Synthetic Intelligence RSS

My Patreon: https://www.patreon.com/daveshap - Exclusive Discord - Consultations - Insider updates - Support my research, videos, and Open Source work My Homepage: https://www.daveshap.io/ - All my links - My books - Philosophy, etc 2023-10-09T10:15:23Z1280 https://www.youtube.com/embed/8phmHSUDzRg

In this video, I show you how to use AutoGen, which allows anyone to use multi-agent LLMs to power their applications. First, I give an overview of what AutoGen is, and then I show you how to use it with two examples. Currently, AutoGen works with OpenAI's API, but they are already working on adding local models natively, and you can already do it through LiteLLM with a proxy server. Enjoy :) Become a Patron 🔥 - https://patreon.com/MatthewBerman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Follow me on Twitter 🧠 - https://twitter.com/matthewberman Follow me on TikTok 👋 - https://www.tiktok.com/@matthewberman60 Subscribe to...

In this video, I demonstrate how you can develop your ideas using https://infranodus.com knowledge graphs and built-in GPT-4 AI. I'm using an example of "heart rate variability" as I'm currently working on an app and a wearable device that provides advanced insight into this health metric. The core of the approach is to use the AI for inspiration, instead of having it write content for you. The "Idea generation" app in #infranodus will suggest you begin by writing an idea you want to develop. It will then suggest some more ideas for you to get going. You can add some...

🌽 If you find kernels of wisdom here, consider subscribing for more insightful bites! 💖 Love Our Content? Here's How You Can Support the Channel: ☕️ Buy me a coffee: https://ko-fi.com/innoqube 📰 Stay in the loop! Subscribe to our newsletter: https://techfusion.beehiiv.com/subscribe ⚙️ My YouTube Gear: https://kit.co/InnoQube/ultimate-ai-creator-s-kit 📖 Video Chapters: 00:00 - Introduction 01:40 - AutoGen Demo 2023-10-08T13:20:58Z1280 https://www.youtube.com/embed/yFL6cBhIato

Medium article: https://medium.com/@dave-shap/become-a-gpt-prompt-maestro-943986a93b81 Slide Deck: https://github.com/daveshap/YouTube_Slide_Decks/blob/main/Business%20and%20Product/LLM%20Prompt%20Taxonomy.pdf Large language models (LLMs) like GPT-4 have shown impressive abilities to generate humanlike text, have conversations, and demonstrate knowledge across many domains. However, there is still confusion around exactly how LLMs work and what capabilities they currently possess. This passage aims to provide a high-level taxonomy of LLM abilities and limitations. LLMs are deep learning neural networks trained on massive text datasets to predict the next word in a sequence. This allows them to build complex statistical representations of language and accumulate world knowledge from their training data. LLMs have no explicit rules or...