Zero-Shot Learning enables AI intuition. Empowers machines without prior data. • Introduce novel scenarios
• Utilize flexible AI models
• Explore various applications Read more: https://
godofprompt.ai/blog/the-power
-of-prompts-explained
…
MACHINE LEARNING
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Zero-Shot Learning: AI Intuition Without Prior Data
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LMSYS Performance Reflects RLHF Choices, Not General Capabilities
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perhaps bc lmsys performance is less a judgment on general capabilities than it is of rlhf choices i dug into the data a little for curiosity sake – always worth remembering how short (and single turn) most of these queries are.
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New Book on AI Engineering with Foundation Models
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I’m excited to share that I’m working on a new book about building applications with foundation models! AI Engineering builds upon Machine Learning Systems Design, but with a focus on large scale, ready made models. The book covers: – The new AI stack (e.g. how it differs from
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Understanding Tokenizers: The Vocabulary of AI Models
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I wrote this explainer on tokenizers last year: https://
simonwillison.net/2023/Jun/8/gpt
-tokenizers/
… Effectively they're the vocabulary used by the model -
Weights Biases Data Visualization Limitations Critique
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weights & biases is great software but has anyone ever learned anything from one of these graphs? can't even see a correlation between two variables if their columns aren't next to each other
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Lutra AI Gains Self-Reflection and Faster Capabilities
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@Lutra_AI is getting easier to use and more capable! We've been hard at work bringing in more capabilities for it to self-reflect, self-debug, and run even faster — so that users can just give it high level directions and it'll figure it out. As models accelerate in
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Memory optimization strategies for model training
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didn't realize it was that easy, will take a look at; you can also try decreasing the batch size all the way down to 1, or then also decreasing sequence length until it fits, but you're compromising on max context length that way.
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The Three Essential Elements of High-Quality Datasets
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The 3 key elements of a good dataset: 1. quality
2. diversity
3. quantity You can only easily measure the last one but the performance is a sensitive function of all three. Super interesting topic ty for #longread :)! -
YOLOv9 Instance Segmentation for Medical Image Analysis
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🚀 Blog-tastic Tuesdays 🚀https://t.co/FxC8a04pof
— Satya Mallick (@LearnOpenCV) 23 avril 2024
In our latest blog post, we’ll explore how YOLOv9, the latest addition to the YOLO family, leverages the new Instance Segmentation models, taking medical image analysis to a whole new level.#computervision #objectdetection… pic.twitter.com/u47oUKZGFGBlog-tastic Tuesdays https://
learnopencv.com/yolov9-instanc
e-segmentation-on-medical-dataset/
… In our latest blog post, we’ll explore how YOLOv9, the latest addition to the YOLO family, leverages the new Instance Segmentation models, taking medical image analysis to a whole new level. #computervision #objectdetection -
Demystifying AI Machine Learning Deep Learning Terminology
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Artificial intelligence is still a different language to most people. This is a good start to start to demystify some of the terms … #ArtificialIntelligence #MachineLearning #DeepLearning #ai #GenerativeAI