Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience
MACHINE LEARNING
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Self-Attention Mechanism in Large Language Models Explained
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Self-Supervised Learning for Vision and World Models
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Self-Supervised learning.
Particularly for vision and world models. -
Planning with Learned World Models in Robotics
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Many people had the idea.
Planning is a centerpiece of control engineering, robotics, and "classical" AI.
The question is how to plan with a *learned* world model.
Many people have worked on this since the late 1980s (e.g. Widrow's "truck backer-upper").
There have been many -
LLM Reliability: Replacing Auto-Regressive Prediction with Planning
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Please ignore the deluge of complete nonsense about Q*.
One of the main challenges to improve LLM reliability is to replace Auto-Regressive token prediction with planning. Pretty much every top lab (FAIR, DeepMind, OpenAI etc) is working on that and some have already published -
LLM Fine-Tuning: Deep Dive Video Tutorial
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Dive into LLM fine-tuning in my recent video: https://
youtu.be/7mOD9kgqRf0 -
Fine-tuning and RAG: Improving AI Reliability and Reducing Hallucinations
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Fine-tuning helps but isn't a cure-all for AI issues, such as occasional 'hallucinations'. It improves knowledge robustness, and combining it with methods like Retrieval Augmented Generation (RAG) can increase the accuracy and reliability of your models.
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Specificity Improves Language Models for Finance and Medical Tasks
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Specificity enhances complex tasks, like updating a language model with finance data for better financial advice, or medical info for improved health responses.
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Fine-Tuning Large Language Models: From Generalists to Specialists
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The Art of Fine-Tuning Large Language Models… Fine-tuning transforms large language models like GPT-4 from generalists to specialists, like going from a broad education to a PhD, enabling expert-level performance in fields like medicine or finance.
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FourCastNet AI Weather Model Offers Improved Long-term Stability
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It's great to see more interest in running AI-based weather models. @WorldClimateSvc I encourage you to try our FourCastNet model, also running on @ECMWF https://t.co/O2IPWOUvbY which has much better longer-term stability due to its spherical geometry.
— Prof. Anima Anandkumar (@AnimaAnandkumar) 24 novembre 2023
I also agree with the use… https://t.co/rVSdGh3hbJIt's great to see more interest in running AI-based weather models. @WorldClimateSvc I encourage you to try our FourCastNet model, also running on @ECMWF https://
github.com/ecmwf-lab/ai-m
odels-fourcastnetv2
… which has much better longer-term stability due to its spherical geometry. I also agree with the use -
Weekly trending AI papers datasets models and spaces
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Trending papers (
http://
hf.co/papers), datasets (
http://
hf.co/datasets), spaces (
http://
hf.co/spaces) and models (
http://
hf.co/models) of the week on ! Text to Video, Audio & reinforcement learning (hi Q!) is all the rage! Follow me on HF to get my latest