Technical Content
The behavior of ML models is often affected by randomness at different levels, from the initialization of model parameters to the dataset split into training and evaluation. Thus, predictions made by a model are potentially different every time you run it.
Product Release
With hundreds of models, each offering different capabilities, the process can be overwhelming. Thatās why Mozilla.ai is developing Lumigator, a product designed to help developers confidently select the best LLM for their specific project.
Expert Opinion
We are witnessing explosive growth in the development of artificial intelligence (AI) applications across various industries, from virtual agents to healthcare diagnostics and autonomous driving.
Expert Opinion
At the TAUS Massively Multilingual AI conference in Rome, I had the honor of moderating a panel on Multilingual AI provocatively titled āNo English Please - How to move towards truly multilingual AIā. In this panel, we explored the pressing need for AI to transcend linguistic barriers and embrace global
Technical Content
Over the past few months at Mozilla.ai, weāve engaged with a number of organizations to learn how they are using language models in practice.
Technical Content
We want to help users by providing an easy way for them to a) evaluate whatever model they choose to use, b) get understandable and transparent results, and c) trust the tech stack they want to build. In short, weāre offering accessibility, transparency, and trust.
Technical Content
In the bustling AI news cycle, where new models are unveiled at every turn, cost and evaluation donāt come up as frequently but are crucial to both developers and businesses in their use of AI systems. It is well known that LLMs are extremely costly to pre-train; but closed
Expert Opinion
Since our start last year, our key focus has been exploring state-of-the-art methods for evaluating and fine-tuning large-language models (LLMs), including continued open-source LLM evaluation experiments and establishing our GPU clusterās infrastructure.
Technical Content
In a year marked by extraordinary advancements in artificial intelligence, largely driven by the evolution of large language models (LLMs), one factor stands out as a universal accelerator: the exponential growth in computational power.
Technical Content
āAfter a year of breakneck innovation and hype in the AI space, we have now moved sufficiently beyond the peak of the hype cycle to start asking a critical question: are LLMs good enough yet to solve all of the business and societal challenges we are setting them up for?
Announcement
Announcing Mozilla.ai, a startup building a trustworthy and open-source AI ecosystem with agency, accountability, and openness at its core. Mozilla will make an initial $30M investment in the company to fund the vision for making it easy to develop trustworthy AI products.