Natural language processing

AI Trainee Program 2023
AI Trainee Program 2023

Are you passionate about AI and looking to kickstart your career in this exciting field? Join our trainee program, designed to give aspiring talents like you a head start in the world of: 🔹 2D/3D Computer Vision 🔹 Deep Learning 🔹 Natural Language Processing 🔹 Generative AI, and beyond. 📝 Application Deadline: 27 August 2023 🔗 Apply now:  https://bit.

The Open-Source Quest: Exploring Free Alternatives to GPT-3
The Open-Source Quest: Exploring Free Alternatives to GPT-3

Large Language Models (LLMs) have emerged as highly successful and widely adopted AI technologies in recent times. Major players in the industry, including OpenAI, Google, Nvidia, Meta, and Microsoft, leverage these models either for their own products or offer access to them. Among the current LLMs, GPT-3 (short for Generative Pretrained Transformer) and its successor GPT-4 reign supreme in terms of popularity.

Video Game Review Summarization Using OpenAI GPT-3 Python API
Video Game Review Summarization Using OpenAI GPT-3 Python API

Normally, computers only understand their own programming languages, like Python or C++. If you want to teach them human languages, like English, Ukrainian, or Japanese, it is possible, but it takes effort. The respective branch of science is called Natural Language Processing (NLP), which combines computer science (including machine learning and deep learning) with traditional linguistics.

Natural Language Processing
Natural Language Processing

Natural language is the most natural (pun intended) way to store and share information for humans. Software solutions that can understand, analyze and even use it for communication are becoming the key to success in many industries, with the recent rise of Large Language Models (LLMs) and AI chatbots being yet another proof of this.

AI R&D Lab
AI R&D Lab

It-Jim is looking for talented individuals to join our brand-new R&D lab! Apply today to take your AI skills to the next level!

Text Prompt Engineering for Image Generation
Text Prompt Engineering for Image Generation

The development of modern neural networks has brought about a revolution in the field of image generation. One such example is the text-to-image neural network, DALL-E 2, which can generate beautiful art when supplied with good text descriptions (typically referenced as “prompts”). The quality of images generated by DALL-E 2 heavily depends on the proper structure of inputs.