I agree. But wouldn’t this just expand the scope? You will want to solve larger problems and will need larger prompts For example: imagine that you teach LLM new profession, worth of 5 years studying, full of very narrow specializations.
LLMS
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MLOpsWorld Summit Insights and BERT Model Performance Talk
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The @MLOpsWorld Generative AI Summit was great! Thanks all for a super engaging event Lots of interesting conversations, and even more I didn't get to say hi to. Slides from my talk https://
speakerdeck.com/honnibal/how-m
any-labelled-examples-do-you-need-for-a-bert-sized-model-to-beat-gpt-4-on-predictive-tasks
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Knowledge Gap Between AI Experts and the General Public
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I keep thinking about the knowledge gap between AI experts — who are deep in the weeds of LLMs — and everyone else.
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Unequal Access to Updated GPT-4 Models Raises Concerns
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What's going on?!? @simonw seems to have access to an up-to-date GPT-4, but I don't…
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Beyond Auto-Regressive LLMs: Technical Solutions to Current Limitations
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– I haven't engaged with you in years.
– I've always been quite vocal about the limitations of Auto-Regressive LLMs.
– I'm working on ways to lift these limitations, not merely complaining about them.
– Unlike you, I'm not claiming that AR-LLMs will harm society. -
7 Tactics to Reduce Hallucinations in Large Language Models
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In this one: 7 tactics to reduce hallucinations in large language models (LLMs) in this video. Tactics include adjusting inference parameters, improving prompt engineering, and other techniques to bolster LLM's reliability and accuracy. Let's foster trustworthy AI today!
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Large Language Models Course for AI Beginners and Professionals
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Want to understand Large Language Models? This course is designed for all, from AI beginners to seasoned professionals. Basic Python knowledge is enough. Make AI practicable and accessible today!
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Managing Hallucinations in LLMs for Production
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Morning, AI enthusiasts! Dive into our video series, "Training & Fine-Tuning LLMs for Production". Today's focus is on managing hallucinations in LLMs, offering useful tips.
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Dynamic Memory LLMs Will Obsolete Prompt Engineering
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Now we have LLMs with a fixed-size context. Imagine LLMs with dynamic, expandable long-term memory. You'll align them to yourself through iterative conversations. This will render prompt engineering obsolete. The LLM will anticipate your needs. The challenge will be: if the