How Do AIs Become Intelligent? | Intelligence and Growth Through the Lens of LLM Learning

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

Making LLM training more stable: "EnergyCal," a new optimization method to suppress MoE loss spikes

In this article, we introduce some slightly technical research from FA Research.To improve the performance of LLMs, it is ...
Tech Times on MSN

Two-line robots.txt entry blocks all four AI giants from training on your content

Google, OpenAI, Microsoft, and Anthropic now honor one robots.txt token that blocks AI training across all four platforms.

How LLM developers are solving semantic erosion to keep human intent alive

The core challenges of semantic erosion and the intent compression paradox that LLMs face, and how developers address these ...

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...
X

Rikiya Takehi on X: "4/6 Writing from scratch: given MinAtar game rules and code, Astra wrote a Breakout network's weights in a single reply. With zero training or tools, it ...

Writing from scratch: given MinAtar game rules and code, Astra wrote a Breakout network's weights in a single reply. With zero training or tools, it scored 20× higher than PPO trained for 500M steps!
HackerNoon

RAG vs LLM Fine-Tuning: Choosing the Right Approach for Enterprise AI

Compare RAG vs LLM fine-tuning for enterprise AI. Learn their differences, benefits, use cases, costs, and how to choose the ...
XDA Developers

My phone runs a local 2B model that searches the web, and Perplexity feels pointless now

Model size decides how much a model can hold onto, and research puts that at roughly 2 bits of knowledge per parameter even ...
BIOENGINEER

Hybrid LLM and SHAP framework explains cyberbullying predictions

A study of 5,000 Turkish tweets found that SHAP offered detailed feature attributions while local LLM explanations were ...
HackerNoon

The Evolution of LLMs, Explained Through What We Train Them to Do

Trace the evolution of LLMs from GPT-1 to AI agents, exploring pretraining, RLHF, reasoning models, and the changing ...
Boston University

Two-Year LLM Programs

The Two-Year LLM is a rigorous program tailored for ambitious international lawyers seeking to master US law and advance their careers. Geared towards globally-minded practitioners, it thoroughly ...
KDnuggets

Named Entity Recognition Using Scikit-LLM

Our NER pipeline, despite its simplicity in setup, did a pretty good job.