Tech Xplore on MSN

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
NextBigFuture

Reinforcement Learning Does NOT Fundamentally Improve AI Models

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...
International Monetary Fund

Reinforcement Learning from Experience Feedback: Application to Economic Policy

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Science News

A look under the hood of DeepSeek’s AI models doesn’t provide all the answers

It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...
InfoWorld

Are large language models wrong for coding?

The rise of large language models (LLMs) such as GPT-4, with their ability to generate highly fluent, confident text has been remarkable, as I’ve written. Sadly, so has the hype: Microsoft researchers ...
Geeky Gadgets

Pretrained vs Fine-tuned vs Instruction-tuned vs RL-tuned LLM models what is the difference?

In the exciting realm of machine learning and artificial intelligence, the nuances between different types of models can often seem like a labyrinth. Specifically, when it comes to Large Language ...