Examples of LLMs are as follows: (1) Turing NLGm was released and developed by Microsoft in early 2020 with the largest amount of data to date, 17-billion parameters.21 (2) Gopher is a model with 280-billion-parameters developed by DeepMind.22 It excels in STEM disciplines, which is t...
Microsoft integrates LLMs into Azure AI and Office products for advanced text generation and data analysis Amazon leverages LLMs for personalized shopping experiences and advanced AI tools in AWS These examples highlight the transformative impact of LLMs in business operations, emphasizing the critical ...
P.S. Built in collaboration with Microsoft, our short course “How Business Thinkers Can Start Building AI Plugins With Semantic Kernel” is now available! This is taught by John Maeda, VP of Design and AI (who also co-invented the Scratch programming language!). You’ll join John in buil...
Phi-3, developed by Microsoft, uses advanced training techniques like quantization to maximize efficiency, making it ideal for deployment on a wide range of devices. Llama3, with its Mixture-of-Experts (MoE) architecture, offers specialized neural networks for different tasks, pro...
While the theory of computation has been developed over many decades, and the theory of machine learning and deep learning has been extensively studied, the theoretical foundation of LLMs is still a widely open and unexplored territor...
LC1332/Chinese-alpaca-lora: 骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ ...
Microsoft developed Orca for small language models (~10B parameters or less). It is based on self-improvement and feedback-driven methodology. Orca creates synthetic data for training small models, providing them with better reasoning capabilities and custom behaviors. ...
At Microsoft, the Experimentation Platform has worked closely with multiple teams to launch and evaluate LLM products over the past several months. We learned and developed best practices on how to design AB tests and metrics to evaluate such features accurately and holis...
* 2023/9/18: Released our [paper](https://huggingface.co/papers/2309.09530), [code](https://github.com/microsoft/LMOps), [data](https://huggingface.co/datasets/AdaptLLM/law-tasks), and [base models](https://huggingface.co/AdaptLLM/law-LLM) developed from LLaMA-1-7B. # Domain-specifi...
queries from real-world users. This is wheresynthetic adversarial dataset generationcan be valuable. To create this data, Azure AI will role play with your app using targeted adversarial prompt templates developed by Microsoft Research to generate an adversarial dataset for risk and safety evaluations...