Professor Andrew Ng recently shared his views on Agents at the Sequoia AI Summit. Although some media outlets have reported on this, they sacrificed accuracy for the sake of timeliness by using machine translation, which increased unnecessary reading barriers. The Agent Universe has reorganized and translated a version that retains Professor Ng’s original intent while … Read more
Machine Heart reports Machine Heart Editorial Team Is the potential of agents underestimated? AI agents were a hot topic last year, but many may not have a clear concept of how much potential AI agents really have. Recently, Stanford University professor Andrew Ng mentioned in a speech that they found workflows built on GPT-3.5 performed … Read more
Follow the official account “Carl’s AI Watts” and set it as “Starred” to get the latest AIGC news Author: Carl AIGC Open Source Free Tutorial 2.0 (supports ChatGPT, Midjourney, Stable Diffusion, Runway, AI Agents, Digital Humans, AI Voice & Music): https://www.learnprompt.pro In the first three articles, we discussed the principles and components of Agents as … Read more
Solving complex artificial intelligence tasks is a key step towards achieving Artificial General Intelligence (AGI). Despite the abundance of AI models targeting different domains and modalities, they struggle to handle complex AI tasks. Given the remarkable capabilities of large language models (LLMs) in language understanding, generation, interaction, and reasoning, the authors advocate that LLMs can … Read more
Since the advent of ChatGPT, various GPTs have emerged. Recently, Microsoft launched HuggingGPT and open-sourced the corresponding project on GitHub – Jarvis. Just these two points are enough to pique the public’s interest. Today’s article will simply interpret HuggingGPT, specifically the paper – HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face[1]. … Read more
In recent months, the successive rise of ChatGPT and GPT-4 has showcased the extraordinary capabilities of large language models (LLM) in language understanding, generation, interaction, and reasoning, garnering significant attention from both academia and industry. This has highlighted the potential of LLMs in constructing general artificial intelligence (AGI) systems. To achieve AGI, LLMs face numerous … Read more
The Ultimate Combination: HuggingFace + ChatGPT — HuggingGPT is here! Source | Quantum Bit Just give it an AI task, such as “What animals are in the picture below, and how many of each are there?” It can automatically analyze which AI models are needed, and then directly call the corresponding models from HuggingFace to … Read more
PanChuang AI Sharing Source | GPT Reprinted from | Machine Heart 【Introduction】ChatGPT has become the manager of hundreds of models this time. In recent months, the successive popularity of ChatGPT and GPT-4 has showcased the extraordinary capabilities of large language models (LLMs) in language understanding, generation, interaction, and reasoning, which has garnered significant attention from … Read more
Reported by New Intelligence Editor: LRS [New Intelligence Overview] Allow language models to solve problems automatically, letting users take a backseat. The wave of AI driven by ChatGPT has ushered us into the era of artificial intelligence, where language models have become indispensable tools in daily life. However, current language models can only respond to … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the advancement of beginners. … Read more