About
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 About
Intro to DSPy: Goodbye Prompting, Hello Programming! | by Leonie Monigatti | Feb, 2024 | Towards Data Science
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2024-03-01 About
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 About
[2310.03025] Retrieval meets Long Context Large Language Models
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2023-10-07 About
Inside DSPy: The New Language Model Programming Framework You Need… – Towards AI
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2023-09-06 About
Omar Khattab sur X : "Announcing 𝗗𝗦𝗣y..."
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2023-08-24 About
[2212.14024] Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
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2023-06-23 About
Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."
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2023-06-18 About
Retrieval-augmented LMs, and prompting
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2023-06-16 About
Retrieval Augmented Generation (RAG) | Prompt Engineering Guide
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2023-06-16 About
LangChain Retrieval Webinar - YouTube
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2023-05-27 About
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 About
Guiding Frozen Language Models with Learned Soft Prompts – Google AI Blog
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2023-02-14 About