Like if you are hyped by custom GPTs
LLMS
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ChatGPT Turbo: Latest Improvements and Developer Conference Updates
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Chat GPT sigue mejorando y cada día aprende a ser más efectivo, pero los desarrolladores no están con los brazos cruzados y continúan implementando nuevas mejoras.
— Juan Merodio (@juanmerodio) 13 novembre 2023
Este es un resumen de la última conferencia para developers en la que nos presentaron el nuevo Chat GPT Turbo y las… pic.twitter.com/Nzv3OWEmUgChat GPT sigue mejorando y cada día aprende a ser más efectivo, pero los desarrolladores no están con los brazos cruzados y continúan implementando nuevas mejoras. Este es un resumen de la última conferencia para developers en la que nos presentaron el nuevo Chat GPT Turbo y las
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SambaNova Unveils SN40L AI Chip for Generative AI Innovation
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SambaNova experts are live at #SC23 in Denver, CO. Stop by booth # 681 to discuss the next wave of Generative AI powering scientific innovation and discovery using our full stack LLM platform — the SambaNova Suite — now with an intelligent new AI chip, the SN40L
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LLMs Future Problem-Solving Capabilities and Timeline
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My hope is that an LLM will be able to figure this out — although it might be a while.
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LLM Research Limitations: Why Models Need Expert Guidance
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Yes it's very hard. It's a good example of something a decent researcher should be able to handle without too much trouble, but an LLM can't do yet without quite a bit of help. A good answer would specify that there are multiple models and discuss the comparison for each.
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JARVIS-1: Open-World Multi-task Agents with Memory-Augmented LLMs
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JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models Wang et al.: https://
arxiv.org/abs/2311.05997 #Artificialintelligence #DeepLearning #MachineLearning -
New directory for discovering custom GPT models
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One more place to discover custom GPTs https://
gptshunter.com -
Pre-trained base LLMs offer more diversity than instruct-tuned models
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Re: 1, yes — see the parenthesis in the second screenshot. Re: 2, you get more diversity from pre-trained base LLMs than the RLHF/instruct-tuned LLMs most people know. You can also compensate by prompting with random dictionary words for inspiration, à la TinyStories.
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Don’t play 20 Questions with LLMs due to superposition of simulacra
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You shouldn’t play 20 Questions with an LLM. Why? Because LLM behavior less resembles a simulation of a person than a superposition of many such simulacra. In @Nature
, Shanahan, McDonell, and Reynolds eloquently illustrate what this means: -
Limitations of LLMs in Real-Time Web Data Sourcing
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Exploring GPT for news sourcing, I found that ChatGPT can’t access Twitter due to robots.txt restrictions. Interesting to note, Elon Musk said Grok from X will have full Twitter data access, offering an edge. However, while Googlebot accesses Twitter, it seems to lag with about a