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A Neuro-Symbolic Perspective on Large Language Models (LLMs)

Austria, Linz
Joined January 2023
Photo by SymbolicAI (@SymbolicAPI)
I've been working on QSTAR already back in 2014/2015. Read the paper here: sciencedirect.com/science/ar… ;)
Q-learning is back from the dead.
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AI in Life Sciences is a thing..
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youtube.com/watch?v=R46Sskmm… @DinuMariusC and @leojoinsthevoid share more about the ChatBot with tool use functionality in SymbolicAI. We're working towards an easy user interface to customize your own tools and memory storage/retrieval for your own ChatBot/agent!
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SymbolicAI retweeted
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model latent diffusion model based approach (TANGO) outperforms the state-of-the-art AudioLDM on most metrics and stays comparable on the rest on AudioCaps test set, despite training the LDM on a 63 times smaller dataset and keeping the text encoder frozen. This improvement might also be attributed to the adoption of audio pressure level-based sound mixing for training set augmentation, whereas the prior methods take a random mix abs: arxiv.org/abs/2304.13731 github: github.com/declare-lab/tango
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Some said I am to optimistic when I showed this image three months ago and stated that SOON #GPT3-like #LLMs will be available at the core of the dev stack (@SymbolicAPI) Well… you can now run GPT3-level #AI models on your laptop, phone, and Raspberry Pi arstechnica.com/information-…
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SymbolicAI retweeted
Adding Conditional Control to Text-to-Image Diffusion Models present a neural network structure, ControlNet, to control pretrained large diffusion models to support additional input conditions paper: github.com/lllyasviel/Contro… github: github.com/lllyasviel/Contro…
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A tutorial from @OpenAI on how to build a question-answering system on your custom website Preprocess: 1. Website -> text (Scraping) 2. Text -> chunks -> embed Inference: 1. Question -> embed 2. Get topK similar chunks 3. Answer generation using 1 & 2 platform.openai.com/docs/tut…
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Meet SymbolicAI: The Powerful Framework That Combines The Strengths Of Symbolic Artificial Intelligence (AI) And Large Language Models buff.ly/3wwBCM8 #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles
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We are excited to present our work, combining the power of a symbolic approach and Large Language Models (LLMs). Our Symbolic API bridges the gap between classical programming (Software 1.0) and differentiable programming (Software 2.0). GitHub: github.com/Xpitfire/symbolic… [1/n]
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