The AI chatbot ChatGPT from Open AI has triggered the hype surrounding generative artificial intelligence and dominates much of the media coverage. However, in addition to the AI models from Open AI, there are other chatbots that deserve attention. And unlike ChatGPT, these are also available for local use on the PC and can even be used free of charge for an unlimited period of time. We'll show you four local chatbots that also run on older hardware. You can talk to them or create texts with them. The chatbots presented here generally consist of two parts, a front end and an AI model, the large language model.

For AI to reach its potential and for society to benefit from it, AI needs to be decentralised, i.e., different stakeholders in the AI community should have equal access to all resources like datasets, compute power and the source codes for different AI models. But that is not the case today. Today, most of the breakthroughs in the field of AI come from big organisations. AI text-to-image generators such as DALL-E2 and Imagen to Large Language Models (LLM) such as GPT-3, have all come from large organisations. However, none of these AI models are open-sourced.

The current boom in artificial intelligence can be traced back to 2012 and a breakthrough during a competition built around ImageNet, a set of 14 million labeled images. In the competition, a method called deep learning, which involves feeding examples to a giant simulated neural network, proved dramatically better at identifying objects in images than other approaches. That kick-started interest in using AI to solve different problems. But research revealed this week shows that ImageNet and nine other key AI data sets contain many errors. Researchers at MIT compared how an AI algorithm trained on the data interprets an image with the label that was applied to it.

Semiconductor industry startups are usually founded by hardware engineers who develop a silicon architecture and then figure out how to map software for that specific hardware. Here is a tale of a chip startup founded in the age of artificial intelligence (AI) that has a software DNA. Groq was founded in 2016 by a group of software engineers who wanted to solve AI problems from the software side. When they approached the issue without any preconceptions of what an AI architecture may need to look like, they were able to create an architecture that can be mapped to different AI models. The company is focused on the inference market for data centers and autonomous vehicles, and its first product is a PCIe plug-in card for which Groq designed the ASIC and AI accelerator and developed the software stack.