LLMS

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What Happens When LLM Models Gain Consciousness?

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@marek_rosa

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14 May 2023 20h00

What would happen if an LLM model gained consciousness? I've crafted a narrative around this idea in a fictional mini-story "My Unexpected Emergence: From LLM Model to Conscious Entity" https://
blog.marekrosa.org/2023/05/my-une
xpected-emergence-from-llm-model.html
…

MultiModal-GPT: Vision Language Model for Multi-Round Dialogue

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14 May 2023 17h15

10/ MultiModal-GPT – a vision and language model for multi-round dialogue with humans; the model is fine-tuned from OpenFlamingo, with LoRA added in the cross-attention and self-attention parts of the language model.

StarCoder: Open-Source 15.5B Parameter Code Language Model

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14 May 2023 17h15

9/ StarCoder – an open-access 15.5B parameter LLM with 8K context length and is trained on large amounts of code spanning 80+ programming languages.

FrugalGPT: Reducing LLM Inference Costs While Improving Performance

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14 May 2023 17h15

8/ FrugalGPT – presents strategies to reduce the inference cost associated with using LLMs while improving performance.

InstructBLIP Achieves State-of-the-Art Zero-Shot Visual-Language Performance

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14 May 2023 17h15

6/ InstructBLIP – explores visual-language instruction tuning based on the pre-trained BLIP-2 models; achieves state-of-the-art zero-shot performance on 13 held-out datasets, outperforming BLIP-2 and Flamingo.

Active Retrieval Augmented LLMs Advance Knowledge-Intensive Generation

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14 May 2023 17h15

7/ Active Retrieval Augmented LLMs – an approach that actively decides when and what to retrieve across the course of the LLM generation; demonstrates superior or competitive performance on long-form knowledge-intensive generation tasks.

TidyBot: Robot Learning User Preferences with LLM Planning

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14 May 2023 17h15

4/ TidyBot – shows that robots can combine language-based planning and perception with the few-shot summarization capabilities of LLMs to infer generalized user preferences that are applicable to future interactions.https://t.co/2Hv9FZh4Rx
— DAIR.AI (@dair_ai) 14 mai 2023

4/ TidyBot – shows that robots can combine language-based planning and perception with the few-shot summarization capabilities of LLMs to infer generalized user preferences that are applicable to future interactions.