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.
VentureBeat

You can now fine-tune your enterprise’s own version of OpenAI’s o4-mini reasoning model with reinforcement learning

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI today announced on its ...

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

New study challenges claim that AI can think like a human

For decades, psychologists have argued over a basic question. Can one grand theory explain the human mind, or do attention, ...
Geeky Gadgets

Unlock the Full Power of DeepSeek R1 by Fine-Tuning Its Reasoning Tasks

Fine-tuning a large language model (LLM) like DeepSeek R1 for reasoning tasks can significantly enhance its ability to address domain-specific challenges. DeepSeek R1, an open source alternative to ...
Geeky Gadgets

How to easily fine-tune Llama 2 LLM models in just 5 minutes

If you are interested in learning more about how to fine-tune large language models such as Llama 2 created by Meta. You are sure to enjoy this quick video and tutorial created by Matthew Berman on ...