Christopher Manning sur X : "Now that everyone is writing LLM programs, the idea of doing approximate bayesian inference by sampling along linguistic pipelines (rather than k-best, etc.) is more relevant again"
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Sebastian Raschka sur X : "Since Mixture of Expert (MoE) LLMs are all the rage as of this weekend, thanks to the Mixtral-8x-7B release, here's a quick explainer..."
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2023-12-12 A propos
Jeremy Howard sur X : "I just uploaded a 90 minute tutorial, which is designed to be the one place I point coders at when they ask "hey, tell me everything I need to know about LLMs!"
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2023-09-24 A propos
Jeremy Howard sur X : "It looks like @johnowhitaker & I may have found something crazy: LLMs can nearly perfectly memorise from just 1-2 examples!"
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2023-09-06 A propos
Jerry Liu sur Twitter : "Some critical data considerations that you must take into account to make your LLM application production-ready"
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2023-07-23 A propos
Scott Condron sur Twitter : "a tag-based document explorer with <200 lines of python 1. keyword extraction 2. LLM turns keywords into tags 3. tag docs with LLM 4. document browsing on a weave board"
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2023-06-29 A propos
Aran Komatsuzaki sur Twitter : "The False Promise of Imitating Proprietary LLMs..."
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2023-06-03 A propos
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 A propos
Jim Fan sur Twitter : "...NVIDIA AI Foundations "
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2023-03-24 A propos
Andrej Karpathy sur Twitter : "Base LLMs (non-finetuned) make very strong few-shot classifiers. Describe task in English, give few examples, read off the label probabilities on test example. No gradient-based optimization necessary. It brings a cannon to a knife fight but is fast, convenient, strong baseline." / Twitter
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2023-03-19 A propos
Jerry Liu sur Twitter : "A key goal of @gpt_index is to enable end users to ask an LLM *any* questions over their own data..."
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2023-02-27 A propos
Guillaume Lample sur Twitter : "Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters..."
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2023-02-25 A propos
Maria Khalusova @maria@recsys.social sur Twitter : "Did you know that you can tweak the text output generated by a LLM without changing any of the trainable parameters?..."
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2023-02-23 A propos
Yann LeCun sur Twitter : "On the highway towards Human-Level AI, Large Language Model is an off-ramp."
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2023-02-05 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
Andrej Karpathy sur Twitter : "Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size..."
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2023-01-05 A propos
Christopher Manning sur Twitter : "As the abilities of large pre-trained language models continue to rapidly improve, as seen in this week’s ChatGPT, I find it a rather implausible position to think that these models have no understanding of the meaning of texts."
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2022-12-03 A propos
Christopher Manning sur Twitter : "This seems like an important contribution to the external validity of the (big) recent line of work on long-context transformer models"
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2022-07-18 A propos
AK sur Twitter : "You Only Need One Model for Open-domain Question Answering..."
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2021-12-23 A propos