back in my day they would talk about AWS for like one minute on the Amazon earnings call now it feels like it's taking up half the earnings call
AI
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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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UN Appoints AI Governance Advisory Body Members
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Congrats to HAI Int’l Policy Fellow @MarietjeSchaake and advisory council members @vilasdhar & James Manyika for being named to the @UN Advisory Body on AI! Together with gov’t, private sector & civil society, they will help guide global governance of AI. https://
bit.ly/46IuyMQ -
Prompt Engineering Will Become Essential Skill Like Programming
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I think prompt engineering at some level will exist, just like programming does today. How big it will be is a different question. How to talk to machines will be an important skill. But it boils down to be a good communicator.
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Single-Use Apps: Code Conjured at Runtime Disappears
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Yes, I wrote a long article about this back in February. Totally agree. Single use apps. Conjure at run-time, code does it thing and the app disappears.
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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
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Snapdragon and Apple M2/M3 Running LLMs On-Device
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Yes, def, did you see the snapdragon keynote? 30 tokens a second for Llama2 7B param on device. Maximum 13B param available to run on device. Apple can def run LLM’s on M2/M3
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Synthetic Data and AI Transform Enterprise Service Delivery
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Learn how organizations like @Exelon and @CoveredCA are using #SyntheticData and NVIDIA #AI to overcome real-life technology challenges and enhance the delivery of essential services. Read more: https://
nvda.ws/3SffxO4