Search:
Match:
3 results

Analysis

This paper presents a novel method for extracting radial velocities from spectroscopic data, achieving high precision by factorizing the data into principal spectra and time-dependent kernels. This approach allows for the recovery of both spectral components and radial velocity shifts simultaneously, leading to improved accuracy, especially in the presence of spectral variability. The validation on synthetic and real-world datasets, including observations of HD 34411 and τ Ceti, demonstrates the method's effectiveness and its ability to reach the instrumental precision limit. The ability to detect signals with semi-amplitudes down to ~50 cm/s is a significant advancement in the field of exoplanet detection.
Reference

The method recovers coherent signals and reaches the instrumental precision limit of ~30 cm/s.

Research#llm📝 BlogAnalyzed: Dec 28, 2025 19:00

Which are the best coding + tooling agent models for vLLM for 128GB memory?

Published:Dec 28, 2025 18:02
1 min read
r/LocalLLaMA

Analysis

This post from r/LocalLLaMA discusses the challenge of finding coding-focused LLMs that fit within a 128GB memory constraint. The user is looking for models around 100B parameters, as there seems to be a gap between smaller (~30B) and larger (~120B+) models. They inquire about the feasibility of using compression techniques like GGUF or AWQ on 120B models to make them fit. The post also raises a fundamental question about whether a model's storage size exceeding available RAM makes it unusable. This highlights the practical limitations of running large language models on consumer-grade hardware and the need for efficient compression and quantization methods. The question is relevant to anyone trying to run LLMs locally for coding tasks.
Reference

Is there anything ~100B and a bit under that performs well?

Analysis

Compose.ai is a Chrome extension that uses AI to speed up writing, particularly email. The article highlights the challenges of real-time prediction speed, model complexity, and website integration. The founder's motivation stems from the repetitive nature of email replies and a long-standing interest in human-computer interaction. The product's value proposition is time-saving through autocompletion, rephrasing, and email generation across various websites.
Reference

The founder's experience with integrating with different websites, including shadow DOM and iframes, highlights the technical hurdles in creating a tool that works across multiple platforms.