On-line training of migrant workers, multi-skilled masters become "hard core" network anchors

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  Cut your hair, make small noodles and drive a forklift … … During the epidemic, these "hard-core" skills training appeared in live classes and were welcomed by many migrant workers. Online skill teaching is flying over the wall of time and space, so that more workers can learn at any time and anywhere.

  "In my impression, webcasting is a stage for handsome guys and beautiful women to show off their skills. I never thought that today, I actually watch live broadcasts to learn skills! " Yang Ping, from a remote mountain village in Hechuan District, Chongqing, has been working as a massage technician in the front line since she went to work in the city at the age of 16 and now she has become a partner in the health center. Watching the live broadcast of the master of skills at home has greatly increased her skills. "The skills I learned in two or three months are almost the sum of my years!" Yang Ping told the reporter of Workers Daily happily.

  The reporter learned that during the epidemic, the Chongqing Municipal Bureau of Human Resources and Social Security issued a notice to do a good job in online training for vocational skills improvement, developed online classrooms and online training courses, and guided more than 100,000 urban and rural workers to participate in online training. Many skill masters became network anchors for online skills teaching. Up to now, 72,000 workers have received government subsidized and public welfare online training, and live training has made the skills of urban dreamers soar.

  It takes ingenuity to bury one’s head in research and teach one’s art.

  He Xianze believes that it is necessary to be ingenious to bury one’s head in art research and raise one’s head to teach art, from a mountain village hairdresser who travels from village to village to an expert enjoying special allowance from the State Council. After the outbreak, he not only advocated that hairdressers give full play to their skills and specialties, but also volunteered to cut hair for the frontline staff against the epidemic, and even became a "network anchor" to teach everyone to cut hair.

  How to make students understand, listen and listen to their own technical methods? He Xianze has made painstaking efforts. In order to give a good lesson, he has to prepare lesson plans several days in advance, and sometimes it takes hours to repeatedly search for information and compare experiences for an example.

  On March 6th, He Xianze and his apprentice Nie Feng conducted their first live broadcast in Aauto Quicker, and soon they rushed to the live broadcast hot list, attracting nearly 10 million people from all over the country to watch. He Xianze is used to being persuasive and speaking slowly from the simple to the deep. His lectures are also rich and interesting, which can not only attract students to smile, but also enlighten them.

  Pan Lian, dressed in white clothes and trousers, wearing a hat and mask, holds red pepper in her left hand and a mobile phone in her right hand. For more than 200 apprentices in the first five classes of the camera, she tells the story of the seasoning "soul" of Chongqing noodles — — How to choose peppers? The winner of the National May 1st Labor Medal, who grew up from an apprentice to a chef, has done nearly 10 live training sessions in recent days, and 3,000 to 4,000 people watched each session online.

  "To make a bowl of noodles with unique taste, spicy and refreshing, delicious and enjoyable, the core is to choose good peppers, then match different spices and control the oil temperature. The fried oil pepper is fragrant and spicy. " While explaining, Pan Lian pointed her mobile phone at peppers, peppers and noodles, moving left and right to get a "close-up".

  Pan Lian said that for online training, teachers must prepare enough lessons, including familiarity with equipment. In addition, it is necessary to have a professional live broadcast platform, which can really provide one-stop teaching services of learning, practice, training and testing, so that live broadcast training will take another step.

  In the collision between teaching and learning, they complement each other.

  Wang Bing, a 38-year-old from Fuling Mountain Township, Chongqing, has only a junior high school diploma. With persistent research, he has changed from an ordinary forklift worker to a full-time equipment maintenance staff of Gree Electric (Chongqing) Co., Ltd., and has won more than 20 honors in the national forklift vocational skills competition, and won the honor of Chongqing Bayu craftsman and "Top Ten Migrant Workers". On April 18th, he gave a live training entitled "Theoretical Training on Safe Operation of Truck Drivers" to more than 50 students through corporate micro-signals.

  Wang Bing admits that his theoretical level is limited, and it is a difficult problem to talk deeply about Toya. Sometimes, the interaction of the students in the group will bring him great inspiration. "Every time you give a class, you can bring yourself a lot of gains." Wang Bing said.

  Xiao Gao, a student attending the lecture, told the reporter that he was a newly recruited migrant worker from the Three Gorges reservoir area. He had seen Wang Bing stack 10 cups into the shape of a champagne tower with a forklift, then open the bottle with a fork and pour champagne into the cups without spilling a drop. "Mr. Wang is modest and simple, often discusses with everyone, and is willing to accept the suggestions made by the students. We all like and admire him very much." Xiao Gao said.

  On the afternoon of April 19th, in the Beauty Eye Health Center, the reporter saw several technicians broadcasting live on their mobile phones, watching the training class of "Moxibustion King Wang Ning" and interacting with teachers on WeChat group.

  Manager Zu Chunqiu mentioned that once, a daughter took her mother to the store for physical therapy, and the whole back of the old man bulged out, which was very painful. Xiaozu was diagnosed and found that the old man’s back was like the "hard plate cold" that the live broadcast teacher often said. After the WeChat group repeatedly communicated with the teacher, the innovative moxibustion method was used. One moxibustion point in the breech position, one moxibustion point in the middle, and moxibustion for two times, only three times, the whole back of the old man was flat and did not hurt.

  "Through live training, we quickly learned many new methods and skills, and constantly improved them in actual operation, and fed back the results to the teachers, achieving a benign interaction!" Zu Chunqiu said.

  Everyone can learn, everywhere, all the time.

  Based on the vigorous development of the whole food live broadcast, Chongqing has given birth to the first institution specialized in incubating, eating and broadcasting in China. Zhang Xiaojiang, the head of the organization, kept up with the rhythm of live broadcast. By selling Chongqing delicacies, he made millions of dollars, and trained more than 50 food anchors to become professional food and broadcast trainers.

  Taobao data shows that in the live food channel, one out of every 10 live food rooms comes from Chongqing. Especially since February this year, Chongqing catering industry has concentrated on attacking online, from street snacks to local goods in the mountains, driving the growth rate of live broadcast, ranking first in the country.

  "The birth of the new job of eating and broadcasting trainer in Chongqing reflects the upgrading of Chongqing’s Internet economy to ‘ Live +’ The 2.0 stage represented by. " Hongbing Shen, a professor at chongqing technology and business university University of Economics, analyzed.

  In the interview, the reporter learned that online training in Chongqing is conducted by means of online live broadcast, video rebroadcasting and real-time Q&A. During the training process, functions such as course playback, teachers’ online Q&A and learning progress inquiry can be realized. At present, online skill teaching is flying over the campus wall, facing the whole society, and the "sharing" effect of internet education has been highlighted.

  Zhang Dexiang, director of the Rural Labor Service Development and Management Office of Chongqing Human Resources and Social Security Bureau, said that the online vocational skills promotion training vigorously promoted in Chongqing aims to give full play to the important role of vocational skills training in stabilizing employment and promoting entrepreneurship. "Migrant workers can turn on their mobile phones anytime and anywhere to watch video learning online, and they can also log in to online colleges to form an environment where everyone can learn, learn everywhere and learn from time to time." Zhang Dexiang said.

Du Feng lost the trump card! Guangdong Hongyuan Core announced its departure from the team, and Zhu Fangyu failed to retain people. Zhao Rui regretted it.

On August 3rd, Beijing time, China Men’s Basketball Team is preparing for the Men’s Basketball World Cup in Europe, while Guangdong Hongyuan is preparing for the new season’s CBA League. For each CBA team, entering August is actually a very tense month, because the personnel adjustment and registration of each team will enter the final acceleration stage, and each team will be finalized before the end of this month. Who will leave and who will join each team in the summer will finally surface and settle down this month.

August of CBA is destined to be a month full of suspense. Each team will complete the arms race before the start of the new season. Everyone will make every effort to strengthen the lineup of the new season, strive to adjust the team’s lineup to the most ideal state, and strive to make a good result in the new season. Guangdong Hongyuan, as the team that won the championship the most times in CBA history, failed to reach the semi-finals last season, which can’t satisfy the fans. If the team’s performance can’t improve any more in the new season, Du Feng will also face the risk of leaving school.

Zhu Fangyu, as the general manager, naturally wants to actively operate the team in the transfer market. Although Chen Guohao, who has been coveted for a long time, failed to win, Zhu Fangyu will also try to leave several core players who want to leave the team. Zhao Rui is the first to bear the brunt, and the renewal of the contract must be completed. This is the core cornerstone of Guangdong Hongyuan. Once these core players leave in the new season, the heritage, team spirit and temperament of Guangdong Hongyuan will decline a lot, and China women’s football team will be put on the agenda.

Zhao Rui is currently preparing for the World Cup with the China Men’s Basketball Team. It is expected that Zhao Rui’s contract renewal will need to be finalized with Guangdong Hongyuan after the World Cup. Generally speaking, players of the national team will have a specific extension period for contract renewal, which can give them a relaxed time to negotiate contract renewal with the club, including Zhao Jiwei of the Liaoning Men’s Basketball Team. These players expect that the Basketball Association and CBA Company will specially open an extension window to give them time to negotiate with the club in the later period, but there is little suspense for them to stay with the top salary.

However, recently, a core general of Guangdong Hongyuan confirmed to leave the team, which has brought great losses to Guangdong Hongyuan’s back line. This person is Zeng Maozhou from the back line. In the new season, Zeng Maozhou confirmed to leave the team and return to Tsinghua University to complete his studies. Last season, Zeng Maozhou’s performance in Guangdong Hongyuan was remarkable, and he had a stable output in a limited playing time. His departure will definitely make Guangdong Hongyuan’s back line lack of a qualified substitute, so that Zhao Rui Hu Mingxuan and Jeff can wait.

Former Manchester United assistant: The team should buy De Jong, but he seems to be very happy in Barcelona, so he didn’t leave.

Live on May 20 th, former Manchester United assistant Rene Murenstin recently said in a dialogue with the club’s official Nordic fan club that the Red Devils should sign De Jong.

Mullenstein, who served as Ferguson’s assistant, said: "Manchester United need a very good midfielder. I know they have casemiro, Eriksson and Bruno Fernandez. They are all experienced and powerful, but these three people have a little problem because their mentality is more inclined to attack."

"I will do my best to sign De Jong 100%. He is energetic and has good physical fitness. He can play a very, very good tactical role in the team organization stage."

"To be honest, I think if De Jong was unhappy in Barcelona, he would have joined Manchester United. But he is obviously happy to play for Barcelona, because otherwise he came to Manchester United last summer. There are always ways to solve financial problems such as Barcelona still owes him salary, so this can’t be the reason why the deal finally collapsed, but I can understand why Tenghahe wants to pursue this player. "

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Technical password of generated image AI

In the past few years, artificial intelligence (AI) has made great progress, and AI’s new products include AI image generator. This is a tool that can convert input statements into images. There are many AI tools for text-to-image conversion, but the most prominent ones are DALL-E 2, Stable Diffusion and Midjourney.

DALL-E 2 is developed by OpenAI and the project of chatgpt is complementary. It generates images through a paragraph of text description. Its GPT-3 converter model trained with more than 10 billion parameters can interpret natural language input and generate corresponding images.

DALL-E 2 mainly consists of two parts-converting user input into a representation of an image (called Prior), and then converting this representation into an actual photo (called Decoder).

The text and images used in it are embedded in another network called CLIP (Contrast Language-Image Pre-training), which is also developed by OpenAI. CLIP is a neural network that returns the best title for the input image. What it does is the opposite of what DALL-E 2 does-it converts images into text, while DALL-E 2 converts text into images. The purpose of introducing CLIP is to learn the connection between visual and text representation of objects.

DALL-E 2′ s job is to train two models. The first one is Prior, which accepts text labels and creates CLIP image embedding. The second is Decoder, which accepts CLIP image embedding and generates images. After the model training is completed, the reasoning process is as follows:

  • The input text is converted into CLIP text embedding using neural network.

  • Use Principal Component Analysis to reduce the dimension of text embedding.

  • Create an image embedding using text embedding.

  • After entering the Decoder step, the diffusion model is used to embed the image into an image.

  • The image is enlarged from 64×64 to 256×256, and finally enlarged to 1024×1024 by using convolutional neural network.

Stable Diffusion is a text-to-image model, which uses CLIP ViT-L/14 text encoder and can adjust the model through text prompts. It separates the imaging process into a "diffusion" process at runtime-starting from the noisy situation, gradually improving the image until there is no noise at all, and gradually approaching the provided text description.

Stable Diffusion is based on Latent Diffusion Model(LDM), which is a top-notch text-to-image synthesis technology. Before understanding the working principle of LDM, let’s look at what is diffusion model and why we need LDM.

Diffusion Models, DM) is a generation model based on Transformer, which samples a piece of data (such as an image) and gradually increases the noise over time until the data cannot be recognized. This model tries to return the image to its original form, and in the process, it learns how to generate pictures or other data.

The problem of DM is that powerful DM often consumes a lot of GPU resources, and the cost of reasoning is quite high due to Sequential Evaluations. In order to train DM on limited computing resources without affecting its quality and flexibility, Stable Diffusion applies DM to powerful Pre-trained Autoencoders.

On this premise, the diffusion model is trained, which makes it possible to achieve an optimal balance between reducing complexity and preserving data details, and significantly improves the visual reality. The cross attention layer is introduced into the model structure, which makes the diffusion model a powerful and flexible generator and realizes the high-resolution image generation based on convolution.

Midjourney is also a tool driven by artificial intelligence, which can generate images according to the user’s prompts. MidJourney is good at adapting to the actual artistic style and creating images with any combination of effects that users want. It is good at environmental effects, especially fantasy and science fiction scenes, which look like the artistic effects of games.

DALL-E 2 uses millions of image data for training, and its output results are more mature, which is very suitable for enterprises to use. When there are more than two characters, the image generated by DALL-E 2 is much better than that generated by Midjourney or Stable Diffusion.

Midjourney is a tool famous for its artistic style. Midjourney uses its Discord robot to send and receive requests for AI servers, and almost everything happens on Discord. The resulting image rarely looks like a photo, it seems to be more like a painting.

Stable Diffusion is an open source model that everyone can use. It has a good understanding of contemporary art images and can produce works of art full of details. However, it needs to explain the complex prompt. Stable Diffusion is more suitable for generating complex and creative illustrations. However, there are some shortcomings in creating general images.