GPT-o model
Posted: Thu Dec 26, 2024 4:19 am
This means that AI product managers will most likely no longer have to design complex quick words in the future. The position of “quick word engineer” that has just emerged for more than a year is in turmoil, and AI product managers will also be greatly affected by this. In the past, solving complex problems required people to write very complex queries,but o is essentially the automation of complex prompts such as COT, so that users do not have to construct complex queries themselves in the future. Machine: On the other hand, with the significant improvement of o's coding capabilities, the threshold for writing code has been lowered to a certain extent, and AI product managers have the opportunity to complete design, development and launch in one step, which greatly improves the efficiency of MVP iteration of AI products.
) Engineering Although it is still too early to say that A belgium email list will replace engineering development, the progress of large models in a short period of time is still shocking. Perhaps in the near future, English will become the most popular programming language. In the short term, it is expected that the efficiency of engineering development will be further improved with the help of tools such as o model and Cursor. ) Algorithm Although the reinforcement learning algorithm was mentioned in the InstructGPT document, it was previously viewed more from the perspective of RLHF reinforcement learning based on human feedback, and was rarely emphasized as a separate direction.
After the release of the model, the importance of reinforcement learning has greatly increased, and its application in the field of large-scale models is expected to become a new focus of the melee among domestic large-scale model companies in the coming period. . Behind the scenes: technical principles and related works . Basic knowledge . Reinforcement learning Machine learning algorithms are mainly divided into three categories: supervised learning, unsupervised learning, and assisted learning. Unsupervised learning is equivalent to learning by students, without any guidance from the teacher, and relies entirely on their own understanding that supervised learning is equivalent to learning with the help of the teacher and that learning is right and wrong; questions correct and punishment for incorrect ones.
) Engineering Although it is still too early to say that A belgium email list will replace engineering development, the progress of large models in a short period of time is still shocking. Perhaps in the near future, English will become the most popular programming language. In the short term, it is expected that the efficiency of engineering development will be further improved with the help of tools such as o model and Cursor. ) Algorithm Although the reinforcement learning algorithm was mentioned in the InstructGPT document, it was previously viewed more from the perspective of RLHF reinforcement learning based on human feedback, and was rarely emphasized as a separate direction.
After the release of the model, the importance of reinforcement learning has greatly increased, and its application in the field of large-scale models is expected to become a new focus of the melee among domestic large-scale model companies in the coming period. . Behind the scenes: technical principles and related works . Basic knowledge . Reinforcement learning Machine learning algorithms are mainly divided into three categories: supervised learning, unsupervised learning, and assisted learning. Unsupervised learning is equivalent to learning by students, without any guidance from the teacher, and relies entirely on their own understanding that supervised learning is equivalent to learning with the help of the teacher and that learning is right and wrong; questions correct and punishment for incorrect ones.