How to train your LLM efficiently? Best Practices for Small Scale Deployment
Amid the daily deluge of news about new advances in large language models (LLMs), you may be wondering, "How do ...
Tag: deployment
A Deep Dive into Model Quantization for Large-Scale Deployment
Introduction In ai, two distinct challenges have surfaced: deploying large models in cloud environments, incurring formidable compute costs that impede ...
Researchers in China introduced a new compression paradigm called retrieval-based knowledge transfer (RetriKT): revolutionizing the deployment of large-scale pre-trained language models in real-world applications
Natural Language Processing (NLP) applications have shown remarkable performance using pre-trained language models (PLM), including BERT/RoBERTa. However, due to their ...
AI Optimization and Deployment with Intel’s OpenVINO Toolkit
Introduction We talk about ai almost daily due to its growing impact in replacing manual labor of humans. The creation ...
Meet MatFormer: A Universal Nested Transformer Architecture for Flexible Model Deployment Across Platforms
Transformer models find applications in various applications, from powerful multi-throttle groups to individual mobile devices. The varied inference requirements in ...
The Next Phase in Appchain Deployment
(PRESS RELEASE – Tortola, BVI, Massachusetts, September 21st, 2023) Moondance Labs, the company developing the Tanssi appchain infrastructure protocol, announced ...
a16z against the deployment of Uniswap v3 on the BNB chain
a16z, a venture capital firm, has voiced its opposition to the launch of Uniswap v3 on Binance Smart Chain (BSC). ...
