Senior AI Product Manager @google | Open Source Awesome LLM Apps Repo (#1 GitHub with 75k+ stars) | Author of books on GPT-3 & Neural Search | My views
Follow me for more such interesting posts → @Saboo_Shubham_
I have created 100+ AI Agents and RAG tutorials, 100% free and opensource.
P.S: Don't forget to star the repo to show your support 🌟
github.com/Shubhamsaboo/awes…
Stop reading about AI Agents.
> start building them
> skip the theory
> write code
100+ Opensource AI Agents and RAG apps (trending on GitHub with 75k+ stars)
GitHub: github.com/Shubhamsaboo/awes…
Gemini API now has an in-built fully managed RAG solution.
File Search Tool lets you ground LLMs with your data without managing storage, chunking or embeddings.
Plus, storage and query-time embeddings are completely free.
Just saw an AI Agent browse the web faster than ever at this MIT Tech event.
Built to scale for millions of web agent operations, not just consumer browsing like ChatGPT Atlas or Perplexity Comet.
No screenshots. No supervision. Just autonomous execution.
Stay tuned for more such interesting posts → @Saboo_Shubham_
I have created 100+ AI Agents and RAG tutorials, 100% free and opensource.
P.S: Don't forget to star the repo to show your support 🌟
github.com/Shubhamsaboo/awes…
Awesome LLM Apps is about to cross 75,000 stars 🤯
If you are learning or building AI Agents, RAG, LLM apps - it is a free resource just for you.
Open-source and community-driven is the way to go.
GitHub: github.com/Shubhamsaboo/awes…
Stay tuned for more such interesting posts → @Saboo_Shubham_
I have created 100+ AI Agents and RAG tutorials, 100% free and opensource.
P.S: Don't forget to star the repo to show your support 🌟
github.com/Shubhamsaboo/awes…
Get 100+ free step-by-step tutorials with code covering:
🚀 AI Agents
📀 RAG Systems
🗣️ Voice AI Agents
🌐 MCP AI Agents
🤝 Multi-agent Teams
🎮 Autonomous Game Playing Agents
P.S: Don't forget to subscribe for FREE to access future tutorials.
theunwindai.com/
Hugging Face just dropped a 200 page playbook on training LLMs.
It covers everything from pre-training to post-training and infrastructure with real examples of what worked and what didn't.
100% free and Opensource.
You can now debug with Gemini right inside Chrome.
Chat with Gemini about the entire trace.
Gemini gets with without any specific context beforehand.
x.com/addyosmani/status/1984…