LLMs believe false statements even after explicit warnings that they're false
Fine-tuning tests show "bias ... toward confidently representing the claims as true."
Artificial Lawyer·
Kirkland & Ellis’s $500m tech project could involve fine-tuning open source LLMs to create their ‘own’ legal AI model, their hiring binge for innovation roles ...
Read full articleFine-tuning tests show "bias ... toward confidently representing the claims as true."
World’s highest-grossing law firm plans to put the ‘collective intelligence’ of its lawyers into a tech platform
Commure, an AI platform targeting healthcare’s $1 trillion annual administrative burden, has raised $70 million at a $7 billion post-money valuation in a round led by General Catalyst, with participation from Sequoia Capital, Morgan Stanley, and Kirkland & Ellis. The company operates across more than 500 healthcare organisations and 3,000 care sites, with its AI […]
Adaption's new AutoScientist tool is designed to let models adapt to specific capabilities quickly through an automated approach to conventional fine-tuning.
Learn the top Python frameworks for LLM apps covering fine-tuning, model loading, serving, RAG pipelines, multi-agent systems, and evaluation.
LoRA is widely used for fine-tuning large models because it’s efficient, but it quietly assumes that all updates to a model are similar. In reality, they’re not. When you fine-tune for style (like tone, format, or persona), the changes are simple and concentrated in just a few dimensions — which LoRA handles well with low-rank […] The post The LoRA Assumption That Breaks in Production appeared first on MarkTechPost.