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Deploying Large Language Models: vLLM and Quantization | by Ayoola Olafenwa | Apr, 2024

Step-by-step guide on how to accelerate large language models source Deployment of Large Language Models (LLMs) We live in an

AI, Deployment, large language models, Llama, open-source, Syndicated

A faster, better way to prevent an AI chatbot from giving toxic responses | MIT News

A user could ask ChatGPT to write a computer program or summarize an article, and the AI chatbot would likely

AI, automated methods, large language models, red-teaming, Syndicated, toxic responses

When It Comes to Making Generative AI Food Smart, Small Language Models Are Doing the Heavy Lifting

Since ChatGPT debuted in the fall of 2022, much of the interest in generative AI has centered around large language

Chatbots, Food Tech, generative AI, large language models, Small language models, Syndicated

An Overview of the LoRA Family. LoRA, DoRA, AdaLoRA, Delta-LoRA, and… | by Dorian Drost | Mar, 2024

LoRA, DoRA, AdaLoRA, Delta-LoRA, and more variants of low-rank adaptation. LoRA comes in different shapes and varieties. Photo by Lucas

AI, Do, large language models, low-rank adaptation, Syndicated, training

Navigating Cost-Complexity: Mixture of Thought LLM Cascades Illuminate a Path to Efficient Large Language Model Deployment | by Yuval Zukerman | Mar, 2024

Photo by Joshua Sortino on Unsplash What if I told you that you could save 60% or more off of

3.5 Turbo, AI, Cascades, large language models, Mixture of Thought, Syndicated