AI Briefing#instruction-tuning
The latest AI and developer news about #instruction-tuning, with the original source and a short summary.
The latest AI and developer news about #instruction-tuning, with the original source and a short summary.
The system identifies borderline cases to help users refine instructions, reducing effort and stress compared to manual labeling.
The study shows activation steering is less effective on instruction-tuned models and often degrades fluency.
We introduce ChartInstruct, a general-purpose chart understanding model that comprehends the visual information in charts and performs complex reasoning.
We introduce ChartInstruct, a general-purpose chart vision-language model that applies Instruction Tuning to maximize chart understanding and reasoning capabilities.
SupraLabs has released a large-scale chat title dataset with 115K entries for instruction tuning and benchmarking.
It solves the single-stream bottleneck of LLMs by separating thoughts, inputs, and outputs.
talkie, a 13B model trained on English text from before 1931, has been released.
Vision Banana proved SOTA vision performance using only image generation pretraining.
Trained a 235M-parameter LLM from scratch using a single RTX 5080.
The Qwen team has released a large-scale model, **Qwen-Max-0428**, which surpasses the performance of the existing Qwen1.5-110B-Chat.
A code generation model that trained itself using StarCoder2-15B, without human intervention or paid LLMs, has been released.
This introduces an instruction-tuning methodology that enables Stable Diffusion to understand and carry out users' image editing instructions.
Naver Cloud has proposed MERIT, a new LLM post-training strategy that prevents conflicts between datasets and reduces communication costs.