Entirely separately: I have a relatively unimportant concern about whether there's going to be a class of people who make up psychotic hypotheses about LLMs, continually find apparent evidence for those hypotheses as they keep talking to the LLM, and are driven more insane by
LLMS
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LLM Whisperer: Psychotic Tendencies and Pattern Recognition Skills
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So there's a made-up speculation I have, which goes like this: maybe LLM Whisperer is a job where psychotic leanings are rewarded by skill acquisition. Let's say you read some text, and you form a theory: This text is trying to communicate a secret message to you, and this
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Meta’s LongVU VideoLLM Authors Discuss Research
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Authors of LongVU, the new VideoLLM from @AIatMeta
, discussing their work this week on alphaXiv! http://
alphaxiv.org/abs/2410.17434 Huge shoutout to the team @xiaoqian_shen @liuzhuang1234 @Hu_Hsu @garvinchen2 @klightlm @zechunliu @balakrishnan_vr Florian Bordes @Fanyi_Xiao @hyunwoojkim -
Choosing Right Embedding Models for RAG Applications
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Choosing the right embedding model for your RAG application: a comprehensive guide – Unstructured https://
bit.ly/4ewHUzJ
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Together AI, Fireworks AI, and Groq Lead Open LLM Deployment Innovation
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"Companies like Together AI, Fireworks AI, and Groq are emerging players that focus on making it easier to deploy, scale and optimize open LLMs. Their tools and platforms streamline the deployment process, improving scalability." — @julianeagu / @Forbes https://
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LLM Safety Concerns in Medical Applications Highlighted
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100% agree with @rajiinio
. Please do see also the specific alarm re LLM ls and medicine that she cites. -
Pangea: Open Multilingual Multimodal LLM for 39 Languages
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Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
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Paper: https://
arxiv.org/abs/2410.16153
Project website: https://
neulab.github.io/Pangea/
Model: https://
huggingface.co/neulab/Pangea-
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Extended post by @xiangyue96 : -
CMU releases NaturalBench for multimodal LLM evaluation
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This week, we(two amazing research groups at CMU) released two projects in multimodal evaluation and multilingual multimodal LLMs. – NaturalBench: A vision-centric VQA evaluation benchmark that challenges all leading multimodal LLMs while using natural images and simple
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OpenAI o1 Model Reasoning Patterns and Performance Analysis
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10). Reasoning Patterns of OpenAI’s o1 Model – when compared with other test-time compute methods, o1 achieved the best performance across most datasets; the authors observe that the most commonly used reasoning patterns in o1 are divide and conquer and self-refinement.
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LLMs Reflect Creator Ideology Across Languages
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8). LLMs Reflect the Ideology of their Creators – finds that LLMs exhibit a diverse ideological stance which reflects the worldview of its creators; finds consistent normative differences between how the same LLM responds in Chinese compared to English.