#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

Ran some local LLM tests 🤖

#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

evaluate an LLM experiment to clean up my blog #aiplay #blog2

talk about LLM finetuning and Alpaca and ChatGPT being just instruct-text model #life fxtwitter.com/levelsio/status…

try new experimental pipeline #photoai

write blog about LLMs generating dynamic user interfaces so that @adamwathan goes into AI #life x.com/levelsio/status/1735290…

learning stufffff

Read up on LLMs & Prompt techniques #dev

reading paper about LLM deployments #aiplay

reading llm self-play paper #aiplay

Research Mistral LLM #sparkbase

try DeepSeek-LLM closest open source LLM you can get to GPT4 #life

played with symbex and llm to generate code. super cool and immediately useful

more late night llm hackery

write llm openai integration

try new pipeline #photoai