it’s in gemini, just create it in ai studio. oh, that’s for your personal google one account. for workspace you need gemini business. no, not gemini advanced, that’s ai pro now. unless you need ai ultra. oh agents? you do that in spark actually. no, not gemini api managed agents, that’s different. for coding use jules. unless you mean the agentic ide, that’s antigravity. no, that’s the old antigravity, download the new one. actually gemini cli is being deprecated, use antigravity cli. no the flash model is smarter than the pro model. unless you need pro. if it’s video, use flow. no, flow uses veo. no, nano banana is images. actually that’s in gemini now. unless you’re in search, then it’s ai mode. no, research is notebooklm. anyway it’s all very simple.
the year was 2024. you wanted to build an ai chatbot. you installed chroma db locally. you couldn’t figure out how to deploy it so you switched to pgvector. you read a paper on RAG. you spent $4.82 by calling an embedding api after realizing you couldn’t figure out how to get BAAI/bge-large-en-v1.5 working with your broken cuda packages. nvidia stock was overpriced at $90 you’re sure of it. you converted all your documents to embedding. you googled cosine similarity. you called the claude 3 sonnet model api and ran out of context after 8k tokens. you’re deep into reading langchain docs and confused. maybe something called llama index might work. it took four days to prototype but at least github copilot has killer autocomplete. your responses are shit but fortunately openai has a fine tuning api that will help. surely in a few weeks you’ll have something to show your boss, and the answers will be hallucination free. life is good.
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