Yann LeCun
RT @arankomatsuzaki: REPLUG: Retrieval-Augmented Black-Box Language Models

REPLUG with the tuned retriever significantly improves the performance of GPT-3 (175B) on language modeling by 6.3%, as well as the performance of Codex on five-shot MMLU by 5.1%.

https://t.co/rRpgnUMlfU https://t.co/dzr5rehJj4
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WeavingWithAI
Good night, fellow humans 😴

#aiart #aiartcommunity #midjourney #aiia https://t.co/kqcw76O5QY
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Mike Tamir, PhD
(99+) Introducing Bloom: The Generative Conversion Network for Product Photos | LinkedIn https://t.co/yRFx8Ew8Aq
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elvis
Mathematical Capabilities of ChatGPT

Was just thinking about a similar idea after the ChatGPT update yesterday.

Nice to see other researchers are also thinking about investigating this more in-depth.

https://t.co/m0N72cC8lN https://t.co/KidvA6KUTv
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AK
Scaling laws for single-agent reinforcement learning

abs: https://t.co/6SgKgClVab https://t.co/DUfQLTWnBr
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Earth Is A Sales Funnel For SATAN
The world is a forest which from time to time must be set on fire for the good of all life
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AK
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

abs: https://t.co/zwh87UyH0N
github: https://t.co/vQNwTn628K https://t.co/jHJld4sb5q
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surea.i
thinking about what my profile pic might look like in an alternate timeline. made with @layer_ai

(only time I've ever changed it was that time I started a twitter gang-impersonation of @takyon236 )
#aiart #aiia #imagesynthesi #synthography https://t.co/E8lO8iJw0m
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AK
Grounding Language Models to Images for Multimodal Generation

abs: https://t.co/kywcCjNTHm
project page: https://t.co/aKz2FpMYzQ

method to ground pretrained text-only LMs to the visual domain, enabling them to process and generate arbitrarily interleaved image-and-text data https://t.co/m97W8XNza8
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Aran Komatsuzaki
Faithful Chain-of-Thought Reasoning

Faithful CoT outperforms CoT on 9 out of 10 reasoning datasets by decomposing a reasoning task into two stages.

https://t.co/B1xiiVFoMZ https://t.co/5tyosFRK8i
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