Zain Hasan sur X : "why do large language models pay more attention to and reason better over the beginning and end of what you tell them in prompts?"
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Aran Komatsuzaki sur X : "performance of LLMs with user prompt at the top vs. bottom of the user input (e.g. this image)"
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2024-03-31 A propos
GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
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2024-01-18 A propos
LlamaIndex 🦙 (GPT Index) sur Twitter : "Pretty much everyone building LLM apps over data has to figure out how to... cram arbitrary data into limited context windows?"
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Archit Sharma sur Twitter : "Direct Preference Optimization (DPO) allows you to fine-tune LMs directly from preferences via a simple classification loss, no RL required"
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2023-05-31 A propos
Eric sur Twitter : "...Introducing Direct Preference Optimization (DPO), a simple classification loss provably equivalent to RLHF"
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2023-05-31 A propos
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Aran Komatsuzaki sur Twitter : "Scaling Transformer to 1M tokens and beyond with Recurrent Memory Transformer..."
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2023-04-25 A propos
The Rundown AI sur Twitter : "... useful ChatGPT prompt techniques ..."
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2023-04-20 A propos
shikhar sur Twitter : "Instead of asking whether tree structure should be baked into NNs, our new paper asks if transformers already have a tendency to learn tree structured computations when trained on language, and if this structure is predictive of generalization! "
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2022-12-09 A propos
Stanford NLP Group sur Twitter : "YONO: You Only Need One Model for Open-domain Question Answering..."
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2022-12-05 A propos
Stanford NLP Group sur Twitter : "...how to use AI systems to augment the work of humans in interactive systems "
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2022-03-05 A propos
AK sur Twitter : "You Only Need One Model for Open-domain Question Answering..."
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2021-10-16 A propos