The Large Language Model Landscape

The number of commercial and open LLM providers has exploded in the last 2 years, and there are now many options to choose from for all types of language tasks.

Below is a graphic depicting the current Large Language Model (LLM) landscape in terms of functionality, offerings and the tooling ecosystem.

• Large Language Models (LLMs) functionality can be segmented into five areas: Knowledge Answering, Translation, Text Generation, Response Generation and Classification.

• Classification is arguably the most important to today’s enterprise needs, and text generation the most impressive and versatile.

• The commercial offerings and more general offerings are Cohere, GooseAI, OpenAI and AI21labs. GooseAI currently only focuses on generation.

• The open-source offerings are Sphere, NLLB, Blender Bot, DialoGPT, GODEL and BLOOM.

• The tooling ecosystem is still in a nascent state with many areas of opportunity.

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I’m currently the Chief Evangelist @ HumanFirst. I explore and write about all things at the intersection of AI and language; ranging from LLMs, Chatbots, Voicebots, Development Frameworks, Data-Centric latent spaces and more.

HumanFirst AI