AI
3 sources
3 sources
32 non lus sur 32
I wanted to see how my fully local home voice assistant compared to the latest GPT Live, so I tested it using the same conversation used in their "Improved Intelligence" demo. In this video they ask the AI to see if a flight route is feasib
266 points · 208 commentaires
Planning to build a PC mainly for local LLMs/coding agents. I keep seeing 3090 + Qwen 3.8 Flash Next benchmarks, but could not find enough info for the 7900 XTX 24GB. 3090s are hard to find where I live, while newer Nvidia GPUs are too expe
Some people says terminal bench reflects model intelligence better than the intelligent index. From the look of it, the ranking does seem to reflect how people feel about the open and closed models. For the open models, GLM-5.3 is in a leag
https://huggingface.co/security.txt submitted by /u/Nunki08 [link] [comments]
submitted by /u/jinnyjuice [link] [comments]
116 points · 117 commentaires
I believe I may currently hold the record for memory constrained inference for Qwen3.8–Flash-Next on Apple Silicon — needing only about 21GB of allocations. Introducing Cherenkov, an inference engine for Apple Silicon combining predictive e
After noticing that it is ranked among MUCH larger frontier models in the EQ-Bench Creative Writing benchmark and the Hemingway-bench, I decided to give it a try and was very impressed. I didn't do very formal testing, but I did ask it to e
A few years ago a 100GB was considered a very large language model. What do we call under 100GB models now? Tiny models? haha submitted by /u/Terminator857 [link] [comments]
Github Repo. Blog post. 💡 TL;DR (from the Github Readme) Spend less without making the agent do less useful work. SoL-Pi is a standalone extension for Pi that packages four reusable efficiency mechanisms discovered through scaled auto-rese
Title says it all. https://github.com/gjabdelnoor/Day1DeepseekV4.1-CPU The goal is pretty simple, I like having infinite slow tokens from the bioinformatics machine in the lab to run overnight or over-week agentic jobs, paired with a watche
159 points · 222 commentaires
432 points · 184 commentaires
183 points · 8 commentaires
Abstract: (shortened) In recent years, automatic analysis over this unstructured data has become possible via machine learning (ML). Analysts can use ML to extract structured information from these unstructured sources, such as object types
(I used both AI and vibecoding tags because the article describes training a logistic regression on LLM output. I thought there was a statistics tag that would have been appropriate but apparently not!) Comments
512 points · 161 commentaires
220 points · 231 commentaires
1181 points · 447 commentaires
148 points · 107 commentaires
488 points · 418 commentaires
713 points · 237 commentaires