The intensifying limelight on Generative Artificial Intelligence (Gen AI), which started with the launch of ChatGPT towards the end of 2022, is not due to a recent breakthrough overnight. It’s the accumulation of hundreds of years of algorithm development, hardware advancement, and data proliferation. You may have heard other AI ‘milestones’ in the past - DeepBlue, IMB Waston, and AlphaGo, to name a few. The difference is that it is expected to stay, mature and disrupt this time.
Large Language Models (LLMs)
- OpenAI GPT Models
- Google Gemini
- Google PaLM
- Mistral
- Anthropic
- Cohere
- Inflection
- Llama
- Nemotron-4 340b
- Qwen
Notable Tools, Products & Services
When it comes to Generative AI models, size matters; there is a linear relationship between the performance of these large general-purpose brains and their sizes. Companies like OpenAI then fine-turn their general-purpose models, package specific capacities into user-friendly products like ChatGPT and DALL-E 2, and then ship to the general public.
Users can build their applications on top of these large models for tasks specific to their needs, such as analysing customer sentiments, generating charts or writing code in a particular coding style.
The application of Generative AI can be either incremental, such as assisting creative work or improving personal recommendations, or disruptive, for example, replacing contractor newsletter copywriters.
List of notable Gen AI tools, products and services:
- ChatGPT
- Google Vector AI Search
- Google Agentspace
- Google Gen AI Tools & Services
- Hugging Face
- Magentic-one
Small Language Models (SLMs)
Expert Models
Thoughts on AI
References
- Akosner (2022). Generative AI: A Creative New World. [online] Sequoia Capital US/Europe. Available at: https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/.