Can someone tell me what makes a "foundation model" different from "general purpose AI models"? Apparently the EU Parliament is the first one to know. I've yet to hear of a clear demarcation around what is or isn't a foundation model…
LLMS
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Dating Preferences for Advanced Language Models with Large Context Windows
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i only date language models with six-figure context window
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You’re Probably Underestimating AI Chatbots Impact
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"You’re Probably Underestimating #AI Chatbots" by @StevenLevy #RuleoftheRobots https://
wired.com/story/plaintex
t-youre-probably-underestimating-ai-chatbots/?utm_source=twitter&utm_medium=social&utm_campaign=onsite-share&utm_brand=wired&utm_social-type=earned
… via @wired -
Master LLMs ETL and Data Lake Querying at DataAISummit
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Take advantage of getting trained IRL at #DataAISummit! Trainings include: Leveraging the latest developments in #LLMs How to productionalize ETL pipelines Querying directly on your organization’s #data lake And many more. Register now https://
bit.ly/40bHaZr -
Prompting Techniques Adapt LLMs Mobile User Interfaces
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Read how our suite of prompting techniques, combined with a novel algorithm, can adapt LLMs to mobile user interfaces (UIs), enabling various conversational interactions with mobile UIs while achieving competitive results and saving developers time. https://t.co/9ABtjtylnS pic.twitter.com/crZ01VyRip
— Google AI (@GoogleAI) 12 mai 2023Read how our suite of prompting techniques, combined with a novel algorithm, can adapt LLMs to mobile user interfaces (UIs), enabling various conversational interactions with mobile UIs while achieving competitive results and saving developers time. https://
goo.gle/42w91Vs -
Nigerian Healthtech Startup Intron Uses NVIDIA NeMo AI
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NVIDIA Inception member Intron Health, based in Nigeria, helps busy doctors see more patients thanks to NVIDIA NeMo. Learn more: https://
nvda.ws/3I3cv9K -
Future of LLMs: Context Windows vs Advanced Retrieval Techniques
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I would also like to see this comparison. I am curious what is the future: a) larger context windows (potentially infinite)?
b) more advanced retrieval techniques?
c) hybrid of these two? -
OpenAI’s Secret Sauce Versus Google’s PaLM 2 Performance
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(Though, to be clear, it got very close with its fine-tuned large PaLM 2. So it is also possible that OpenAI has a secret sauce here that Google was not able to match.)
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OSS Community Settles on 3B and 7B Model Sizes
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So two things are happening here: first is that the OSS community (and potentially Meta) seems to be settling around 3B and 7B. Second is it's surprising Google did not go straight for GPT-4—it seems to me really unlikely that they wouldn't be able to hit that if they wanted.