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datatalks.club
| | www.capicua.com
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| | The LangChain framework enables building data-aware applications, working closely with LLMs to build unique systems. How to harness its power?
| | bdtechtalks.com
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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | lmsys.org
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| | Large Language Models (LLMs) are increasingly utilized for complex tasks that require multiple chained generation calls, advanced prompting techniques, co...
| | jaketae.github.io
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| As a novice who just started learning Python just three months ago, I was clueless about what virtual environments were. All I knew was that Anaconda was purportedly a good way to download and use Python, in particular because it came with many scientific packages pre-installed. I faintly remember reading somewhere that Anaconda came with conda, a package manager, but I didn't really dig much into it because I was busy learning the Python language to begin with. I wasn't interested in the complicated details-I just wanted to learn how to use this language to start building and graphing and calculating.