Fine-tuning adapts a pretrained AI model by continuing its training on a smaller, targeted dataset. The added examples can teach specialized terminology, a preferred response format, a new classification task, or behavior suited to a particular organization or domain. Updating all parameters may require substantial computing power, while parameter-efficient techniques modify only a small portion of the model or add lightweight trainable components. Fine-tuning can improve consistency and reduce the need for lengthy prompts, but it does not automatically provide current facts or eliminate errors. Dataset quality, privacy, licensing, evaluation, and safeguards remain essential. Teams should compare the result with prompting or retrieval-based alternatives, monitor performance outside the training examples, and retain a path for correcting unwanted behavior.
LinkedIn is testing a new platform that lets users earn up to $150 per hour training AI models. The move taps into fast-growing demand for human feedback in AI.
Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.
ŌURA unveils a proprietary large language model for women’s health, combining clinical research and biometric data to deliver personalized, privacy-first AI guidance through Oura Advisor.
A former Citigroup executive says commercially available humanoid robots can now deliver a return on investment in under 10 weeks, potentially accelerating enterprise automation.
Former DeepMind researcher David Silver has raised $1 billion for London-based Ineffable Intelligence, aiming to build a superintelligence that learns autonomously through experience.
India’s AI Impact Summit in New Delhi delivered more than $250 billion in investment commitments, spanning data centers, AI infrastructure, and global expansion plans.
Fei-Fei Li’s World Labs secured a $200 million investment from Autodesk as part of a broader $1 billion round, deepening collaboration on AI systems that generate and reason about 3D environments.
Mistral AI CEO Arthur Mensch said more than half of today’s enterprise software could be replaced by AI, intensifying investor concerns about the future of SaaS business models.
Perplexity says it will not reintroduce advertising into its AI answers, distancing itself from rivals that are experimenting with ads to offset rising costs.