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When we deliver a model we make sure we don't reach X seconds of latency in our API. Before even going into performance of LLMs for classification, I can tell you that with the current available tech they are just infeasible.
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LinuxSpinach
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5h ago
^ this. And especially classification as a task, because businesses don’t want to pay llm buck... See more
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LinuxSpinach
•
5h ago
^ this. And especially classification as a task, because businesses don’t want to pay llm buck... See more
r/MachineLearning - Reddit
Why is Discord such a good GTM for AI applications?
Text interface. Most users are just generating images, videos, and audio in these Discord servers. Prompts are easily expressible in simple text commands. It’s why we’ve seen image generation strategies like Midjourney (all-in-one) flourish in Discord while more raw diffusion models haven’t grown a... See more
Text interface. Most users are just generating images, videos, and audio in these Discord servers. Prompts are easily expressible in simple text commands. It’s why we’ve seen image generation strategies like Midjourney (all-in-one) flourish in Discord while more raw diffusion models haven’t grown a... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
LLMs are known to return the most probable answers within the context, which can sometimes yield fabricated information, termed hallucinations. This is a feature as well as a bug since it highlights their creative potential.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
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