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. And while the main way of interacting with LLMs is still via APIs and rudimentary Playgrounds, I expect that an ecosystem of tooling that helps accelerate their wide adoption will be a growing market in the near future.

The TL;DR

  • 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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