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 cset.georgetown.edu
The Surprising Power of Next Word Prediction: Large Language Models Explained, Part 1 | Center for Security and Emerging Tech...
| | jalammar.github.io
The Illustrated Retrieval Transformer - Jay Alammar - Visualizing machine learning one concept at a time.
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| | Discussion: Discussion Thread for comments, corrections, or any feedback. Translations: Korean, Russian Summary: The latest batch of language models can be much smaller yet achieve GPT-3 like performance by being able to query a database or search the web for information. A key indication is that building larger and larger models is not the only way to improve performance. Video The last few years saw the rise of Large Language Models (LLMs) - machine learning models that rapidly improve how machines process and generate language. Some of the highlights since 2017 include: The original Transformer breaks previous performance records for machine translation. BERT popularizes the pre-training then finetuning process, as well as Transformer-based contextualized...
| | trishagee.com
Is testing getting in the way of your productivity? - Trisha Gee
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| | I'm working on a new talk which aims to address some of the issues that face developers when it comes to running automated tests. Please take my super-scientific survey so that I can take a look at the real issues facing developers, and structure my talk around them. Thanks! https://www.surveymonkey.com/r/TXSDVH5 Author Trisha Gee Trisha is ... Continue reading "Is testing getting in the way of your productivity?"
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | phillipreeve.net
Manual Photographers - phillipreeve.net
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| The Manual Photographers Series In this series we portrait photographers who use manual lenses for most of their photography just like us. The Team: Part 0.1: Phillip Reeve Part 0.2: BastianK Part 0.3: Jannik Peters Part 0.4: David Braddon-Mitchell Part 0.5: JuriaanM Guests: Part 1: Dan Noland Part 2: Martijn Kort Part 3: Oliver Fecher ... Continue reading Manual Photographers ?