Explore latest Editor's Choice Articles in @MDPIOpenAccess Informatics Journal: https://
mdpi.com/journal/inform
atics/editors_choice
โฆ #AI #GenAI #LLMs #ML #MachineLearning ๐๐๐ซ๐ ๐๐ซ๐ ๐๐ ๐๐ซ๐จ๐ฆ ๐ญ๐ก๐ ๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐ฅ๐ข๐ฌ๐ญ: The Use of Artificial Intelligence to Analyze the Exposome in the
LLMS
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Editor’s Choice Articles in MDPI Informatics Journal on AI
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o1 API Enables Reliable Agentic Workflows Through Advanced Reasoning
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One of the coolest things since we launched @OpenAI o1 in the API is seeing founders turn agentic workflows that werenโt reliably workingโand suddenly watch them click into place with reasoning.
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5-Point Strategy Guide to Prevent MS Copilot Hallucinations
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5-point Strategy Guide to prevent MS Copilot hallucinations and bad answers: https://
shelf.io/resource/5-poi
nt-strategy-guide-to-prevent-ms-copilot-hallucinations-and-bad-answers/
โฆ by @shelf_io โโ
#AI #GenerativeAI #LLMs #DataQuality โโ
๐ฟ๐๐จ๐๐ง๐๐ฅ๐ฉ๐๐ค๐ฃ: "This guide designed to help teams working on #GenAI Initiatives gives you 5 actionable -
OpenAI argues fair use doctrine permits LLM training copyrighted content
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Defense lawyers said fair use doctrine allows OpenAI to train its LLMs using copyrighted content since the content was in ways that differ from their primary purpose & used in non-commercial context. https://
tinyurl.com/4y2yed88 More points OpenAI & Microsoft's lawyers made in court: -
NYT Sues OpenAI Over Copyrighted Content Training Use
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NYT claims OpenAI used copyrighted content to train its LLMs, with @ChatGPTapp generating outputs w/ paragraphs or full NYT articles. See the screenshot for example points made the plaintiffs and read more in the full @Digiday story: https://
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LLMs: Beyond Pre-training Limits via Tool Use and Agents
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LLMs may have reached a pre-training limit, but thereโs still huge potential for progress in enhancing tool use and agentic capabilities
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Finbarr Timbers on Reinforcement Learning’s Comeback Era
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Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning https://
bit.ly/3ZJk0eh #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Llama 3, Inference Scaling, and Multimodal LLM Paradigms 2025
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The TOC as a tl;dr
1. Of course, the Llama 3 series as one of the main open-weight model releases this year, featuring more sophisticated pre- and post-training pipelines
2. Techniques for improving LLMs by scaling inference-time compute
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Noteworthy AI Research Papers 2024 Part 2 Review
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Catching up on improving LLMs by scaling inference-time compute, new LLM scaling laws for precision, and more…ย
"Noteworthy AI Research Papers 2024 Part 2" is now formatted and published. It was certainly an eventful year for this fast-moving field: -
From Traditional ML Training to ChatGPT-Based Model Development
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1. Paper w/math -> training code -> hyperparams + data -> model -> wrapper 2. Paper w/math -> chatGPT + data -> wrapper At what time point does 1 to 2 happen? (If at all)