Große Sprachmodelle: GPT-4, LLaMA & Co 🎙️

Große Sprachmodelle: GPT-4, LLaMA & Co 🎙️ (click here to comment) 6. April 2023 , Jochen Disclaimer: Sowohl Titel wie auch Beschreibung wurden von GPT-4 generiert. Kontext war die Liste der Links aus den Shownotes. Manuel , Johannes , Dominik & Jochen tauschen sich über große Sprachmodelle (LLMs) wie GPT-4 und LLaMA aus 🌐. Sie besprechen faszinierende Anwendungen in Projekten wie GitHub Copilot und BlenderGPT 🛠️, sowie die Rolle von Word Embeddings und Reinforcement Learning from Human Feedback (RLHF) in der Modellentwicklung 📊. ChatGPT wird dabei als Beispiel hervorgehoben, das die Nützlichkeit von LLMs einer breiteren Öffentlichkeit verdeutlicht hat. Die Diskussion umfasst auch ethische Bedenken im Zusammenhang mit LLMs 🚨 und schließt mit Empfehlungen für vertiefende Ressourcen 📚🎧. Shownotes Unsere E-Mail für Fragen, Anregungen & Kommentare: hallo@python-podcast.de News Allgemeines Geplauder Pause Giant AI Experiments: An Open Letter Thoughts on a Crazy Week in AI News GitHub Copilot JetBrains Fleet GPT-3 (generative pre-trained transformer) / Few-shot learning / Chain-of-thought GPT-4 Eight Things to Know about Large Language Models | Sehr interessante Zusammenfassung von Dingen, die man bisher weiß BlenderGPT - This addon allows you to use Blender with natural language commands using OpenAI's GPT-3.5/GPT-4 Introducing LLaMA: A foundational, 65-billion-parameter large language model / Alpaca.cpp / Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality GPUs in der Cloud: beam.cloud / pipeline.ai / crebrium.ai / banana.dev Hugging Face / Natural Language Processing with Transformers (Book) Inference of LLaMA model in pure C/C++ Large Language Models Let's build GPT: from scratch, in code, spelled out Attention Is All You Need | Das ursprüngliche Transformer-Paper The Waluigi Effect (mega-post) LangChain | Building applications with LLMs through composability ChatGPT plugins Zero-shot learning On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Understanding models understanding language | Was Modelle aus Text über Farben lernen Global workspace theory Bouba/kiki effect ControlNet Word embeddings llm command line tool Geppetto - go LLM and GPT3 specific prompting framework | enthält das cli tool pinocchio kitty - the fast, feature-rich, cross-platform, GPU based terminal pyupgrade A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language Semi supervised learning Illustrating Reinforcement Learning from Human Feedback (RLHF) What Is ChatGPT Doing … and Why Does It Work? The Illustrated Transformer Eight Things to Know about Large Language Models Medien zum Vertiefen Yoshua Bengio: large language models, higher cognition, causality, working memory, responsible AI ( The Robot Brains Podcast ) | Sehr gut! Episode 88: ChatGPT ( Hotel Bar Sessions ) | Meh, aber interessant wie daneben die liberal arts Leute liegen A.I. Is About to Get Much Weirder. Here’s What to Watch For. ( The Ezra Klein Show ) | Quite solid for a journalistic publication ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI ( Latent Space Podcast ) Prompt Engineering and AI Constitutions with Stephen Wolfram Picks streamlit.io - A faster way to build and share data apps ruff - An extremely fast Python linter, written in Rust Scrapeghost is an experimental library for scraping websites using OpenAI's GPT BlenderGPT - This addon allows you to use Blender with natural language commands using OpenAI's GPT-3.5/GPT-4 Descript is the simple, powerful, and fun way to edit Manuels Links Geppetto - go LLM and GPT3 specific prompting framework glazed - Output structured data in a variety of formats GO GO ESCUSE ME zsh ding kitty script

You can listen to Große Sprachmodelle: GPT-4, LLaMA & Co 🎙️ online on Radio and Podcast. Open the player on this page to stream the available audio.

Große Sprachmodelle: GPT-4, LLaMA & Co 🎙️ is an episode from Python Podcast by Jochen Wersdörfer / Dominik Geldmacher.

The episode duration depends on the source podcast feed and may not always be available.

This episode was published on Apr 6, 2023.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Python Podcast when more episodes are available from the podcast feed.