8). Model Kinship for Merging LLMs – proposes model kinship to measure the degree of similarity between LLMs; model kinship is used to build a model merging strategy (Top-k Greedy Merging with Model Kinship) which yields better performance.
RESEARCH
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Janus: Unified Autoregressive Framework for Multimodal Understanding
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5). Janus – proposes a unified autoregressive framework for multimodal understanding and generation; it decouples visual encoding into independent pathways and leverages a single transformer architecture to improve flexibility and performance on both visual understanding and
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Inference Scaling Laws for Long-Context RAG Systems
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6). Inference Scaling for Long-Context RAG – uses two strategies to investigate scaling laws for RAG: in-context learning and iterative prompting; RAG performance improves with the expansion of the effective context length under optimal configurations.
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First-Person Fairness Biases in ChatGPT Analysis
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3). First-Person Fairness in Chatbots – studies first-person fairness which involves fairness towards users interacting with ChatGPT; specifically, it measures the biases, if any, towards the users’ names…
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LLM Introspection Enables Self-Knowledge and System Interpretability
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4). Introspection in LLMs – reports that LLMs can acquire knowledge through introspection that cannot be inferred from their training data; suggests that LLMs contain privileged information about themselves that can potentially lead to more interpretable and controllable systems.
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LLM Engineer’s Handbook Becomes Number One Neural Networks Release
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Really happy to see that the LLM Engineer's Handbook is #1 New Release in Neural Networks We put an insane amount of work into this book. I hope it'll help a new generation of LLM engineers and tinkerers to build production-level AI systems.
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Visual Guide to Quantization in AI Models
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A Visual Guide to Quantization https://
bit.ly/3Y7BqBM
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
The Role Of AI In Shaping The Future Of Education
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The Role Of AI In Shaping The Future Of Education
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/uEA930sH8ZW -
Specialized vs General Purpose Circuitry in AI Learning
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Thank you. I like the distinction between learning with specialized circuitry rather than general purpose circuitry.
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GPT-5’s future: LLMs will communicate with multimedia in real-time
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GPT-5, (GPT-n, etc) won't just reply with sentences. the future of LLMs is really about breaking out of the text box and communicating in the way we actually think through a blend of words, images, video, and sounds that change in real-time based on how the user is reacting to