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bytedance/deer-flow: DeerFlow is a community-driven framework for deep research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
bytedance/deer-flow: DeerFlow is a community-driven framework for deep research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
DeerFlow is a community-driven framework for deep research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source communit...
#agent#scraping#search
·github.com·
bytedance/deer-flow: DeerFlow is a community-driven framework for deep research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Unlock Gemma 3's Multi Image Magic
Unlock Gemma 3's Multi Image Magic
🎬 Ever wondered how AI could turn your life into a documentary? Watch as I create a seemingly professional documentary about myself in minutes using Gemma 3, Ollama, and ElevenLabs - no film crew needed! 🎯 In this video, you'll learn: • How to use Gemma 3's multimodal capabilities with multiple images • Building a simple CLI app with Deno/TypeScript for image processing • Working with n8n workflows for AI integration • Creating convincing AI-generated narratives with Ollama • Complete workflow from capture to final video production ⏱️ Timestamps: 00:00 - Start 00:28 - I'm in a Documentary 01:56 - Gemma3 02:13 - Whats new in Gemma3 with Ollama 02:26 - Tell a story with many images 03:54 - Creating the app with Windsurf 04:49 - It's not in x language 05:19 - Let's look at the code 08:32 - The backend in n8n 🛠️ Tools & Resources Mentioned: • Gemma 3 27b • Ollama (https://ollama.com) • ElevenLabs (https://try.elevenlabs.io/tvlst) • n8n • Deno/TypeScript Want to create your own AI-powered content? Drop a comment below with your ideas or questions! #AIContent #TechTutorial #AIDocumentary My Links 🔗 👉🏻 Subscribe (free): https://www.youtube.com/technovangelist 👉🏻 Join and Support: https://www.youtube.com/channel/UCHaF9kM2wn8C3CLRwLkC2GQ/join 👉🏻 Newsletter: https://technovangelist.substack.com/subscribe 👉🏻 Twitter: https://www.twitter.com/technovangelist 👉🏻 Discord: https://discord.gg/uS4gJMCRH2 👉🏻 Patreon: https://patreon.com/technovangelist 👉🏻 Instagram: https://www.instagram.com/technovangelist/ 👉🏻 Threads: https://www.threads.net/@technovangelist?xmt=AQGzoMzVWwEq8qrkEGV8xEpbZ1FIcTl8Dhx9VpF1bkSBQp4 👉🏻 LinkedIn: https://www.linkedin.com/in/technovangelist/ 👉🏻 All Source Code: https://github.com/technovangelist/videoprojects Want to sponsor this channel? Let me know what your plans are here: https://www.technovangelist.com/sponsor
#vision#local model#code#Automation#tutorial
·youtube.com·
Unlock Gemma 3's Multi Image Magic
Claude’s System Prompt: Chatbots Are More Than Just Models
Claude’s System Prompt: Chatbots Are More Than Just Models
A couple days ago, Ásgeir Thor Johnson convinced Claude to give up its system prompt. The prompt is a good reminder that chatbots are more than just their model. They’re tools and instructions that accrue and are honed, through user feedback and design.
#prompt
·dbreunig.com·
Claude’s System Prompt: Chatbots Are More Than Just Models
Gemma 3 QAT Models
Gemma 3 QAT Models
Interesting release from Google, as a follow-up [to Gemma 3](https://simonwillison.net/2025/Mar/12/gemma-3/) from last month: To make Gemma 3 even more accessible, we are announcing new versions optimized with Quantization-Aware Training …
#local model#m1#mac
·simonwillison.net·
Gemma 3 QAT Models
A.I. Mistakes Are Way Weirder Than Human Mistakes – Pixel Envy
A.I. Mistakes Are Way Weirder Than Human Mistakes – Pixel Envy
Last week, I published some thoughts on Meta’s eventual repositioning as a kind of television channel stocked with generated material for any given user: Then TikTok came around and did away with two expectations: that you should have to work to figure out what you want to be entertained by, and that your best source […]
·pxlnv.com·
A.I. Mistakes Are Way Weirder Than Human Mistakes – Pixel Envy
Reaction Prediction Models: Chapter 1 – Catalysts
Reaction Prediction Models: Chapter 1 – Catalysts
In this chapter we will explore models that can propose and rank catalysts for a given reaction transform. The methodology uses graph-based deep learning models trained on a moderate sized corpus o…
#chemistry#tools
·cheminf20.org·
Reaction Prediction Models: Chapter 1 – Catalysts
Suno | AI Music
Suno | AI Music
Create stunning original music in seconds using AI. Make your own masterpieces, share with friends, and discover music from artists worldwide.
#audio#music
·suno.com·
Suno | AI Music
humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents
#agent#code#architecture#design
·github.com·
humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Using LLMs as the first line of support in Open Source
Using LLMs as the first line of support in Open Source
From reading the title I was nervous that this might involve automating the initial response to a user support query in an issue tracker with an LLM, but Carlton Gibson …
·simonwillison.net·
Using LLMs as the first line of support in Open Source