!auai
@programming.devhttps://arstechnica.com/ai/2023/11/googles-deepmind-finds-2-2m-crystal-structures-in-materials-science-win/
Trove of combos is >45 times larger than number unearthed in entire history of science.
Hi all,
As per the title, I'd love to give this a crack. Also, I'm doing so on my laptop, which has an Intel card in it, if that makes any difference?
Any advice would be greatly appreciated.
https://www.perplexity.ai/
https://ollama.ai/
Get up and running with large language models, locally.
https://app.prodia.com/
Easy-to-use Stable Diffusion API for AI-powered image generation at 90% lower cost than AWS. Effortless scale with no infrastructure worries.
I'm not sure if it's intentional or not, but the Actually Useful AI community rarely gets any post on AI that's actually useful. Is this just a reflection of the popularity of this community or a reflection of the AI field in general?
https://www.nature.com/articles/d41586-023-03272-3
A neural-network-based artificial intelligence outperforms ChatGPT at quickly folding new words into its lexicon, a key aspect of human intelligence.
https://blog.jetbrains.com/blog/2023/10/16/ai-graphics-at-jetbrains-story/
Generating art at JetBrains At JetBrains, we are constantly refining our approach to creating pieces of art for use as website elements and release graphics. Our mission is to free graphic designers f
https://pytorch.org/blog/real-time-speech-rec/
Audio-Visual Speech Recognition (AV-ASR, or AVSR) is the task of transcribing text from audio and visual streams, which has recently attracted a lot of research attention due to its robustness to noise. The vast majority of work to date has focused on developing AV-ASR models for non-streaming recognition; studies on streaming AV-ASR are very limited.
https://hlfshell.ai/posts/llms-and-robotics-papers-2023/
tldr I write about some of the more interesting works that shaped my understanding of applying LLMs for AI agents and robotic applications. Introduction What is this LLMs as a fad - a caveat Are LLMs actually going to be useful for robotics? Instruct based Benchmarking LLM basics n-shot and reasoning via prompting Chain of Thoughts Self consistency ReAct Tree of Thoughts Automating our automatons Lies, safeguards, and Waluigi Building LLM Agents Finetuning With Tool APIs MRKL Toolformer TALM MM-React Generative Agents: Interactive Simulacra of Human Behavior Socratic Models LLMs and Robotics Code generation and multi agents SayCan Inner Monologues Code As Policies ProgPrompt Statler LM-Nav RT2 Final Thoughts Introduction What is this I’m kicking off a project that is centered around the idea of applying large language models (LLMs) as a context engine; understanding contextual information about the environment and deriving additional steps from human intent to shape its actions.