Language played a pivotal role in the ascendancy of humans over (other) animals. It enabled thoughts and ideas to be transferred from one generation to the next thus allowing successive generations to improvise and progress. Writing gave this a boost and the internet supercharged it.
The launch of ChatGPT in late 2022, and the subsequent discussion on artificial intelligence (AI) and, to a lesser degree, machine learning (ML) engendered something inherent in humans: fear. There were apprehensions about AI becoming super intelligent and taking over the human race—with some even calling for a moratorium on AI experiments, or shutting the whole thing down entirely.
Garbage in, garbage out (GIGO) is a popular concept in computer programming. The GIGO principle applies in machine learning and artificial intelligence, too. If you feed your model rubbish (read: inaccurate or irrelevant data), it will turn out to be rubbish.
Social media networks are an essential feature of contemporary living- for individuals, professionals, and communities alike. However, these platforms also serve as a breeding ground for instances of bullying, hate speech, and false news. Many social networks increasingly rely on social media content moderation, which is the process of assessing and eliminating objectionable or illegal content, to tackle this issue.
Video Annotation And Its Different Types
Video annotation is essential to improve the performance of many AI-based models and projects. Video annotation helps in achieving correct datasets to train machines and different models. In this blog post, we have talked about what is video annotation and how different types of video annotation techniques can benefit various organizations and businesses.
Like humans, machines also need to learn, understand and analyze things to produce desirable outcomes. One of the most efficient ways to make machines learn is using text annotation services. With advancements in time and technology, machines have leveled up their ability to understand human language.
Our eyes are the windows to the outside world for us. We recognize objects and people through them, aiding in navigating the world. It helps give us an understanding of our standing with respect to our surroundings. We can then take the necessary action that brings us closer to the objective.
The Next-Gen Text Summarization Techniques
Living a conscious life and aiming for sustainable development should be our focus as human beings. Cutting down on carbon emission is a global objective for the generation. Paper plays an important role in our lives and digital medium can be a great alternative to store data and decrease paper dependency. Text Summarization is one such process that should be adopted for its numerous benefits. The article explains all about this technology and how it can change your life.
To be specific, image annotation can be defined as the procedure of adding and attaching labels to an image to provide transcription of the image and convert it into an informational visual. You can either add a single label to any image or can add multiple labels to various parts of the images as per your requirement to make your image data more informational. The labels or metadata that are attached to the images are used to identify characteristics of the data which you want the machines to analyze and understand.
Do you have any plans to integrate machine learning into your current organizational structure? Or are you just wanting to build up an intelligent and self-contained system to serve a certain user base? Whatever goal you have for machine learning implementation, text data collection or speech data collection you won’t be able to achieve it until you have appropriate data to work with.