There are now hundreds of thousands of bots on Poe, and you can see some of them at http://
poe.com/explore_bots . We are continuing to invest heavily in improving the bot creator experience so please share all feedback to feedback@poe.com. Thank you!
GENERATIVE AI
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Poe Platform Reaches Hundreds of Thousands of Bots
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Temperature Parameter Controls AI Bot Consistency Creativity
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Temperature allows you to make a bot more consistent, to the point where it will be close to deterministic with temperature=0, or more creative and unpredictable with higher temperatures.
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Free Generative AI Conference on LLMs and AI Agents
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Free Generative AI Conference on LLMs and AI Agents: This half-day event features top AI/Ml leaders, researchers from prestigious universities, tech companies, and more! And, of course, @Noahpinion
! July 25, 2023 Reserve your spot here: https://
eventbrite.com/e/stateofthear
t-free-generative-ai-conference-on-llms-and-ai-agents-tickets-641826449187
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Data Scientists Still Needed in Generative AI Era
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Are Data Scientists Still Needed in the Age of Generative AI?: The Rise of ChatGPT. https://
kdnuggets.com/2023/06/data-s
cientists-still-needed-age-generative-ai.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=are-data-scientists-still-needed-in-the-age-of-generative-ai
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Generative AI Primer: Prompts and Embeddings for Executives
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Are you fluent in prompts and embeddings? A #GenerativeAI primer for busy executives @googlecloud @Khulood_Almani @SabineVdL @KanezaDiane @maiagabunia6786 @FrRonconi @Nicochan33 @Shi4Tech @mvollmer1 @fogle_shane @Ym78200 @kalydeoo @enilev @AkwyZ https://
cloud.google.com/blog/transform
/generative-ai-primer-glossary-for-business-execs
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LLMs Lack Many Assumed Capabilities, Beware Hype
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Today, in 2023, it's good to remember that most of the capabilities that the tech industry assumes LLMs to already possess aren't yet within reach. Tread this space carefully, and beware of shiny demos. Last year, I was repeatedly told that the upcoming GPT-4 was already AGI.
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AI Progress: Applications vs Generality and Future Capabilities
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Remember — we are making progress on AI (though far more on applications than on generality, which remains largely a green field). The progress is significant in speed and magnitude. But the conventional wisdom of the tech community about current and near-future AI capabilities
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Multimodal LLM with Vision-Language Transformer and LangChain
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Using the `Vision-and-Language Transformer` model and @LangChainAI to create a Multimodal LLM in @Streamlit! 🔥
— Charly Wargnier (@DataChaz) 23 juillet 2023
– Demo app: https://t.co/miwwtiUxv0
– ViLT model: https://t.co/nz8npLUs9o
– App creator: @nicolas_tch pic.twitter.com/iTWuMwgc8WUsing the `Vision-and-Language Transformer` model and @langchain to create a Multimodal LLM in @Streamlit
! – Demo app: https://
vilt-gpt-ppn83ly4c9.streamlit.app
– ViLT model: https://
huggingface.co/dandelin/vilt-
b32-finetuned-vqa
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– App creator: @nicolas_tch -
AI capability predictions: 2016 expectations versus 2023 reality
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In 2016, people didn't anticipate next-token prediction models (which were LSTMs then) to be this capable, but they did expect AI to soon have most of the capabilities they show now. Remember the chatbot mini-bubble of 2017? It was predicated on 2023 capabilities coming circa
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LLM capabilities have advanced far beyond 2016 expectations
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I don’t think many people in 2016 thought that LLMs would be so much more capable today. As you note, the use cases even when they’re not perfect are enormous.