TechCrunch

Instead of fine-tuning an LLM as a first approach, try prompt architecting instead

Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information ...
SiliconANGLE

Thinking Machines makes its Tinker AI fine-tuning service generally available

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability. San Francisco-based Thinking Machines was founded in February by Mira Murati ...
VentureBeat

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

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 ...
VentureBeat

Uh-oh! Fine-tuning LLMs compromises their safety, study finds

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As the rapid evolution of large language models (LLM) continues, ...
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 ...
Geeky Gadgets

Unlock the Secret to Fine-Tuning Small AI Models for Big Results

What if you could transform a lightweight AI model into a specialized expert capable of automating complex tasks with precision? While large language models (LLMs) often dominate the conversation, ...