Awakening Vector’s blog has updated many excellent articles through this memorable year, 2020. Today, let’s review the five most popular articles in Awakening Vector’s blog. They are:
The author’s intention is to guide readers on how to train AI models efficiently without using code. The author uses “pumpkin” as an example to introduce the errors and biases that occur when the model recognizes “pumpkin”. Therefore, the author proposes solutions to solve these problems and is divided into three steps: 1. Import data 2. Configure interface 3. Iterate: label-train-evaluate. It also describes in detail how the first and second iterations of the Automatic Model Builder speed up the data training process. Finally, this article also explains how the Automatic Model Builder can serve the business needs of customers.
The core of this article is to introduce the key points of building AI products. As a successful entrepreneur who founded Awakening Vector, the author Peter Yang provides readers with innovative AI solutions from zero to one. The answer is divided into six steps:
- defining the product
- formulating success indicators for the product
- formulating a data strategy
- designing a product model (ML)
- establishing a Minimal Viable Product
- establishing a growth loop
The author uses his own entrepreneurial experience as sugesstions for the start-up AI companies and readers who want to enter the AI industry.
This article introduces the ten major trends in the artificial intelligence industry and artificial intelligence development from a future perspective, including the impact of artificial intelligence in business, daily life, and other aspects. Instead of a text introduction, we have created a simple and easy-to-understand leaflet. The author analyzes different aspects of artificial intelligence and gives many examples from life. Through the attractive headings and simple pictures, readers can have a clear and profound understanding of each trend.
This article mainly explains the choice of data annotation business model. Firstly, the author mentioned the defination of data labeling and introduced the pros and cons between two data processing solutions: in-House data labeling or cooperation with an outsourcing data labeling company. It also demonstrates what kind of projects that is suitable for outsourcing data labeling services. With extensive experience in data annotation industry, the author provides an great insight for readers who consider choosing the outsourcing data annotation company.
By combining hot news: Covid-19 and the application of artificial intelligence in fighting coronavirus, the influence of artificial intelligence is introduced from six aspects. In the element of coronavirus, AI has played an important role. By introducing different AI projects and examples in our lives, this blog demonstrates the convenience that artificial intelligence provides us. More importantly, in terms of saving materials and human resources, artificial intelligence has a significant contribution all around the world. This article is mainly aimed at the readers who want to get in touch with the recent AI industry news and keep abreast of the times. This blog shows the considerable future development prospects of artificial intelligence and the charm of high technology.