The Generative AI age, with the introduction of Large Language Models, is a new era of technological revolution. LLMs, which have been trained on vast volumes of text, are capable of interpreting and producing human language, changing the worlds of content generation, translation, and customer s...
Bigger is better?大力出奇迹? 大型语言模型(LLMs)是在包含巨大数据量的大规模数据集上训练的。中国工程院院士王恩东表示:“人工智能如何发展出像人类具备逻辑、意识和推理的认知能力,是人工智能研究一直探索的方向。目前来看,通过大规模数据训练超大参数量的巨量模型,被认为是非常有希望实现通用人工智能的一个重要方向。
they’re less good at explaining how they came to a given conclusion. And many LLMs are trained with books, newspaper articles, and even Wikipedia pages, leading to concerns about copyright infringement. When not rigorously managed, LLMs may present security challenges by, for example, using se...
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models. This fr...
MNN-LLMis a large language model runtime solution developed based on the MNN engine. The mission of this project is to deploy LLM models locally on everyone's platforms(Mobile Phone/PC/IOT). It supports popular large language models such as Qianwen, Baichuan, Zhipu, LLAMA, and others.MNN-...
This technology is made possible by large language models (LLms) using NLP, along with other AI elements likemachine learninganddeep learning. Synthetic data and its many uses Synthetically generated text is often used with NLP models. Want to learn more about what synthetic data is, why it’...
The prominent large language models (LLMs) of today differ from past language models not only in size, but also in the fact that they are trained on a combination of natural language and formal language (code). As a medium between humans and computers, code translates high-level goals into...
Programming and Code Generation: Assisting developers by generating code snippets, debugging existing code, or providing programming recommendations. Data Analysis Reports: Summarizing data findings and generating reports from structured data inputs. Virtual Assistants: Powering personal assistant apps that mana...
大型语言模型(LLMs)是在包含巨大数据量的大规模数据集上训练的。中国工程院院士王恩东表示:“人工智能如何发展出像人类具备逻辑、意识和推理的认知能力,是人工智能研究一直探索的方向。目前来看,通过大规模数据训练超大参数量的巨量模型,被认为是非常有希望实现通用人工智能的一个重要方向。”随着巨量模型的兴起,巨量化已...
Hemanth Asirvatham is a member of the Economic Research team at OpenAI, primarily involved in using LLMs as economic research tools and exploring the intersections of AI with labor, quality of life, and tech adoption. He recently graduated from Harvard University with a degree in Economics. +...