A guide to Amazon Bedrock Model Distillation (preview)
When using generative ai, achieving high performance with low latency models that are cost-efficient is often a challenge, because these ...
Tag: distillation
Google DeepMind Research presents Diversity-Rewarded CFG Distillation: A Novel Tuning Approach to Improve the Balance between Quality and Diversity in Generative AI Models
Generative ai models, powered by large language models (LLM) or diffusion techniques, are revolutionizing creative realms such as art and ...
Mistral-NeMo-Minitron 8B Launched: NVIDIA's Latest AI Model Redefines Efficiency and Performance Using Advanced Knowledge Pruning and Distillation Techniques
NVIDIA has introduced Mistral-NeMo-Minitron 8Ba highly sophisticated Large Language Model (LLM). This model continues its work in developing cutting-edge ai ...
Understanding Language Model Distillation – MarkTechPost
Knowledge distillation (KD) has emerged as a key technique in the field of artificial intelligence, especially in the context of ...
Direct alignment of large-scale language models by distillation of contrastive and self-rewarding cues
Aligning large language models (LLMs) to human expectations without human-annotated preference data is a major problem. In this paper, we ...
Arcee AI released DistillKit: an open-source, easy-to-use tool that transforms model distillation to create efficient, high-performance small language models
Arcee ai has announced the launch of Distillation kit, an innovative open source tool designed to revolutionize the creation and ...
Use Llama 3.1 405B for synthetic data generation and distillation to fine-tune smaller models
Today, we are excited to announce the availability of the Llama 3.1 405B model on amazon SageMaker JumpStart, and amazon ...
Precise knowledge distillation through top N reranking
We propose to use n-best reranking to improve sequence-level knowledge distillation (Kim and Rush, 2016), where we extract pseudo-labels for ...
What is data set distillation learning? A complete overview
Dataset distillation is an innovative approach that addresses the challenges posed by the increasing size of data sets in machine ...
Merge Vision Foundation models using multitasking distillation
As the repository of publicly available pretrained vision core models (VFMs) such as CLIP, DINOv2, and SAM grows, users face ...
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