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The Gap Between Open and Closed AI Models Might Be Shrinking


Is the OpenAI moat shrinking against Open Source? - Reddit

... the gap between Open Source models and OpenAI? ... so open source small models will be very unlikely to close the gap with closed SOTA models.

Shrinking Artificial Intelligence - Communications of the ACM

Many edge-AI processors take advantage of this to cull operations that would involve a zero weight well before they reach the arithmetic units.

Abhijoy Sarkar - The Shrinking Data for AI: A Looming Crisis - LinkedIn

Data Drift: Over time, data can change in nature or quality, challenging AI systems to adapt effectively. ... Data Incompleteness: Missing or ...

Apple, Microsoft Shrink AI Models to Improve Them - IEEE Spectrum

Apple and Microsoft are among the tech companies releasing small language models in an effort to improve the accuracy and effectiveness of ...

AI models collapse when trained on recursively generated data

We also briefly mention two close concepts to model collapse from the existing literature: catastrophic forgetting arising in the framework of ...

Generative AI and the shrinking time-gap between unrecognizable ...

Instead you simply let your eyes focus on the application you want to open and then blink ever so slightly slower than you normally would. As ...

OpenAI Shrinks GPT-4o, Meta Withholds Models From Europe, and ...

Further, keeping ideas open-ended can be good for curiosity-driven ... A slimmed-down version of Open AI's multimodal flagship packs a low-price ...

Artificial Intelligence and the Future of Teaching and Learning (PDF)

... model can be analyzed with AI algorithms,49 and similar student models might be grouped for the teacher to interpret. Enhanced formative assessment may ...

Bit by Bit: Novel techniques to shrink AI's carbon footprint

Concern is growing over the rapid expansion of artificial intelligence (AI) and the demand the servers are placing on the electrical and ...

Generative AI and the future of work in America | McKinsey

An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight ...

Bridging the Achievement Gap with AI | by Rob Whiteman - Medium

Furthermore, the consequences of inaction will probably be worse than the alternative. Restricting AI access primarily hurts children trying to ...

When AI's Large Language Models Shrink - IEEE Spectrum

The pace of innovation in the GPU chips that are used to run AI is lagging behind model size, meaning that pretty soon we could face a “brick ...

Open questions and research gaps for monitoring and updating AI ...

AI models, even when operationalized to meet the needs of a specific health system, may need to be monitored and updated locally, regionally, or ...

Shrinking the giants: Paving the way for TinyAI: Device - Cell Press

In such scenarios, units with limited memory and processing power might struggle to receive critical AI model updates, potentially leading to ...

Shrinking the Giants: How knowledge distillation is Changing the ...

Deep learning models have transformed how we think about artificial intelligence, but as they get more extensive and more complicated, ...

No Moat: Closed AI gets its Open Source wakeup call — ft. Simon ...

* Emad Mostaque, himself a perma-champion of open source and open models ... can shrink it down ... For LoRA on Lama might not work on the Google model.

Quantum AI Breakthrough: New Theorem Shrinks Need for Training ...

“The need for large data sets could have been a roadblock to quantum AI, but our work removes this roadblock. While other issues for quantum AI ...

The Open or Closed AI Dilemma - Bipartisan Policy Center

These high expenses could lead to limited perspectives, reduced diversity in model development, and significantly limit the future trajectory of ...

The shrinking gap between computer games and AI systems

of the close-to-reality physics models future game engines will take on. Characters can initiate complex chain reactions of items in the environment. For ...

Re-Thinking Data Strategy and Integration for Artificial Intelligence

Lastly, data privacy is a major concern, as AI models may require access to sensitive data, which raises concerns about data privacy and security. In this ...