This Distinguished Engineer at Google just released a 424-page free book on Agentic Design Patterns.
Covers advanced prompt engineering, multi-agent frameworks, RAG, agent tool use and MCP.
100% free with practical code examples.
MASSIVE. THE LARGEST open-sourced pdf data just dropped on @huggingface . Finepdfs
3 trillion tokens across 475 million documents in 1733 languages.
This is the largest publicly available corpus sourced exclusively from PDFs, containing about
The data was sourced from 105…
MASSIVE. THE LARGEST open-sourced pdf data just dropped on @huggingface . Finepdfs
3 trillion tokens across 475 million documents in 1733 languages.
This is the largest publicly available corpus sourced exclusively from PDFs, containing about
The data was sourced from 105… https://t.co/ENktYIMisN
Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents amzn.to/4n146Gg
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI…
You can literally build and deploy LLM Agents just using natual language!
AutoAgent is a Fully-Automated and highly Self-Developing framework that enables users to create and deploy LLM agents through Natural Language.
100% Open source
AWS released an open-source framework that lets you orchestrate multiple AI agents and handle complex conversations.
Can be deployed locally on your computer.
Somebody wrote a prompt that's supposed to reduce ChatGPT hallucinations.
A Reality Filter
Has a Google Gemini and Claude version too.
it’s a directive scaffold that makes them more likely to admit when they don’t know.
"Reduce hallucinations mechanically—through repeated…
Google has released the usage limits for various tiers of Gemini 2.5.
Free: 5 prompts for 2.5 Pro, 20 audio overviews and up to 100 images generation per day; 5 reports per month for Deep Research
AI Pro: 100 prompts for 2.5 Pro, 20 reports for Deep Research, 1,000 images, 3…
🚨BREAKING: Gemini 2.5 can now edit images, reason in parallel, and answer in real time.
This isn’t just ChatGPT competition, it’s a whole new category.
Here’s how: 👇
Our new audio overview formats are 100% rolled out to ALL users in ALL languages!!! 🥳
Which has been your favorite so far? Or, if you're craving additional formats, let us know your suggestions below!
Fine-tune 100+ LLMs directly from a UI!
LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code.
Supports 100+ models, multimodal fine-tuning, PPO, DPO, experiment tracking, and much more!
100% open-source, 57k stars!
Apple and Oxford just made AI 6.5x better at problem-solving.
The secret: it teaches AI agents to ask perfect questions. This rockets success rates from 14% to 91%.
No need for fine-tuning or retraining. It runs on current models.
Here's how it works:
It's a strategic loop…
"RAG is just fancy search" - a quote that aged poorly.
The next frontier isn't just about better retrieval, it's about giving your RAG systems components that actually do more with your data.
Building RAG is easy at this point, now, we need to start going beyond that and…
a senior engineer at google just dropped a 400-page free book on docs for review: agentic design patterns.
the table of contents looks like everything you need to know about agents + code:
> advanced prompt techniques
> multi-agent patterns
> tool use and MCP
> you name it
this is a repo to die for.
a collection of LLM apps with multi-agents, MCP, RAG and so much more.
the best way to learn is by building, and this repo provides the blueprint.
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