The most important AI paper of 2025 might have just dropped.
NVIDIA lays out a framework for Small Language Model agents that could outcompete LLMs.
Here’s the full breakdown (and why it matters):
Extracting structured fields from PDFs is a common document workflow. Accuracy is critical, and you need to verify the data is correct.
Today, we're introducing citations. Pass us a schema - we'll extract the data you want, and show you where it came from.
We are releasing NuMarkdown-8B-Thinking, an open-source (MIT License) reasoning OCR model 🧠✨📄
NuMarkdown-8B-Thinking is apparently the first (!) reasoning VLM specialized in converting PDFs/Scans/Spreadsheets into Markdown files (typically used for RAG applications).
It…
Just read an insanely good breakdown on building AI agents—context engineering is the secret sauce.
Why?
- Maximize KV-cache hits (keep prompts static where possible)
- Prefill responses to control tool calls
- Use files like persistent memory (store filenames, not data)
-…
Today, NVIDIA's Llama Nemotron Super 49B v1.5 model topped the Artificial Analysis Intelligence Index leaderboard.
This model is ready for commercial use and accessible via @huggingface
- Achieved best-in-class performance for reasoning and agentic tasks.
- context length of…
📢NuExtract 2.0 & the NuExtract platform are OUT!📢
NuExtract 2.0 is a VLM specialized in extracting structured information (JSON output) from texts/PDFs/scans, and it is outclassing frontier LLMs at it
It’s actually possible that you read these books and totally absorb them and it ends with mark zuckerberg offering you hundreds of millions a year in salary
It’s actually possible that you read these books and totally absorb them and it ends with mark zuckerberg offering you hundreds of millions a year in salary
AI Agents Evaluation
Evaluation is key to developing reliable and scalable agentic systems.
Really enjoyed this conversation with @ptkbhv on *everything* related to AI agent evaluation.
One of the many deep dives we have done at the @dair_ai academy.
Feel free to share with…
Fine-tune Gemma3n on videos with audios inside with Colab A100 🔥
Just dropped the notebook where you can learn how to fine-tune Gemma3n on images+audio+text at the same time!
Introducing our latest technical report: Context Rot - How Increasing Input Tokens Impacts LLM Performance
Our results reveal that models do not use their context uniformly.
full report in replies
if anyone wants to collab with me at @lossfunk on this, reply or DM!
even though I suspect EEG doesn't have sufficient spatial resolution, brain-to-speech is a cool application to see how much we can extract from feeble signals
if anyone wants to collab with me at @lossfunk on this, reply or DM!
even though I suspect EEG doesn't have sufficient spatial resolution, brain-to-speech is a cool application to see how much we can extract from feeble signals
Added a simple think tool to Introspect. Makes agentic behavior so much better!
Big props to Anthropic for writing about this. It is unreasonably effective for how simple it is
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