Geeky Gadgets

How to fine tune AI models with no-code

Fine-tuning an AI model is like teaching a student who already knows a lot to become an expert in a specific subject. Instead of starting from scratch, we take a model that has learned from a vast ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Tech Times on MSN

Stanford paper challenges core assumption behind offline-to-online reinforcement learning pipelines

Offline-to-online reinforcement learning pipelines may not need pretrained Q-functions: a new Stanford preprint by Chelsea ...
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 ...
Geeky Gadgets

Easiest Way to Fine Tune Llama 3.2 and Run it Locally

Meta’s LLAMA-3.2 models represent a significant advancement in the field of language modeling, offering a range of sizes from 1B to 90B parameters to suit various use cases and computational resources ...
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...
The Washington Post

AI & Tech Brief: The dangers of “fine-tuning” AI

Not a subscriber? Sign up here to get this newsletter in your inbox. This is Benjamin Guggenheim. Welcome to WP Intelligence’s AI & Tech Brief, where we examine the transformative technology of ...