
SymbolicAI
@SymbolicAPI
A Neuro-Symbolic Perspective on Large Language Models (LLMs)
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🚀 ICLR 2025 workshop on Human-AI Coevolution open for submissions 🚀 Excited to announce our workshop at the International Conference on Learning Representations (ICLR) 2025, bringing together a rapidly growing interdisciplinary community including Mykel Kochenderfer, Yang…

Tokyo will become a Global R&D Powerhouse in AI.
Open AI is planning to open its first Asia based office in Tokyo. ..following the path of @SakanaAILabs? bloomberg.com/news/articles/…
I've been working on QSTAR already back in 2014/2015. Read the paper here: sciencedirect.com/science/articl… ;)

AI in Life Sciences is a thing..
Listen to our founders Marius & Leo talking about the symbolicAI framework - part 1. Interviewed by @johntanchongmin youtu.be/Ch9ygW62A34?t=… #AIwednesday #deeplearning #machinelearning #LLM #generativeAI #Neurosymbolic #artificialintelligence #ai #datascience #innovation
youtube.com
YouTube
Tutorial #3: Symbolic AI - Symbols, Operations, Expressions, LLM-ba...
Have a look at our latest release that brings the power of GPT with plugins from @ExtensityAI to your local shell pypi.org/manage/project…
Or you could do the same and stay in your local dev environment by simply using the @SymbolicAPI framework and your favourite GPT engine or host your own backend. Here are some inspirational examples for shell tool interactions and Jupyter notebooks:


youtube.com/watch?v=R46Ssk… @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!
youtube.com
YouTube
Tutorial #4: SymbolicAI ChatBot In-Depth Demonstration (Tool Use and...
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…

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-te…

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/Con… github: github.com/lllyasviel/Con…

Here an overview of many text-to-🪄 representations 💪
generative ai 🗨️: • text-to-gif (T2G) • text-to-3D (T2D) • text-to-text (T2T) • text-to-NFT (T2N) • text-to-code (T2C) • text-to-image (T2I) • text-to-audio (T2S) • text-to-video (T2V) • text-to-music (T2M) • text-to-motion (T2Mo) #artificialintelligence

Another nice example showcasing how text as a symbolic representation is essential for ML.
SceneScape: Text-Driven Consistent Scene Generation abs: arxiv.org/abs/2302.01133 project page: scenescape.github.io text-driven perpetual view generation -- synthesizing long videos of arbitrary scenes solely from an input text describing the scene and camera poses
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/tutorials…

Great thx @ai_austria for referencing us in their newsletter: aiaustria.substack.com/p/ai-austria-m…
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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