For example, the researchers working hard on better text sampling techniques (i.e. https://arxiv.org/abs/2202.00666), or on better constraint techniques (i.e. like this https://arxiv.org/abs/2306.03081), or on actual negative prompting/CFG in LLMs (i.e. like this https://github.com/huggingface/transformers/issues/24536) are doing far FAR more to advance the state of AI than dozens of VC backed LLM companies operating today. They are all laboring in relative obscurity.
HN, and the NLP community have some serious blindspots with knowing how to exploit their own technology. At least someone at Andreessen Horowitz got a clue and gave some funding to Oogabooga - still waiting for Automatic1111 to get any funding.
For example, the researchers working hard on better text sampling techniques (i.e. https://arxiv.org/abs/2202.00666), or on better constraint techniques (i.e. like this https://arxiv.org/abs/2306.03081), or on actual negative prompting/CFG in LLMs (i.e. like this https://github.com/huggingface/transformers/issues/24536) are doing far FAR more to advance the state of AI than dozens of VC backed LLM companies operating today. They are all laboring in relative obscurity.
HN, and the NLP community have some serious blindspots with knowing how to exploit their own technology. At least someone at Andreessen Horowitz got a clue and gave some funding to Oogabooga - still waiting for Automatic1111 to get any funding.