LLMs, as we know by now, such as GPT-3.5 are AI developed through deep learning techniques, specifically within natural language processing (NLP). LLMs are designed to understand, generate and translate human language by being trained on vast textual datasets. These models analyze data to understand patterns, nuances and language intricacies. Their size is determined by the number of parameters running into billions. These equip them with the ability to process and produce human-like text. This allows them to perform tasks such as answering questions, creating contents, summarizing text, and ever writing code

Neural networks are inspired by the structure of human brains, and function mimicking human brain. There are layers of interconnected nodes or ‘neurons’ which process input data (such as images, sound and text) and generate output through these connections.

Each layer’s output becomes the following layer’s input, with the final layer producing the overall output. Neural networks learn to perform tasks by considering examples (generally without task specific programming). To illustrate, in image recognition, they learn to identify images that contain dogs by analyzing images that have been labelled as dog or no dog, and using this analysis identify dogs in new images.

A Dubai-based QX Lab has developed a hybrid AI system ASKQX which is rooted both in LLM and neural network architecture. It wants to bring AI seamlessly into the loves of the users. It supports various Indian languages (including native dialects) and several global languages such as Arabic, French and Japanese. ASKQX has gathered eight million users already.

The company has been founded by Arjun Prasad, Tathagat Prakash and Tilakraj Parmar.

It is an attempt to move in the direction of artificial general intelligence (AGI). It makes the model understand and think like humans. AGI is not bound to a single task or context. It would show self-awareness, a sense of consciousness and the ability to apply problem-solving skills across various domains. Contrasted with AI at present which excels in a specific set of tasks and relies heavily on massive data training and predefined algorithms, AGI will have decision-making capability of its own.

ASKQX is 30 per cent LLM and 70 per cent neural network architecture. Both are integrated. It can find applications in healthcare, education and legal services.