SymbolicAPI's profile picture. A Neuro-Symbolic Perspective on Large Language Models (LLMs)

SymbolicAI

@SymbolicAPI

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

置頂

Here is a short example:

SymbolicAPI's tweet image. Here is a short example:

SymbolicAI 已轉發

🚀 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…

kianajafarim's tweet image. 🚀 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…

SymbolicAI 已轉發

Tokyo will become a Global R&D Powerhouse in AI.


We are migrating our Twitter/X handle to @ExtensityAI


SymbolicAI 已轉發

I've been working on QSTAR already back in 2014/2015. Read the paper here: sciencedirect.com/science/articl… ;)

gklambauer's tweet image. I've been working on QSTAR already back in 2014/2015.

Read the paper here:
sciencedirect.com/science/articl…

;)

Q-learning is back from the dead.



SymbolicAI 已轉發

AI in Life Sciences is a thing..


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:

DinuMariusC's tweet image. 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:
DinuMariusC's tweet image. 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:


SymbolicAI 已轉發

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!

johntanchongmin's tweet card. Tutorial #4: SymbolicAI ChatBot In-Depth Demonstration (Tool Use and...

youtube.com

YouTube

Tutorial #4: SymbolicAI ChatBot In-Depth Demonstration (Tool Use and...


SymbolicAI 已轉發

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…

_akhaliq's tweet image. 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…

SymbolicAI 已轉發

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…

DinuMariusC's tweet image. 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…

SymbolicAI 已轉發

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…

_akhaliq's tweet image. 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

aaronsiim's tweet image. 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



SymbolicAI 已轉發

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…

ramsri_goutham's tweet image. 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…


SymbolicAI 已轉發

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


Loading...

Something went wrong.


Something went wrong.