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House schedules first Biden impeachment inquiry hearing: Report | Just T... (justthenews.com)
House Republicans are scheduling the first Biden impeachment inquiry hearing to examine evidence and provide an update on the inquiry's progress.
4,465 chars / 662 words / 158 lines
Slide Presentation (11 slides)
Clinton Foundation to Launch 'Ukraine Action Network' | Newsmax.com (www.newsmax.com)
The Clinton Foundation plans to establish the 'Ukraine Action Network' to aid Ukraine's progress by working with government officials, business leaders, and civil society to promote development, democracy, and combat corruption.
72,977 chars / 10,956 words / 2,870 lines
Slide Presentation (10 slides)
https://www.facebook.com/jasonsprousey8/videos/1242053273028959 (www.facebook.com)
Why a Titanium iPhone 15 Pro Is a Bigger Deal Than You Think | by The Us... (medium.com)
The iPhone 15 Pro's new titanium body is causing anticipation as it offers a different look and texture from previous versions.
4,616 chars / 859 words / 184 lines
Slide Presentation (8 slides)
Characterizing Latent Perspectives of Media Houses (arxiv.org)
The paper suggests using pre-trained language models like GPT-2 to analyze media perspectives on public figures through a zero-shot approach for generative characterizations.
42,455 chars / 6,644 words / 808 lines
Slide Presentation (10 slides)
Schema-learning and rebinding in in-context learning (arxiv.org)
The paper suggests using clone-structured causal graphs as an effective tool for understanding in-context learning in large language models.
70,458 chars / 12,163 words / 1,533 lines
Slide Presentation (12 slides)
Memory Injections Correcting Multi-Hop Reasoning Failures (arxiv.org)
The article discusses the problem of multi-hop reasoning failures in Large Language Models and suggests a solution called memory injections.
50,098 chars / 8,347 words / 1,382 lines
Slide Presentation (11 slides)
Large Language Models for Compiler Optimization (arxiv.org)
The document explores the application of Large Language Models (LLMs) in compiler optimization, specifically in compiler pass ordering, and introduces a 7B-parameter transformer model trained to optimize LLVM assembly for code size.
56,625 chars / 9,150 words / 1,211 lines
Slide Presentation (8 slides)
Scaling Physics-Informed Neural Networks for High-Dimensional PDEs (arxiv.org)
This text discusses the scaling of Physics-Informed Neural Networks (PINNs) for high-dimensional PDEs, which involves randomly selecting indices and computing gradients.
120,236 chars / 21,648 words / 3,342 lines
Slide Presentation (8 slides)
Secrets: write-up best practices, do's and don'ts, roadmap ยท Issue #1349... (github.com)
The text explores the challenges and uncertainties of managing secrets in Docker, particularly through volume recreation during build steps.
30,067 chars / 4,622 words / 927 lines
Slide Presentation (6 slides)
