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AI Misconceptions

Openfabric AI addresses AI misconceptions and provided detail info on how humanity can leverage AI in our everyday lives with out fear of the unknown....

Applications of distributed machine learning and its challenges
Jul 11, 2025 6 minutes

Applications of distributed machine learning and its challenges

Machine learning is applied in many sectors. In marketing, distributed machine learning shares the burden from consumer data and helps companies to target better. Traditional routes are under threat from big data and real-time response. With DML, more machines can go to work in training sophisticated models with improved capabilities. By spreading load on added […]

6 Differences between Generative AI and Predictive AI?
Jun 27, 2025 6 minutes

6 Differences between Generative AI and Predictive AI?

If you go out in the streets and ask a bunch of people what AI is used for, most will list functions such as generating essays, answering queries, or generating pictures. A few might go out on a limb to suggest functions such as writing or correcting codes, but these most likely will be tech-savvy […]

Understanding the Limitations and Strengths of AI Reasoning Models
Jun 13, 2025 6 minutes

Understanding the Limitations and Strengths of AI Reasoning Models

For a while now, artificial intelligence has been on a journey to conquer and master complex reasoning, especially human-like reasoning. With this goal in mind, there have been several attempts at making AI reason and provide results with near-human precision. All these attempts led to the development of AI reasoning models in the 20th century. […]

Debunking AI Misconceptions: Openfabric Leads the Way
Apr 28, 2023 6 minutes

Debunking AI Misconceptions: Openfabric Leads the Way

Observing the growth of Artificial Intelligence (A.I.), it’s evident that having a basic understanding is crucial. According to a 2016 study, there is a greater than 50% likelihood that A.I. systems will achieve overall human-level performance by 2040-2050. Stuart Russell, the co-author of a widely used textbook on A.I., estimates that superintelligent A.I. could emerge […]

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