One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning paper page: https://
huggingface.co/papers/2306.07
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… present Generalized LoRA (GLoRA), an advanced approach for universal parameter-efficient fine-tuning tasks. Enhancing Low-Rank Adaptation (LoRA), GLoRA employs a generalized
AI
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GLoRA: Generalized LoRA for Efficient Model Fine-tuning
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WebGLM: Efficient Web-Enhanced Question Answering System
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WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences paper page: https://
huggingface.co/papers/2306.07
906
… present WebGLM, a web-enhanced question-answering system based on the General Language Model (GLM). Its goal is to augment a pre-trained large language -
Algorithmic Innovation: The Next Frontier Beyond Scaling
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biggest questions in ai: – since the transformer, most AI improvement was via scaling up & great engineering
– almost no algorithmic ideas have driven performance, besides RLHF
– future gains will likely require algorithmic innovation how long will they take? who does them? -
Empathy as Critical Future Skill Beyond Technology Mastery
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Empathy is a critical skill for the future, one that technology will never entirely master Linguist Richard D. Lewis created communication patterns for global negotiations. These frameworks provide invaluable insights for mastering empathy on a global scale #SkillsoftheFuture
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AI Creates Perfect Meal from Every Western European Country
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AI asked to make the perfect Meal from every Western European Country 1. Italian
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LangChain SQL chains versus agents: comparative analysis
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we have both in langchain, often for the same purpose! eg SQL chain vs SQL agent pros and cons to each
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Chains vs Agents: Deterministic vs Nondeterministic AI Systems
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assuming im understanding you correctly, this is me is the difference between "chains" and "agents" (at least as far as how I think about them) chains = deterministic sequence of steps = code shell
agents = nondeterministic sequence of steps = llm shell -
Socially Aware Temporally Casual Decoder Recommender Systems Study
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STUDY: Socially Aware Temporally Casual Decoder Recommender Systems paper page: https://
huggingface.co/papers/2306.07
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… With the overwhelming amount of data available both on and offline today, recommender systems have become much needed to help users find items tailored to their interests. -
Image Captioners as Scalable Vision Learning Models
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Image Captioners Are Scalable Vision Learners Too paper page: https://
huggingface.co/papers/2306.07
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… Contrastive pretraining on image-text pairs from the web is one of the most popular large-scale pretraining strategies for vision backbones, especially in the context of large multimodal -
Instant Multi-View Head Capture through Learnable Registration
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Instant Multi-View Head Capture through Learnable Registration
— AK (@_akhaliq) 14 juin 2023
paper page: https://t.co/cgIfWuUvki
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS)… pic.twitter.com/8h3YoWOHIwInstant Multi-View Head Capture through Learnable Registration paper page: https://
huggingface.co/papers/2306.07
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… Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS)