9/ LLMs for Industrial Control – an approach to select demonstrations and generate high-performing prompts used with GPT for executing tasks such as controlling (Heating, Ventilation, and Air Conditioning) for buildings.
AI
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NeuroImagen reconstructs visual stimuli from EEG signals
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5/ NeuroImagen – a pipeline for reconstructing visual stimuli images from EEG signals to understand visually-evoked brain activity; a latent diffusion model takes EEG data and reconstructs high-resolution visual stimuli images.
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SynJax: Vectorized Inference for Structured Distributions
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6/ SynJax – a library that provides an efficient vectorized implementation of inference algorithms for structured distributions; enables building large-scale differentiable models that model structure in data like segmentation and constituency trees.
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Synthetic Data Reduces Sycophancy in Large Language Models
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7/ Synthetic Data Reduces Sycophancy in LLMs – proposes fine-tuning on simple synthetic data to reduce sycophancy in LLMs; finds that LLMs repeat the user’s view even when the opinion is wrong.
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Political Biases in LLMs Reinforce Media Polarization
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2/ Political Biases Found in NLP Models – measures media biases in LLMs, including the fairness of downstream NLP models tuned on top of politically biased LLMs; reveals that LLMs have political leanings which reinforce existing polarization in corpora.
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LLMs as Database Administrators: Maintenance and Diagnosis
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1/ LLMs as DBA – uses LLMs to acquire database maintenance experience from text; performs DB maintenance knowledge detection from documents & tools, tree of thought reasoning for root cause analysis, and collaborative diagnosis using multiple LLMs.
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Top ML Papers Week: Agents, LLMs and Industrial Applications
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Top ML Papers of the Week (August 7 – August 13): – AgentBench
– NeuroImagen
– Trustworthy LLMs
– Evaluating LLMs as Agents
– LLMs for Industrial Control
– LLMs as Database Administrators
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Finetuning Open-Source LLMs: Insights and Recommendations
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A nice answer to whether you should finetune (open-source) LLM or not. And other cool insights in the post.
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Fine-tuning Essential for Top-tier AI Performance on Specific Tasks
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Also I like this post from @karpathy on same topic. "reaching top tier performance will include finetuning, especially in applications with concrete well-defined tasks where it is possible to collect a lot of data and 'practice' on it."
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Accepting Turbulence: The Future of Work Ahead
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Accepting Turbulence Is the Only Way to Face the #FutureofWork https://
bloom.bg/45m8PKD via @Bloomberg