1
point
aethelyon
Joined 13 karma
Co-Founder <a href="https://klu.ai">https://klu.ai</a>
- aethelyon parent"some" or a single file?
- this is fake news, the xml tags break the output when the model output is the system prompt with the example tags, see screenshot: https://x.com/0xSMW/status/1944624089597137214
same as what happens with claude
- 100% agree, I think the 26% will greatly increase over time... or the ones that don't will decline as a business over time.
the 13.4% is likely leaders in ML for some specific use case like fraud or recommendations. it would be great to have access to raw data with anonymized demographics.
we are very, very early.
- We benchmarked retrieval, GPT-4 turbo vs GPT-4, and fine-tuned several models: https://klu.ai/blog/openai-devday-2023
You can use the result of one here https://huberman.klu.ai/
- We benchmarked retrieval, GPT-4 turbo vs GPT-4, and fine-tuned several models. You can use the result of one here https://huberman.klu.ai/
- We benchmarked retrieval, GPT-4 turbo vs GPT-4, and fine-tuned several models. You can use the result of one here https://huberman.klu.ai/
- check out https://klu.ai – we built it for this reason – sign up, book some time, and I'll help you however I can
- 3 points
- we built https://klu.ai/ for this
======
outside of us, here's what I see happening
80% of folks aren't building in prod
if you pull apart the 20% that are building, I've seen this from largest to smallest population:
1. most people are not monitoring, followed by 2. home-grown solutions logged into existing observe/analytics platforms, followed by 3. LLMOps tooling like Klu
the 2 cents on the unfortunate truth: I think that many of the AI bolt-on features are living the classic feature lifecycle in that they are launched, no one is monitoring them for improvement, and the feature retention sucks so there's no top-down push to prioritize. the people measuring and improving are exceptional builders regardless of LLMs/RAG.
- 3 points