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#thecompaniesapi port back my ai wrapper improvements on our existing llama stack and prepare fine tuning for phi3
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#thecompaniesapi port back my ai wrapper improvements on our existing llama stack and prepare fine tuning for phi3
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#thecompaniesapi working on llama3.1 with large context window, trying to improve some parts of our AI flow before merging it; now properly respects industries & naics constraints for current sample
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#thecompaniesapi few iterations on our ai flows, trying phi3
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check out Llama 3.1 #life
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more fun with LLAMA2 and figuring out how to better control/predict stable output
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#thecompaniesapi continue r&d on phi3, trying idea refinement from structured text content, then pipe to inference flow, unknown territories 🤣
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worked on llama2 experiments mostly to see how easy it is to break it and how good the overall quality is.
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#thecompaniesapi tests are over; phi3 is what we need; dropping lots of python code in favor of a single inference process to govern them all
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#thecompaniesapi start working on fine tuning as phi3 cannot stop hallucinating even though its a lot faster, heard it would possibly change everything for our usecase so its worth trying
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✏️ wrote about running Llama 3.1 locally through Ollama on my Mac Studio. micro.webology.dev/2024/07/24…
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switch #therapistai to Llama 3.1
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realize #therapistai with Llama3-70B actually understands WTF is going on now
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#thecompaniesapi continue on phi3; hell of a refactor
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#thecompaniesapi lots of fixes on the queue ; trying to get the llm stable ; refactor of sources
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🤖 got llama-cpp running locally 🐍
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#thecompaniesapi mind blown by early LLM pipeline results ; being a noob in such subject is so fascinating
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more AI story writing. Also, getting a better handle on what various versions of Llama2 can handle.
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🤖 lots of AI research last night including writing a functional story bot to wrap my head around how to apply step-by-step logic and get something meaningful out of llama2 #research
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trying to stream response from llama #autorepurposeai
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