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#thecompaniesapi big LLM results from our pipeline now gets saved as json files to prepare datasets for our own models ; optimizing the queue does not seem to be a finite task
#thecompaniesapi early LLM results are bonkers but the qop/s are relatively slow; setting up results storage to train smaller models; one step at a time
#thecompaniesapi run my phi3-128k flow using llama3.1 and the results are mind blowing, it's insane how good llama is at conserving context and original purpose even when supplied with thousands of tokens; also shipped multiple hotfixes in robot UI; about to merge a month of work and then hop on fine tuning
talking about LLMs with @yael #thecompaniesapi
read up on llm embedding to start building something new with ollama
talk about LLM finetuning and Alpaca and ChatGPT being just instruct-text model #life fxtwitter.com/levelsio/status…
write blog about LLMs generating dynamic user interfaces so that @adamwathan goes into AI #life x.com/levelsio/status/1735290…
Read up on LLMs & Prompt techniques #dev
reading paper about LLM deployments #aiplay
reading llm self-play paper #aiplay
Research Mistral LLM #sparkbase
played with symbex and llm to generate code. super cool and immediately useful
meeting about LLMs
more fun with LLAMA2 and figuring out how to better control/predict stable output
Make my LLM chatbot quote its sources ✍️ It's so cool to see it work! #foxquery