Tag

#LLMs

14 articles

US government sides with OpenAI on issue of training LLMs on copyrighted material

U.S. government supports OpenAI's use of copyrighted material for AI training, citing national interests in maintaining competitive AI industry standards.

Sep 268

YouTuber Hank Green says his AI usage is ‘not healthy’

This article explains the neurobiological mechanisms behind AI addiction, exploring how large language models trigger dopamine responses and create compulsive usage patterns similar to substance addiction.

Aug 145

Ollama raises $65M as its open-model runner hits nearly 9M developers

Ollama has raised $65M in Series B funding, bringing its total to $88M, as its open-model runner reaches nearly 9 million developers worldwide.

Jul 989

The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

As KV cache memory outpaces model weights in large language models, three compression techniques—TurboQuant, OSCAR, and EpiCache—are emerging as key contenders. While each offers distinct methods for optimization, they are seen as complementary rather than competitive.

Jun 1898

George Hotz says coding agents will be "one of the most costly mistakes" in software development

Programmer George Hotz warns that AI coding agents will become one of the industry's most costly mistakes, citing their inability to handle code details reliably. His critique highlights the growing divide in the tech community over AI's role in software development.

May 25106

The Rise of LLMs Is Not an Accident

The rise of large language models is fundamentally altering consumer behavior and trust, signaling a major shift in marketing strategy. Industry veterans are observing how AI is reshaping decision-making logic and brand interaction.

May 2290

Graphon AI exits stealth with $8.3M to build the data layer that LLMs are missing

Graphon AI has exited stealth with $8.3 million in seed funding, aiming to build a missing data layer for LLMs using a mathematical concept called graphons.

May 1487

tech

Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python

A new tutorial demonstrates how to build a modular skill-based agent system for LLMs using dynamic tool routing in Python, enabling scalable and flexible AI agent architectures.

May 585

The LoRA Assumption That Breaks in Production

LoRA, a widely used technique for fine-tuning large language models, assumes all updates are similar — a premise that fails in real-world production environments. This limitation is now prompting a reevaluation of its effectiveness in complex, diverse applications.

Apr 26107

LLMs crush coding and math but choke on casual questions, and that's not a contradiction

Large Language Models excel at coding and math but often fail on casual questions, revealing a fundamental limitation in current AI systems.

Apr 10159

Paged Attention in Large Language Models LLMs

Paged Attention emerges as a key solution to the GPU memory bottleneck in large language models, enabling more efficient memory usage and higher concurrency in AI inference systems.

Mar 24151

This AI Paper Introduces TinyLoRA, A 13-Parameter Fine-Tuning Method That Reaches 91.8 Percent GSM8K on Qwen2.5-7B

Researchers from Meta, Cornell, and CMU introduce TinyLoRA, a 13-parameter fine-tuning method that achieves 91.8% accuracy on GSM8K using Qwen2.5-7B.

Mar 24125